<!DOCTYPE article
PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.2 20190208//EN" "JATS-archivearticle1-mathml3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties open_access?><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">9215515</journal-id><journal-id journal-id-type="pubmed-jr-id">20498</journal-id><journal-id journal-id-type="nlm-ta">Neuroimage</journal-id><journal-id journal-id-type="iso-abbrev">Neuroimage</journal-id><journal-title-group><journal-title>NeuroImage</journal-title></journal-title-group><issn pub-type="ppub">1053-8119</issn><issn pub-type="epub">1095-9572</issn></journal-meta><article-meta><article-id pub-id-type="pmid">33878374</article-id><article-id pub-id-type="pmc">8284190</article-id><article-id pub-id-type="doi">10.1016/j.neuroimage.2021.118076</article-id><article-id pub-id-type="manuscript">NIHMS1722734</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Stability of hippocampal subfield volumes after trauma and relationship to development of PTSD symptoms</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Weis</surname><given-names>C.N.</given-names></name><xref rid="FN12" ref-type="author-notes">#</xref><xref rid="CR1" ref-type="corresp">*</xref></contrib><contrib contrib-type="author"><name><surname>Webb</surname><given-names>E.K.</given-names></name><xref rid="FN12" ref-type="author-notes">#</xref></contrib><contrib contrib-type="author"><name><surname>Huggins</surname><given-names>A.A.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Kallenbach</surname><given-names>M.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Miskovich</surname><given-names>T.A.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Fitzgerald</surname><given-names>J.M.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Bennett</surname><given-names>K.P.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Krukowski</surname><given-names>J.L.</given-names></name></contrib><contrib contrib-type="author"><name><surname>deRoon-Cassini</surname><given-names>T.A.</given-names></name><xref rid="FN13" ref-type="author-notes">$</xref></contrib><contrib contrib-type="author"><name><surname>Larson</surname><given-names>C.L.</given-names></name><xref rid="FN13" ref-type="author-notes">$</xref></contrib><aff id="A1">University of Wisconsin Milwaukee, Psychology, Department of Psychology, 334 Garland Hall, 2441 E. Hartford Ave, Milwaukee, WI 53211, United States</aff></contrib-group><author-notes><fn fn-type="con" id="FN1"><p id="P1">Credit author statement</p><p id="P2"><bold>Weis, C.N. *:</bold> conceptualization, methodology, software, formal analysis, writing- original draft, review, and editing</p><p id="P3"><bold>Webb, E.K. *:</bold> conceptualization, methodology, software, formal analysis, writing- original draft, review, and editing</p><p id="P4"><bold>Huggins, A. A.:</bold> software, investigation, writing- original draft, review, and editing.</p><p id="P5"><bold>Kallenbach, M.:</bold> software, investigation, writing- original draft, review, and editing.</p><p id="P6"><bold>Miskovich, T. A.:</bold> writing- original draft, review, and editing</p><p id="P7"><bold>Fitzgerald, J. M.:</bold> writing- original draft, review, and editing</p><p id="P8"><bold>Bennett, K. P.:</bold> writing- original draft, review, and editing</p><p id="P9"><bold>Krukowski, J. L.:</bold> investigation, writing- original draft, review, and editing.</p><p id="P10"><bold>deRoon-Cassini, T.A. **:</bold> supervision, funding acquisition, writing- original draft, review, and editing</p><p id="P11"><bold>Larson, C.L. **:</bold> supervision, project administration, funding acquisition, writing- original draft, review, and editing</p></fn><fn fn-type="other" id="FN12"><label>#</label><p id="P12">denotes shared first-author</p></fn><fn fn-type="other" id="FN13"><label>$</label><p id="P13">denotes shared senior-author</p></fn><corresp id="CR1"><label>*</label>Corresponding author. <email>cnweis@uwm.edu</email> (C.N. Weis).</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>11</day><month>7</month><year>2021</year></pub-date><pub-date pub-type="epub"><day>18</day><month>4</month><year>2021</year></pub-date><pub-date pub-type="ppub"><day>01</day><month>8</month><year>2021</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>8</month><year>2021</year></pub-date><volume>236</volume><fpage>118076</fpage><lpage>118076</lpage><!--elocation-id from pubmed: 10.1016/j.neuroimage.2021.118076--><permissions><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" specific-use="textmining" content-type="ccbyncndlicense">https://creativecommons.org/licenses/by-nc-nd/4.0/</ali:license_ref><license-p>This is an open access article under the CC BY-NC-ND license (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">http://creativecommons.org/licenses/by-nc-nd/4.0/</ext-link>)</license-p></license></permissions><abstract id="ABS1"><sec id="S1"><title>Background:</title><p id="P14">The hippocampus plays a central role in post-traumatic stress disorder (PTSD) pathogenesis, and the majority of neuroimaging research on PTSD has studied the hippocampus in its entirety. Although extensive literature demonstrates changes in hippocampal volume are associated with PTSD, fewer studies have probed the relationship between symptoms and the hippocampus&#x02019; functionally and structurally distinct subfields. We utilized data from a longitudinal study examining post-trauma outcomes to determine whether hippocampal subfield volumes change post-trauma and whether specific subfields are significantly associated with, or prospectively related to, PTSD symptom severity. As a secondary aim, we leveraged our unique study design sample to also investigate reliability of hippocampal subfield volumes using both cross-sectional and longitudinal pipelines available in <italic>FreeSurfer v6.0</italic>.</p></sec><sec id="S2"><title>Methods:</title><p id="P15">Two-hundred and fifteen traumatically injured individuals were recruited from an urban Emergency Department. Two-weeks post-injury, participants underwent two consecutive days of neuroimaging (time 1: T1, and time 2: T2) with magnetic resonance imaging (MRI) and completed self-report assessments. Six-months later (time 3: T3), participants underwent an additional scan and were administered a structured interview assessing PTSD symptoms. First, we calculated reliability of hippocampal measurements at T1 and T2 (automatically segmented with <italic>FreeSurfer</italic> v6.0). We then examined the prospective (T1 subfields) and cross-sectional (T3 subfields) relationship between volumes and PTSD. Finally, we tested whether change in subfield volumes between T1 and T3 explained PTSD symptom variability.</p></sec><sec id="S3"><title>Results:</title><p id="P16">After controlling for sex, age, and total brain volume, none of the subfield volumes (T1) were prospectively related to T3 PTSD symptoms nor were subfield volumes (T3) associated with current PTSD symptoms (T3). Tl &#x02013; T2 reliability of all hippocampal subfields ranged from good to excellent (intraclass correlation coefficient (ICC) values &#x0003e; 0.83), with poorer reliability in the hippocampal fissure.</p></sec><sec id="S4"><title>Conclusion:</title><p id="P17">Our study was a novel examination of the prospective relationship between hippocampal subfield volumes in relation to PTSD in a large trauma-exposed urban sample. There was no significant relationship between subfield volumes and PTSD symptoms, however, we confirmed <italic>FreeSurfer v6.0</italic> hippocampal subfield segmentation is reliable when applied to a traumatically-injured sample, using both cross-sectional and longitudinal analysis pipelines. Although hippocampal subfield volumes may be an important marker of individual variability in PTSD, findings are likely conditional on the timing of the measurements (e.g. acute or chronic post-trauma periods) and analysis strategy (e.g. cross-sectional or prospective).</p></sec></abstract><kwd-group><kwd>FreeSurfer</kwd><kwd>Magnetic resonance imaging</kwd><kwd>PTSD</kwd><kwd>Hippocampal subfields</kwd><kwd>Test-retest reliability</kwd></kwd-group></article-meta></front><body><sec id="S5"><label>1.</label><title>Introduction</title><p id="P18">The hippocampus is a brain structure of the medial temporal lobe known primarily for its role in supporting learning and memory functions (<xref rid="R43" ref-type="bibr">Jin and Maren, 2015</xref>; <xref rid="R45" ref-type="bibr">Joshi et al., 2020</xref>; <xref rid="R48" ref-type="bibr">Knierim, 2015</xref>; <xref rid="R58" ref-type="bibr">Maren et al., 2013</xref>; <xref rid="R94" ref-type="bibr">Wixted and Squire, 2011</xref>). Work with rodents and human case studies with selective hippocampal damage (e.g., patient H.M.; <xref rid="R84" ref-type="bibr">Squire, 2009</xref>) has thoroughly documented the structure and function of the hippocampus (<xref rid="R5" ref-type="bibr">Bartsch and Wulff, 2015</xref>; <xref rid="R14" ref-type="bibr">Coburn, 2018</xref>; <xref rid="R48" ref-type="bibr">Knierim, 2015</xref>; <xref rid="R55" ref-type="bibr">Lupien and Lepage, 2001</xref>; <xref rid="R70" ref-type="bibr">Phillips and LeDoux, 2021</xref>; <xref rid="R72" ref-type="bibr">Preston-Ferrer and Burgalossi, 2018</xref>; <xref rid="R86" ref-type="bibr">Tatu and Vuillier, 2014</xref>; <xref rid="R93" ref-type="bibr">Witter et al., 2017</xref>). Comprised of several subfields with specialized cytoarchitecture, connectivity, and function including Cornu Ammonis (CA) 1&#x02013;4, dentate gyrus (DG), presubiculum, subiculum, and parasubiculum, the hippocampus is integral for a myriad of mnemonic functions, such as the formation of fear memory traces (e.g., <xref rid="R14" ref-type="bibr">Coburn, 2018</xref>; <xref rid="R20" ref-type="bibr">El-Falougy and Benuska, 2006</xref>; <xref rid="R38" ref-type="bibr">Haukvik et al., 2018</xref>; <xref rid="R74" ref-type="bibr">Radonjic et al., 2014</xref>; <xref rid="R93" ref-type="bibr">Witter et al., 2017</xref>).</p><p id="P19">A substantial body of literature indicates the hippocampus is particularly vulnerable to stress from exposure to stress hormones produced by activity of the hypothalamic-pituitary-adrenal (HPA) axis (<xref rid="R5" ref-type="bibr">Bartsch and Wulff, 2015</xref>; <xref rid="R47" ref-type="bibr">Kim et al., 2015</xref>; <xref rid="R55" ref-type="bibr">Lupien and Lepage, 2001</xref>; <xref rid="R62" ref-type="bibr">McEwen et al., 2016</xref>; <xref rid="R63" ref-type="bibr">Miller and O&#x02019;Callaghan, 2005</xref>; <xref rid="R69" ref-type="bibr">Ortiz and Conrad, 2018</xref>). Morphological, structural, and functional changes of the hippocampus have been reported in an array of psychological disorders, including posttraumatic stress disorder (PTSD; <xref rid="R7" ref-type="bibr">Besnard and Sahay, 2016</xref>; <xref rid="R14" ref-type="bibr">Coburn, 2018</xref>; <xref rid="R39" ref-type="bibr">Hayes et al., 2017</xref>; <xref rid="R51" ref-type="bibr">Lazarov et al., 2017</xref>; <xref rid="R54" ref-type="bibr">Logue et al., 2018</xref>; <xref rid="R57" ref-type="bibr">Malivoire et al., 2018</xref>; <xref rid="R75" ref-type="bibr">Rangaprakash et al., 2017</xref>; <xref rid="R87" ref-type="bibr">Tural et al., 2018</xref>; <xref rid="R88" ref-type="bibr">van Rooij et al., 2018</xref>). PTSD, which may develop as a consequence of experiencing a trauma, is a debilitating psychiatric disorder (<xref rid="R21" ref-type="bibr">Fenster et al., 2018</xref>; <xref rid="R56" ref-type="bibr">Mahan and Ressler, 2012</xref>). Symptoms include re-experiencing the traumatic event (e.g., flashbacks), avoidance of stimuli associated with the event, negative affect and cognition, and heightened arousal (<xref rid="R2" ref-type="bibr">American Psychiatric Association, 2013</xref>). Differences in hippocampus volume, as well as function, are theorized to underly memory issues frequently present in individuals with PTSD (<xref rid="R45" ref-type="bibr">Joshi et al., 2020</xref>; <xref rid="R53" ref-type="bibr">Liberzon and Sripada, 2007</xref>; <xref rid="R62" ref-type="bibr">McEwen et al., 2016</xref>; <xref rid="R83" ref-type="bibr">Shin, 2006</xref>).</p><p id="P20">A number of scholars have suggested hippocampal volume is a biomarker of risk for PTSD development (i.e., vulnerability factor; <xref rid="R32" ref-type="bibr">Gilbertson et al., 2002</xref>; <xref rid="R33" ref-type="bibr">Gurvits et al., 2006</xref>; <xref rid="R50" ref-type="bibr">Kremen et al., 2012</xref>; <xref rid="R89" ref-type="bibr">Wang et al., 2010</xref>; <xref rid="R96" ref-type="bibr">Xie et al., 2018</xref>) <italic>and/or</italic> asserted that changes in volume track with PTSD symptoms (i.e., are caused by the resulting psychological sequela; <xref rid="R3" ref-type="bibr">Apfel et al., 2011</xref>; <xref rid="R34" ref-type="bibr">Gurvits et al., 1996</xref>; <xref rid="R95" ref-type="bibr">Woon and Hedges, 2008</xref>). Although more sparse, additional work has demonstrated null findings, suggesting smaller hippocampus volume is neither a risk factor nor a consequence of PTSD (e.g., <xref rid="R8" ref-type="bibr">Bonne et al., 2001</xref>). Notably, the majority of this work has referenced the whole volume (<xref rid="R8" ref-type="bibr">Bonne et al., 2001</xref>; <xref rid="R13" ref-type="bibr">Chen et al., 2018</xref>).</p><p id="P21">Closer examination of hippocampal subfields may afford greater precision to the utility of the region as a biomarker of PTSD. In addition, each subfield may play a differential role in symptom development. Impaired extinction of fear memories and over-consolidation of fear, are two hallmarks of PTSD development which may result from specific subfield functional and/or structural abnormalities (<xref rid="R56" ref-type="bibr">Mahan and Ressler, 2012</xref>). Select studies, with both adolescents and adults, have segmented the hippocampus into its subfields and demonstrated that PTSD symptom severity is associated with smaller dentate gyrus (<xref rid="R39" ref-type="bibr">Hayes et al., 2017</xref>; <xref rid="R71" ref-type="bibr">Postel et al., 2019</xref>; <xref rid="R89" ref-type="bibr">Wang et al., 2010</xref>), CA1 (<xref rid="R13" ref-type="bibr">Chen et al., 2018</xref>), hippocampus-amygdala transition area (<xref rid="R1" ref-type="bibr">Ahmed-Leitao et al., 2016</xref>; <xref rid="R4" ref-type="bibr">Averill et al., 2017</xref>); , and parasubiculum (<xref rid="R1" ref-type="bibr">Ahmed-Leitao et al., 2016</xref>).</p><p id="P22">Specific neurocircuitry within the hippocampus, as described in animal models, would suggest particular behavioral effects (i.e., aberrant memory formation, consolidation, retrieval) emerge when different hippocampal subfields are perturbed (<xref rid="R70" ref-type="bibr">Phillips and LeDoux, 2021</xref>; <xref rid="R72" ref-type="bibr">Preston-Ferrer and Burgalossi, 2018</xref>). For example, decreased volume in the dentate gyrus, a region proposed to underlie pattern separation processes, may contribute to overgeneralization of fear, a common theoretical model of PTSD (<xref rid="R39" ref-type="bibr">Hayes et al., 2017</xref>). Together the dentate gyrus and CA3 also work together to encode and retrieve spatial information, while the CA1 is essential for a myriad of mnemonic tasks, including autobiographical memory (<xref rid="R6" ref-type="bibr">Bartsch et al., 2011</xref>). The parasubiculium is also linked to processing spatial information (<xref rid="R17" ref-type="bibr">Dalton and Maguire, 2017</xref>). Although future work is required, these findings collectively suggest PTSD is linked with decreased volume of hippocampal subfields responsible for holistic representations of scenes and offer a potential mechanism by which trauma impacts hippocampal activity and memory (<xref rid="R64" ref-type="bibr">Miller and Wiener, 2014</xref>).</p><p id="P23">The current evidence suggests that differences in hippocampal subfield volumes may reflect a predisposition to PTSD as well as correspond to post-trauma symptom trajectories. However, the current literature is lacking evidence as to whether hippocampal subfield volumes measured <italic>acutely</italic> post-trauma are prospectively related to PTSD symptoms. If subfield volumes are to be a useful biomarker for post-trauma individual risk and resilience, the measurement of the volumes must be valid &#x02013; capture the individual differences associated with PTSD &#x02013; and be reliably measured (<xref rid="R18" ref-type="bibr">Dhama et al., 2019</xref>; <xref rid="R52" ref-type="bibr">Lehrner and Yehuda, 2014</xref>; <xref rid="R60" ref-type="bibr">Mayeux, 2004</xref>). Therefore, reliable measurement of hippocampal structure and subfields is important for accurate monitoring of morphological and volumetric changes that accompany PTSD (<xref rid="R5" ref-type="bibr">Bartsch and Wulff, 2015</xref>; <xref rid="R10" ref-type="bibr">Burke and Barnes, 2010</xref>; <xref rid="R30" ref-type="bibr">Fr&#x000f6;hner et al., 2019</xref>).</p><p id="P24">Although measurement of the whole hippocampus has proven reliable (<xref rid="R1" ref-type="bibr">Ahmed-Leitao et al., 2016</xref>; <xref rid="R9" ref-type="bibr">Brown et al., 2020</xref>; <xref rid="R41" ref-type="bibr">Hsu et al., 2002</xref>; <xref rid="R67" ref-type="bibr">Mulder et al., 2014</xref>; <xref rid="R81" ref-type="bibr">Schmidt et al., 2018</xref>), until recently, the small size of the subfields made assessing volumes challenging (<xref rid="R9" ref-type="bibr">Brown et al., 2020</xref>). Manual segmentation of the hippocampus and its subfields used to be the gold standard for segmentation despite the highly subjective process that depends heavily on the expertise of the evaluator (<xref rid="R19" ref-type="bibr">Dill et al., 2015</xref>; <xref rid="R97" ref-type="bibr">Yushkevich et al., 2015a</xref>,<xref rid="R99" ref-type="bibr">b</xref>). However, enhanced resolution of structural magnetic resonance imaging (MRI) technology and new segmentation programs have allowed for more quantitative approaches using atlases and probabilistic features of structural MRI data, making automated pipelines for hippocampal subfield segmentation a commonly used analytic tool (<xref rid="R19" ref-type="bibr">Dill et al., 2015</xref>). Although higher resolution images typically offer the most accurate segmentation (<xref rid="R92" ref-type="bibr">Wisse et al., 2016</xref>; <xref rid="R98" ref-type="bibr">Yushkevich et al., 2009</xref>), previous work has concluded automatic segmentation of hippocampal subfields in lower resolution images yields accurate measurements compared to manual edits (<xref rid="R97" ref-type="bibr">Yushkevich et al., 2015a</xref>,<xref rid="R99" ref-type="bibr">b</xref>).</p><p id="P25"><italic>FreeSurfer</italic> is perhaps the most widely used tool for automated tissue parcellation and cortical and subcortical segmentation (<xref rid="R26" ref-type="bibr">Fischl et al., 2002</xref>). Hippocampal subfield reliability processed through <italic>FreeSurfer</italic> has been evaluated across scanners (<xref rid="R59" ref-type="bibr">Marizzoni et al., 2015</xref>; <xref rid="R73" ref-type="bibr">Quattrini et al., 2020</xref>; <xref rid="R91" ref-type="bibr">Whelan et al., 2016</xref>) and across time on the scale of several months (<xref rid="R9" ref-type="bibr">Brown et al., 2020</xref>) to a year (<xref rid="R67" ref-type="bibr">Mulder et al., 2014</xref>). In the few studies that have assessed subfield reliability (<xref rid="R9" ref-type="bibr">Brown et al., 2020</xref>; <xref rid="R11" ref-type="bibr">Buser et al., 2020</xref>; <xref rid="R67" ref-type="bibr">Mulder et al., 2014</xref>), the majority appear to have moderate to good reliability, with the poorest reliability reported for the hippocampal fissure, which separates the dentate gyrus from the subiculum (<xref rid="R9" ref-type="bibr">Brown et al., 2020</xref>; <xref rid="R11" ref-type="bibr">Buser et al., 2020</xref>; <xref rid="R36" ref-type="bibr">Ha&#x00142;adaj, 2020</xref>; <xref rid="R91" ref-type="bibr">Whelan et al., 2016</xref>). However, to our knowledge, day-to-day reliability, when a difference in hippocampal volume would be <italic>least</italic> expected, has not been evaluated. Moreover, reliability of hippocampal subfields has been predominately assessed in aging or healthy populations (<xref rid="R29" ref-type="bibr">Flores et al., 2015</xref>; <xref rid="R81" ref-type="bibr">Schmidt et al., 2018</xref>).</p><p id="P26">Herein, we examined the relationship between hippocampal subfield volumes and PTSD in a longitudinal study of psychological outcomes following a traumatic injury, using the probabilistic atlas-based procedure within <italic>FreeSurfer</italic> (version 6.0). As a secondary aim, we assessed the reliability of hippocampal subfield measurement. The participants in the study were scanned at three times, on two consecutive days approximately 2-weeks after their traumatic injuries (time 1: T1, and time 2: T2), and 6 months (time 3: T3) after their injury. This design allowed us to address four critical aims: 1) assess the reliability of hippocampal subfields on two consecutive days of scanning (T1 &#x02013; T2), 2) determine whether hippocampal subfield measurements acutely post-trauma (T1) prospectively relate to future PTSD (T3), 3) examine the more routinely investigated cross-sectional association between subfield measurements at follow-up (T3) and current PTSD symptoms (T3), and 4) evaluate whether change in hippocampal volume (T1 &#x02013; T3) relates to future PTSD symptoms (T3).</p><p id="P27">Based on the aforementioned research, we hypothesized that smaller global hippocampal volume (T1) would prospectively relate to T3 PTSD symptoms (<xref rid="R32" ref-type="bibr">Gilbertson et al., 2002</xref>; <xref rid="R33" ref-type="bibr">Gurvits et al., 2006</xref>; <xref rid="R50" ref-type="bibr">Kremen et al., 2012</xref>; <xref rid="R89" ref-type="bibr">Wang et al., 2010</xref>; <xref rid="R96" ref-type="bibr">Xie et al., 2018</xref>). We also hypothesized smaller global hippocampal volume (<xref rid="R3" ref-type="bibr">Apfel et al., 2011</xref>; <xref rid="R34" ref-type="bibr">Gurvits et al., 1996</xref>; <xref rid="R95" ref-type="bibr">Woon and Hedges, 2008</xref>), as well as smaller dentate gyrus/CA4 and CA1 (measured at T3) would be significantly related to T3 PTSD symptoms (<xref rid="R39" ref-type="bibr">Hayes et al., 2017</xref>). Finally, we anticipated there would be a significant change between T1 and T3 volumes, such that decreases in dentate gyrus and CA1 volume would track with PTSD symptoms (<xref rid="R13" ref-type="bibr">Chen et al., 2018</xref>; <xref rid="R39" ref-type="bibr">Hayes et al., 2017</xref>).</p></sec><sec id="S6"><label>2.</label><title>Method</title><sec id="S7"><label>2.1.</label><title>Participants</title><p id="P28">Nine-hundred sixty-nine trauma survivors treated for their injuries at the Emergency Department (ED) at Froedtert Hospital (Milwaukee, Wisconsin, USA) were recruited for the <italic>Imaging Study on Trauma &#x00026; Resilience</italic> (iSTAR study). Participants were recruited and screened for eligibility directly from the ED or by phone following discharge. After expressing interest in study participation, the participant received a complete verbal overview of the study and provided written informed consent. All procedures were approved by the Medical College of Wisconsin Institutional Review Board.</p><p id="P29">Of the 969 recruited for the study, 215 met eligibility criteria and were enrolled. Individuals were eligible if their trauma exposure met criterion A of PTSD diagnosis as defined by the <italic>Diagnostic and Statistical Manual - 5th edition</italic> (<italic>DSM-5</italic>; <xref rid="R2" ref-type="bibr">American Psychiatric Association, 2013</xref>), scored a minimum of three on the Predicting PTSD Questionnaire (<xref rid="R79" ref-type="bibr">Rothbaum et al., 2014</xref>; represents a greater risk of PTSD development), if they were English speaking, between the ages of 18&#x02013;60 years, and able to schedule their first research visit within 30 days of their trauma. Exclusion criteria included contraindications for MRI scanning including metal objects or fragments in the body, claustrophobia, and pregnancy or planned pregnancy within the next 6 months, head injury more severe than a mild traumatic brain injury (score of less than 13 on the Glasgow Coma Scale; <xref rid="R85" ref-type="bibr">Sternbach, 2000</xref>), spinal cord injury with neurological deficit, self-inflicted injury, severe vision or hearing impairments, history of psychotic or manic symptoms, currently on antipsychotic medications, substance abuse noted in medical record, or on police hold following their injury. Sample characteristics are reported in <xref rid="T1" ref-type="table">Table 1</xref>.</p></sec><sec id="S8"><label>2.2.</label><title>Procedure</title><p id="P30">Participants attended research visits at three time points; within 2&#x02013;3 weeks on two consecutive days (T1, T2) and 6 months (T3) following the trauma that resulted in their ED admission. At all visits, a large battery of behavioral and cognitive tasks, demographics, self-report questionnaires, physiologic, biologic, and neuroimaging data were collected. Here we report on select study measures and the structural MRI data from all time points. Of the 215 initially enrolled in the study, 208 were scanned at T1 (96.7% retention), 185 at T2 (86.0% retention), and 160 at T3 (74.0% retention). Reductions in sample sizes at each time point were the result of expected losses to follow-up due to scheduling conflicts or discontinued interest in study participation. However, final sample sizes in the reliability analyses were further reduced due to qualitative assessment of motion artifacts (i.e. large-scale ghosting, zippering, blurring, signal-dropout, etc.) within anatomical scans (usable scans: T1 = 197, T2 = 178, T3 = 153) or due to missing scans at relevant time points. Therefore, our final sample size for the T1 &#x02013; T2 reliability analysis consisted of 175 with usable (motion artifact free) anatomical scans at both T1 and T2 (81.4% retention). Similarly, the final sample size for the analysis on T1 &#x02013; T3 change over time and PTSD symptoms, as well as the T1 &#x02013; T3 reliability analysis (included in <xref rid="SD1" ref-type="supplementary-material">Supplemental Material</xref>), included 141 participants with usable scans at both T1 and T3 (65.5% retention).</p><p id="P31">At T3, the Clinician Administered PTSD Scale for DSM-5 (CAPS-5) was administered by a trained staff member to evaluate PTSD symptoms with respect to the index trauma (<xref rid="R90" ref-type="bibr">Weathers et al., 2018</xref>). CAPS-5 is considered the gold-standard of PTSD psychodiagnostic assessments and has good validity with other measures of PTSD and high internal consistency (<xref rid="R90" ref-type="bibr">Weathers et al., 2018</xref>). The interview consists of 30 items, with the first 20 corresponding to symptoms of PTSD included in the DSM-5 (<xref rid="R2" ref-type="bibr">American Psychiatric Association, 2013</xref>). The interviewer rated each symptom on severity and frequency, with individual item scores ranging from 0 to 4. A total PTSD symptom severity score was created by summing the first 20 items. In the current study, 20% of the CAPS were subject to reliability checks and the total symptom severity scores had excellent reliability (interclass correlation coefficient = 0.96, 95% Confidence Interval [0.93&#x02013;0.98]).</p></sec><sec id="S9"><label>2.3.</label><title>MRI acquisition</title><p id="P32">Structural MRI scans were collected on one scanner: a 3.0T short bore GE Signa Excite system with a 32-channel head-coil. High resolution spoiled gradient recalled (SPGR) T1-weighted images were acquired in sagittal slices (voxel size = 1 &#x000d7; 0.9375 &#x000d7; 0.9375 mm, TR = 8.2 ms; TE = 3.2 ms; FOV = 240 mm; flip angle = 12&#x000b0;, slice thickness = 1 mm, # slices = 150, matrix = 150 &#x000d7; 256 &#x000d7; 256).</p></sec><sec id="S10"><label>2.4.</label><title>FreeSurfer processing pipeline</title><p id="P33">Anatomical T1-weighted scans from T1, T2, and T3 were all processed cross-sectionally in the <italic>FreeSurfer</italic> v6.0 <italic>recon-all</italic> pipeline for automated cortical and subcortical parcellations and tissue segmentation (<ext-link ext-link-type="uri" xlink:href="https://surfer.nmr.mgh.harvard.edu/">https://surfer.nmr.mgh.harvard.edu/</ext-link>). The technical details of the pipeline have been described extensively in previous publications (<xref rid="R15" ref-type="bibr">Dale et al., 1999</xref>; <xref rid="R16" ref-type="bibr">Dale and Sereno, 1993</xref>; <xref rid="R22" ref-type="bibr">Fischl, 2004</xref>; <xref rid="R25" ref-type="bibr">Fischl et al., 1999a</xref>,<xref rid="R28" ref-type="bibr">b</xref>, <xref rid="R24" ref-type="bibr">2001</xref>, <xref rid="R26" ref-type="bibr">2002</xref>, <xref rid="R27" ref-type="bibr">2004</xref>; <xref rid="R23" ref-type="bibr">Fischl and Dale, 2000</xref>; <xref rid="R37" ref-type="bibr">Han et al., 2006</xref>; <xref rid="R46" ref-type="bibr">Jovicich et al., 2006</xref>; <xref rid="R77" ref-type="bibr">Reuter et al., 2010</xref>, <xref rid="R78" ref-type="bibr">2012</xref>; <xref rid="R82" ref-type="bibr">S&#x000e9;gonne et al., 2004</xref>). Resultant reconstructions were visually inspected for quality control ensuring appropriate parcellations and segmentations were completed; however, no manual edits were made to limit experimenter bias (<xref rid="R61" ref-type="bibr">McCarthy et al., 2015</xref>). One subject was excluded from all analyses due to limited contrast resulting in poor reconstruction through the <italic>FreeSurfer</italic> pipeline (<italic>N</italic> = 175 for T1 &#x02013; T2, <italic>N</italic> = 141 for T1 &#x02013; T3).</p><p id="P34">As part of a supplemental analysis to compare reliability and performance of <italic>FreeSurfer</italic> processing pipelines, T1 and T3 (<italic>N</italic> = 141) scans were also processed through <italic>FreeSurfer&#x02019;s</italic> longitudinal processing stream (<xref rid="R77" ref-type="bibr">Reuter et al., 2010</xref>, <xref rid="R78" ref-type="bibr">2012</xref>). Thus, hippocampal subfield volume reliability was compared between outputs from the cross-sectional and longitudinal processing streams (see <xref rid="SD1" ref-type="supplementary-material">Supplemental Material</xref>).</p><sec id="S11"><label>2.4.1.</label><title>Hippocampal subfields</title><p id="P35">An automated pipeline for hippocampal subfield segmentation is included in <italic>FreeSurfer</italic> v6.0. This pipeline can be implemented on cross-sectional data and on the within-subject template from the longitudinal processing stream in <italic>FreeSurfer</italic>. The specific details of the steps within this pipeline are described in the original methods paper (<xref rid="R42" ref-type="bibr">Iglesias et al., 2015</xref>). Outputs from the analysis include volume estimates for each hemisphere of the following hippocampal subfields: hippocampal tail, subiculum, CA1, hippocampal fissure, presubiculum, parasubiculum, molecular layer, granule cell layer of the dentate gyrus (GC-DG), CA3, CA4, fimbria, hippocampal-amygdaloid transition area (HATA), and the whole hippocampus. See <xref rid="F1" ref-type="fig">Fig. 1</xref> for hippocampal subfield segmentation from a representative participant.</p></sec></sec><sec id="S12"><label>2.5.</label><title>Statistical analysis</title><sec id="S13"><label>2.5.1.</label><title>T1 &#x02013; T2 hippocampal subfield measurement reliability: percent volume difference (PVD) and intraclass correlation coefficients (ICC)</title><p id="P36">Average percent volume difference (PVD, <xref rid="FD1" ref-type="disp-formula">Eq. 1</xref>) was calculated as in <xref rid="R9" ref-type="bibr">Brown et al. (2020)</xref> and (<xref rid="R65" ref-type="bibr">Morey et al., 2009</xref>, <xref rid="R66" ref-type="bibr">2010</xref>) for each hemisphere and each subfield to determine volumetric correspondence between T1 &#x02013; T2 (<italic>N</italic> = 175).</p><disp-formula id="FD1"><label>(1)</label><mml:math display="block" id="M1"><mml:mrow><mml:mtext>Percent&#x000a0;Volume&#x000a0;Difference</mml:mtext><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:mrow><mml:mo>|</mml:mo><mml:mrow><mml:mi>A</mml:mi><mml:mo>&#x02212;</mml:mo><mml:mi>B</mml:mi></mml:mrow><mml:mo>|</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mrow><mml:mo>(</mml:mo><mml:mrow><mml:mfrac><mml:mrow><mml:mi>A</mml:mi><mml:mo>+</mml:mo><mml:mi>B</mml:mi></mml:mrow><mml:mn>2</mml:mn></mml:mfrac></mml:mrow><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:mfrac><mml:mo>&#x000d7;</mml:mo><mml:mn>100</mml:mn></mml:mrow></mml:math></disp-formula><p id="P37">In a similar manner, intra-class correlation coefficients (ICC) were calculated to assess within-subject variability of hippocampal subfield measurement across time. Using the statistical package &#x0201c;irr&#x0201d; in R (<xref rid="R31" ref-type="bibr">Gamer et al., 2012</xref>), ICC<sub>(3,1)</sub> was used to estimate the agreement of hippocampal subfield measurements for T1 &#x02013; T2 scans (<italic>N</italic> = 175). The ICC was modeled by a two-way mixed-effects model with random subject and fixed session effects. For both PVD and ICC, calculations for T1 &#x02013; T2 were done using outputs from <italic>FreeSurfer&#x02019;s</italic> cross-sectional processing stream.</p><p id="P38">In addition, we explored reliability (PVD and ICC) of hippocampal subfield measurement between T1 &#x02013; T3, without considering PTSD symptoms, using both the cross-sectional and longitudinal processing streams in <italic>FreeSurfer</italic>. The results of this analysis can be found in the <xref rid="SD1" ref-type="supplementary-material">Supplemental Material</xref>.</p></sec><sec id="S14"><label>2.5.2.</label><title>Hippocampal subfield volumes and PTSD symptoms</title><p id="P39">Of the 197 subjects with scans at T1, 30 did not complete the CAPS-5 at T3 and were therefore excluded from the analyses investigating PTSD symptoms. Thus, 167 individuals were included in the analysis examining T1 volumes and T3 PTSD symptoms and 139 subjects were analyzed in the tests assessing T3 volumes and T3 symptoms (two individuals who underwent T3 scanning did not complete the interview).</p><p id="P40">Bivariate relationships between PTSD symptom severity, age, and hippocampal subfields were first assessed using Pearson&#x02019;s correlations whereas the relationship between numeric variables and sex (coded &#x0201c;0&#x0201d; for males and &#x0201c;1&#x0201d; for females) were evaluated using point bi-serial correlation (see <xref rid="SD1" ref-type="supplementary-material">Supplemental Material</xref>). Considering we had no <italic>a-priori</italic> hypotheses regarding hemispheric differences, left and right hemispheres for each subfield, as well as whole hippocampus, were summed to yield a bilateral volume. In the primary analyses, general linear models were conducted to determine whether subfield volumes were prospectively related to T3 PTSD symptoms, or whether T3 subfield volumes were associated with T3 PTSD symptoms, after adjustment for sex, age, and total brain volume (total gray matter + total white matter). For all statistical tests, a Holm-Bonferroni correction was applied to correct for multiple comparisons (alpha = 0.05; <xref rid="R40" ref-type="bibr">Holm, 1979</xref>).</p></sec><sec id="S15"><label>2.5.3.</label><title>Change in hippocampal subfield volumes and PTSD symptoms</title><p id="P41">Finally, we examined the relationship of PVD (<xref rid="FD1" ref-type="disp-formula">Eq. 1</xref>) in hippocampal subfields across time (T1 &#x02013; T3) in relation to future PTSD symptoms (T3). Of the 141 participants with scans at T1 and T3, 4 did not complete the CAPS-5 at T3, therefore 137 participants were included in this analysis. Left and right hemispheres for each subfield were summed to yield a bilateral PVD measure. Thirteen (12 subfields + whole hippocampus) general linear models (GLMs) were run with CAPS-5 (T3) as the dependent variable, and bilateral PVD of a given hippocampal subfield (T1 &#x02013; T3) as the independent variable while controlling for sex, age, and total brain volume. For all statistical tests, a Holm-Bonferroni correction was applied to correct for multiple comparisons (alpha = 0.05; <xref rid="R40" ref-type="bibr">Holm, 1979</xref>).</p><p id="P42">For this analysis, we used volume measurements from <italic>FreeSurfer&#x02019;s</italic> longitudinal processing stream; however, for completeness, we repeated the above analysis with volume measurements from the cross-sectional processing stream. Complete results for both versions of the analysis can be found in the supplement (<xref rid="SD1" ref-type="supplementary-material">Supplemental Table 4</xref> and <xref rid="SD1" ref-type="supplementary-material">5</xref>).</p></sec></sec></sec><sec id="S16"><label>3.</label><title>Results</title><sec id="S17"><label>3.1.</label><title>PVD (T1 &#x02013; T2)</title><p id="P43"><xref rid="F2" ref-type="fig">Fig. 2</xref> depicts average PVD for hippocampal subfield measurements acquired across two consecutive days (T1 &#x02013; T2; <italic>N</italic> = 175). The subfields demonstrating highest consistency (PVD &#x0003c; 3%) included the molecular layer and whole hippocampal volume. The left fissure, bilateral parasubiculum, and HATA show the least consistency when processed showing approximately a 10% difference in volume across the two scans.</p><p id="P44">Results of the ICC analysis indicated good (between 0.75&#x02013;0.9) to excellent (greater than 0.9; <xref rid="R49" ref-type="bibr">Koo and Li, 2016</xref>) scan-rescan reliability (ranged from 0.83 to 0.94) across the two consecutive scanning days using the cross-sectional processing stream (T1 &#x02013; T2; <xref rid="T2" ref-type="table">Table 2</xref>).</p></sec><sec id="S18"><label>3.2.</label><title>Hippocampal subfield volumes (T1) and future PTSD symptoms (T3)</title><p id="P45">Bivariate relationships between hippocampal subfields (T1), sex, age, and T3 CAPS-5 total scores are presented in <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 1</xref>. Even before adjustment for multiple comparisons, none of the 12 subfield volumes were associated with T3 PTSD symptoms over and above total brain volume, age, and sex (<xref rid="T3" ref-type="table">Table 3</xref>; all full model uncorrected <italic>p&#x02019;s</italic> &#x0003e; 0.05; Hippocampal tail: R<sup>2</sup> = 0.02, <italic>F</italic>(4, 162) = 0.87, <italic>p</italic> = .482; Subiculum: R<sup>2</sup> = 0.01, <italic>F</italic>(4, 162) = 0.52, <italic>p</italic> = .719; CA1: R<sup>2</sup> = 0.01, F(4, 162) = 0.68, <italic>p</italic> = .601; Fissure: R<sup>2</sup> = 0.01, <italic>F</italic>(4, 162) = 0.53, <italic>p</italic> = .707; Presubiculum: R<sup>2</sup> = 0.01, <italic>F</italic>(4, 162) = 0.683, <italic>p</italic> = .601; Parasubiculum: R<sup>2</sup> = 0.02, <italic>F</italic>(4, 162) = 0.86, <italic>p</italic> = .483; Molecular Layer: R<sup>2</sup> = 0.01, <italic>F</italic>(4, 162) = 0.67, <italic>p</italic> = .609; GC-ML-DG: R<sup>2</sup> = 0.02, <italic>F</italic>(4, 162) = 1.17, <italic>p</italic> = .323; CA3: R<sup>2</sup> = 0.02, <italic>F</italic>(4, 162) = 1.00, <italic>p</italic> = .405; CA4: R<sup>2</sup> = 0.03, <italic>F</italic>(4, 162) = 1.31, <italic>p</italic> = .267; Fimbria: R<sup>2</sup> = 0.01, <italic>F</italic>(4, 162) = 0.54, <italic>p</italic> = .701; HATA: R<sup>2</sup> = 0.01, <italic>F</italic>(4, 162) = 0.72, <italic>p</italic> = .573). The whole hippocampus volume was not prospectively related to T3 PTSD symptoms, R<sup>2</sup> = 0.01, <italic>F</italic>(4, 162) = 0.61, <italic>p</italic> = .654.</p><p id="P46">T1 hippocampal subfield volumes separated by hemisphere were also examined. After correction for multiple comparisons, still no subfields were related to future symptoms.</p></sec><sec id="S19"><label>3.3.</label><title>Hippocampal subfield volumes (T3) associated with current PTSD symptoms (T3)</title><p id="P47">Bivariate relationships between hippocampal subfields (T3; obtained via cross-sectional pipeline), sex, age, and current PTSD symptoms are presented in <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 2</xref>.</p><p id="P48">None of the subfields were associated with PTSD symptoms even before correction for multiple comparisons (all full model uncorrected <italic>p&#x02019;s</italic> &#x0003e; 0.05; Tail: R<sup>2</sup> = 0.03, <italic>F</italic>(4, 134) = 1.22, <italic>p</italic> = .301; Subiculum: R<sup>2</sup> = 0.003, <italic>F</italic>(4, 134) = 0.11, <italic>p</italic> = .976; CA1: R<sup>2</sup> = 0.005, F(4, 134) = 0.18, <italic>p</italic> = .946; Fissure: R<sup>2</sup> = 0.003, <italic>F</italic>(4, 134) = 0.11, <italic>p</italic> = .977; Presubiculum: R<sup>2</sup> = 0.005, <italic>F</italic>(4, 134) = 0.19, <italic>p</italic> = .941; Parasubiculum: R<sup>2</sup> = 0.01, <italic>F</italic>(4, 134) = 0.41, <italic>p</italic> = .801; Molecular Layer: R<sup>2</sup> = 0.006, <italic>F</italic>(4, 134) = 0.23, <italic>p</italic> = .917; GC-ML-DG: R<sup>2</sup> = 0.01, <italic>F</italic>(4, 134) = 0.547, <italic>p</italic> = .700; CA3: R<sup>2</sup> = 0.001, <italic>F</italic>(4, 134) = 0.59, <italic>p</italic> = .667; CA4: R<sup>2</sup> = 0.01, <italic>F</italic>(4, 134) = 0.563, <italic>p</italic> = .689; Fimbria: R<sup>2</sup> = 0.004, <italic>F</italic>(4, 134) = 0.13, <italic>p</italic> = .968; HATA: R<sup>2</sup> = 0.007, <italic>F</italic>(4, 134) = 0.24, <italic>p</italic> = .914), furthermore, whole hippocampus volume was not significantly associated with CAPS-5 scores, R<sup>2</sup> = 0.002, <italic>F</italic>(4, 134) = 0.09, <italic>p</italic> = .983.</p><p id="P49">Again, we examined the same set of relationships separately for each hemisphere, still no subfield volumes at T3 were related to T3 PTSD symptoms after correction for multiple comparisons.</p></sec><sec id="S20"><label>3.4.</label><title>Change in subfield volume and PTSD symptoms</title><p id="P50">Full model results of the GLM analysis of subfield PVD (T1 &#x02013; T3) associated with CAPS symptom severity (T3) using the longitudinal stream can be found in <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 4</xref>. Results using the longitudinal stream outputs indicated there were differences in subfield significance (namely, bilateral fissure and subiculum); however, no results of this analysis survived correction for multiple comparisons using the Holm-Bonferroni method (all adjusted <italic>p</italic> &#x0003e; .80; <xref rid="R40" ref-type="bibr">Holm, 1979</xref>).</p><p id="P51">Though the primary evaluation in this analysis utilized the longitudinal stream outputs, examination of results using the cross-sectional stream outputs were also examined (<xref rid="SD1" ref-type="supplementary-material">Supplemental Table 5</xref>). No results of this analysis survived correction for multiple comparisons. Thus, in either analysis stream, change in hippocampal subfield volume over time (PVD T1 &#x02013; T3) was not related to future PTSD symptoms (T3). When hippocampal subfield volumes were examined separately by hemisphere, for either cross-sectional or longitudinal stream, no changes in volumes were related to PTSD symptoms. <xref rid="T4" ref-type="table">Table 4</xref></p></sec></sec><sec id="S21"><label>4.</label><title>Discussion</title><p id="P52">We assessed the relationship between subfields and the development of PTSD symptoms and the stability of hippocampal subfield volumes after trauma in a traumatically injured sample. Our longitudinal design, which consisted of two consecutive scans acutely post-trauma (T1 and T2) and one scan 6-months post-injury (T3), provided a unique opportunity to evaluate measurement reliability and utilize both the cross-sectional and longitudinal processing streams within <italic>FreeSurfer</italic>. We found the associations (although nonsignificant after correcting for multiple comparisons) between subfields and PTSD symptoms varied depending on whether the measurement was acquired acutely post-trauma (T1) or at follow-up (T3) and whether the analysis used the cross-sectional or longitudinal pipeline.</p><p id="P53">Reliability between Tl and T2 scans of hippocampal subfields ranged from good to excellent, with all ICC values over 0.83 (<xref rid="R49" ref-type="bibr">Koo and Li, 2016</xref>). Change in volume did not significantly relate to future PTSD symptoms, therefore, we were also interested in measurement differences between T1 &#x02013; T3. Reliability between T1 and T3 (<xref rid="SD1" ref-type="supplementary-material">Supplemental Material</xref>) also ranged from good to excellent with ICC values over 0.86 for both <italic>FreeSurfer</italic> processing streams (<xref rid="R49" ref-type="bibr">Koo and Li, 2016</xref>). In both sets of reliability analyses (T1 &#x02013; T2 and T1 &#x02013; T3), we replicated previous work showing excellent reliability in the whole hippocampus and the molecular layer (<xref rid="R9" ref-type="bibr">Brown et al., 2020</xref>) with poorer reliability in the hippocampal fissure (<xref rid="R73" ref-type="bibr">Quattrini et al., 2020</xref>). Percent volume difference metrics revealed similar outcomes; the lowest percent difference between T1 and T2 was in the whole hippocampus and molecular layer whereas the hippocampal fissure, HATA, and parasubiculum had the largest differences. Using the longitudinal preprocessing pipeline (T1 &#x02013; T3) revealed the smallest percent differences; subfields demonstrating highest consistency (PVD &#x0003c; 3%) included the bilateral hippocampal tail, subiculum, CA1, molecular layer, and whole hippocampal volume. For both processing streams, the bilateral fissure, parasubiculum, and HATA showed the least consistency (PVD &#x0003e; 5%).</p><p id="P54">These results replicate and further support the reliability of <italic>FreeSurfer</italic> hippocampal subfield segmentation as demonstrated in other studies comparing varying sample sizes, scanners, and time intervals between scans (<xref rid="R9" ref-type="bibr">Brown et al., 2020</xref>; <xref rid="R91" ref-type="bibr">Whelan et al., 2016</xref>). Moreover, our traumatically injured sample yields a unique measurement of hippocampal volumes post-trauma that would not otherwise be reported in a healthy sample. Thus, reliable measurement across both sets of time-points is important in disentangling volumetric differences in subfields attributed to trauma-related outcomes rather than measurement biases over time.</p><p id="P55">Decreased bilateral dentate gyrus/CA4 volume (T1) did not relate to greater PTSD symptom severity (T3). Though the dentate gyrus has been demonstrated to be associated with <italic>current</italic> PTSD symptoms (<xref rid="R39" ref-type="bibr">Hayes et al., 2017</xref>), our results suggest that, in this sample, the dentate gyrus is not prospectively related to, or associated with PTSD symptoms. The size of the dentate gyrus may not be predisposing of PTSD, rather it may be sensitive to the stress associated with PTSD in specific samples, particularly those that are comprised of highly symptomatic participants or individuals who experienced sustained trauma exposure (e.g., combat veterans; <xref rid="R100" ref-type="bibr">Zimmerman et al., 2016</xref>).</p><p id="P56">Chronic stress in the environment that individuals return to after trauma may impact hippocampal volumes (<xref rid="R35" ref-type="bibr">Haddad et al., 2015</xref>). The majority of neuroimaging work has been conducted with predominately White participants. Our sample is distinctly comprised of participants from diverse racial, ethnic, and socioeconomic backgrounds. As more data emerges on the neural impact of socioeconomic position (e.g., <xref rid="R44" ref-type="bibr">Johnson et al., 2016</xref>; <xref rid="R68" ref-type="bibr">Noble et al., 2012</xref>), racism and race-based stressors (<xref rid="R12" ref-type="bibr">Carter, 2007</xref>), and chronic exposure to environmental/societal stress (e.g., community violence, environmental toxins, etc.), we encourage future neuroscience research to consider how other forms of traumatic and stressful exposures (e.g., racism, sexism, poverty) may be impacting brain regions highly vulnerable to stress such as the hippocampus.</p><p id="P57">Previous work has demonstrated smaller whole hippocampus volume is associated with PTSD (e.g., <xref rid="R54" ref-type="bibr">Logue et al., 2018</xref>; <xref rid="R80" ref-type="bibr">Salminen et al., 2019</xref>; <xref rid="R96" ref-type="bibr">Xie et al., 2018</xref>). Surprisingly, we did not find a bivariate association between hippocampal volume and PTSD symptoms, nor was global hippocampal volume a significant term in the regression analysis. It is important to note that a number of studies have not demonstrated a relationship between whole hippocampal volume and PTSD (e.g., <xref rid="R8" ref-type="bibr">Bonne et al., 2001</xref>; <xref rid="R13" ref-type="bibr">Chen et al., 2018</xref>; see meta-analysis by <xref rid="R54" ref-type="bibr">Logue et al., 2018</xref>); perhaps indicating the association is not as robust as widely assumed and that trauma type and timing of measurement are important factors.</p><p id="P58">Our results, regardless of processing pipeline, do not clearly align with the framework describing differences in hippocampal subfields as either a vulnerability factor of PTSD development or as part of the subsequent post-trauma neurobiological changes. Rather, they suggest the two hypotheses may not be mutually exclusive. Our unique experimental design also stressed the importance of considering timing of structural measurements. The lack of consensus between our results and the majority of previously published findings (c.f. <xref rid="R8" ref-type="bibr">Bonne et al., 2001</xref>) is less surprising given a large recent study found that major depressive disorder, a common co-morbid diagnoses with PTSD, was a better predictor of hippocampal subfields than PTSD (<xref rid="R80" ref-type="bibr">Salminen et al., 2019</xref>). Future research should attempt to disentangle the effects of PTSD and depression on hippocampal structure and should extend research efforts across various post-trauma timepoints.</p><sec id="S22"><label>4.1.</label><title>Limitations</title><p id="P59">Despite being a relatively large sample, the current results represent data from the same participants collected on the same scanner. To further validate the reliability of <italic>FreeSurfer&#x02019;s</italic> hippocampal subfield segmentation, larger samples should be collected on several scanners and with varying scan acquisition parameters. Greater resolution of anatomical scans would also likely enhance performance of the reconstruction pipeline. In addition, <italic>FreeSurfer&#x02019;s</italic> hippocampal subfield segmentation pipeline permits the inclusion of additional T2 weighted hippocampal scans to enhance segmentation reliability. Such scans were not collected in the current study and results still demonstrated reliable subfield estimation. However, future reliability examinations of this pipeline in <italic>FreeSurfer</italic> should include the additional T2 hippocampal scans.</p><p id="P60">The current sample was underpowered to investigate group differences (PTSD +/&#x02212;) in hippocampal subfield volumes. Although participants in the current study were traumatically injured, the rates of PTSD (18% PTSD+) and PTSD symptoms in the sample are rather low (Mean CAPS-5 Total Severity = 11.77, <italic>N</italic> = 140). Similarly, the majority of the sample was injured in a motor vehicle crash yielding a sample less generalizable to samples with greater variability in trauma exposures (i.e., assault, combat, falls, etc.). Finally, we did not acquire a pre-trauma scan and therefore we were unable to explore whether differences in structure that predate the trauma can predict future trauma outcomes. The combination of these factors may explain the lack of replication of the well described smaller hippocampus and PTSD relationship (<xref rid="R39" ref-type="bibr">Hayes et al., 2017</xref>; <xref rid="R54" ref-type="bibr">Logue et al., 2018</xref>; <xref rid="R80" ref-type="bibr">Salminen et al., 2019</xref>). Though our reliability results closely resemble those reported from samples of healthy adults (<xref rid="R9" ref-type="bibr">Brown et al., 2020</xref>; <xref rid="R73" ref-type="bibr">Quattrini et al., 2020</xref>), and we excluded participants with head injury greater than mild TBI, using acute trauma survivors may confound hippocampal subfield reliability estimates as effects of physical trauma on volumes cannot be ruled out.</p><p id="P61">The hippocampus volume differences between individuals are relatively small. The average hippocampal reduction associated with a PTSD diagnosis is typically subtle, especially when trauma types are collapsed (mixed-trauma sample; <xref rid="R80" ref-type="bibr">Salminen et al., 2019</xref>). Coupled with the variability in measurement reliability, caution should be taken when interpreting only change in hippocampal subfields over time.</p></sec></sec><sec id="S23"><title>Conclusions</title><p id="P62">The current study demonstrated excellent reliability of <italic>FreeSurfer 6.0</italic> hippocampal subfield segmentation, on scans acquired on two consecutive days and six months apart, within a large trauma-exposed sample. Findings replicate and extend previous work examining <italic>FreeSurfer</italic> reliability by using a larger sample and time points not previously examined. Reliability of automated hippocampal subfield segmentations is crucial to research examining diseases and disorders affecting the hippocampus. Though ongoing validation is necessary, the current results contribute to the promise of robust methodology within <italic>FreeSurfer</italic> in examining brain-related changes associated with trauma exposure.</p><p id="P63">Although in our sample the hippocampal subfields volumes did not prospectively relate to or track with PTSD symptoms, future work should still consider how the function and structure of the distinct subfields may underlie pathogenesis of PTSD symptoms. Elucidating the role of hippocampal subfields in PTSD may lead to more effective treatments of specific symptoms (e.g., impaired extinction and over-consolidation of fear).</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material content-type="local-data" id="SD1"><label>1</label><media xlink:href="NIHMS1722734-supplement-1.docx" orientation="portrait" id="d40e1432" position="anchor"/></supplementary-material></sec></body><back><ack id="S24"><title>Acknowledgments</title><p id="P64">We would like to extend a special thanks to the iSTAR research team, especially Kate Isely and Sarah Stevens. The authors are also grateful to Milwaukee Trauma Outcomes Project research team, who have provided valuable feedback.</p><sec id="S25"><title>Financial disclosures</title><p id="P65">Support for the research, authorship, and/or publication of this article include the following: a NIH grant R01-M1H106574 (PI: Larson). E.K.W is supported by the National Center for Advancing Translational Sciences, National Institutes of Health (TL1TR001437). The content is solely the responsibility of the author(s) and does not necessarily represent the official views of the NIH.</p></sec></ack><fn-group><fn id="FN14"><p id="P66">Supplementary materials</p><p id="P67">Supplementary material associated with this article can be found, in the online version, at doi:<ext-link ext-link-type="doi" xlink:href="10.1016/j.neuroimage.2021.118076">10.1016/j.neuroimage.2021.118076</ext-link>.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><mixed-citation publication-type="journal"><name><surname>Ahmed-Leitao</surname><given-names>F</given-names></name>, <name><surname>Spies</surname><given-names>G</given-names></name>, <name><surname>van den Heuvel</surname><given-names>L</given-names></name>, <name><surname>Seedat</surname><given-names>S</given-names></name>, <year>2016</year>. <article-title>Hippocampal and amygdala volumes in adults with posttraumatic stress disorder secondary to childhood abuse or maltreatment: A systematic review</article-title>. <source>Psychiatry Research: Neuroimaging</source>
<volume>256</volume>, <fpage>33</fpage>&#x02013;<lpage>43</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.pscychresns.2016.09.008</pub-id><comment>.</comment><pub-id pub-id-type="pmid">27669407</pub-id></mixed-citation></ref><ref id="R2"><mixed-citation publication-type="book"><collab>American Psychiatric Association</collab>, <year>2013</year>. <chapter-title>Diagnostic and Statistical Manual of Mental Disorders</chapter-title>, <edition>5th Edition</edition>: <source>DSM-5, 5 edition</source>
<publisher-name>American Psychiatric Publishing</publisher-name>.</mixed-citation></ref><ref id="R3"><mixed-citation publication-type="journal"><name><surname>Apfel</surname><given-names>BA</given-names></name>, <name><surname>Ross</surname><given-names>J</given-names></name>, <name><surname>Hlavin</surname><given-names>J</given-names></name>, <name><surname>Meyerhoff</surname><given-names>DJ</given-names></name>, <name><surname>Metzler</surname><given-names>TJ</given-names></name>, <name><surname>Marmar</surname><given-names>CR</given-names></name>, <name><surname>Weiner</surname><given-names>MW</given-names></name>, <name><surname>Schuff</surname><given-names>N</given-names></name>, <name><surname>Neylan</surname><given-names>TC</given-names></name>, <year>2011</year>. <article-title>Hippocampal volume differences in gulf war veterans with current versus lifetime posttraumatic stress disorder symptoms</article-title>. <source>Biol. Psychiatry</source>
<volume>69</volume> (<issue>6</issue>), <fpage>541</fpage>&#x02013;<lpage>548</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biopsych.2010.09.044</pub-id><comment>.</comment><pub-id pub-id-type="pmid">21094937</pub-id></mixed-citation></ref><ref id="R4"><mixed-citation publication-type="journal"><name><surname>Averill</surname><given-names>CL</given-names></name>, <name><surname>Satodiya</surname><given-names>RM</given-names></name>, <name><surname>Scott</surname><given-names>JC</given-names></name>, <name><surname>Wrocklage</surname><given-names>KM</given-names></name>, <name><surname>Schweinsburg</surname><given-names>B</given-names></name>, <name><surname>Averill</surname><given-names>LA</given-names></name>, <name><surname>Akiki</surname><given-names>TJ</given-names></name>, <name><surname>Amoroso</surname><given-names>T</given-names></name>, <name><surname>Southwick</surname><given-names>SM</given-names></name>, <name><surname>Krystal</surname><given-names>JH</given-names></name>, <name><surname>Abdallah</surname><given-names>CG</given-names></name>, <year>2017</year>. <article-title>Post-traumatic stress disorder and depression symptom severities are differentially associated with hippocampal subfield volume loss in combat veterans</article-title>. <source>Chron. Stress</source>
<volume>1</volume>. doi: <pub-id pub-id-type="doi">10.1177/2470547017744538</pub-id>, <comment>2470547017744538.</comment></mixed-citation></ref><ref id="R5"><mixed-citation publication-type="journal"><name><surname>Bartsch</surname><given-names>T</given-names></name>, <name><surname>Wulff</surname><given-names>P</given-names></name>, <year>2015</year>. <article-title>The hippocampus in aging and disease: from plasticity to vulnerability</article-title>. <source>Neuroscience</source>
<volume>309</volume>, <fpage>1</fpage>&#x02013;<lpage>16</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroscience.2015.07.084</pub-id><comment>.</comment><pub-id pub-id-type="pmid">26241337</pub-id></mixed-citation></ref><ref id="R6"><mixed-citation publication-type="journal"><name><surname>Bartsch</surname><given-names>Thorsten</given-names></name>, <name><surname>D&#x000f6;hring</surname><given-names>J</given-names></name>, <name><surname>Rohr</surname><given-names>A</given-names></name>, <name><surname>Jansen</surname><given-names>O</given-names></name>, <name><surname>Deuschl</surname><given-names>G</given-names></name>, <year>2011</year>. <article-title>CA1 neurons in the human hippocampus are critical for autobiographical memory, mental time travel, and autonoetic consciousness</article-title>. <source>Proc. Natl. Acad. Sci</source>
<volume>108</volume> (<issue>42</issue>), <fpage>17562</fpage>&#x02013;<lpage>17567</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.1110266108</pub-id><comment>.</comment><pub-id pub-id-type="pmid">21987814</pub-id></mixed-citation></ref><ref id="R7"><mixed-citation publication-type="journal"><name><surname>Besnard</surname><given-names>A</given-names></name>, <name><surname>Sahay</surname><given-names>A</given-names></name>, <year>2016</year>. <article-title>Adult hippocampal neurogenesis, fear generalization, and stress</article-title>. <source>Neuropsychopharmacology</source>
<volume>41</volume> (<issue>1</issue>), <fpage>24</fpage>&#x02013;<lpage>44</lpage>. doi: <pub-id pub-id-type="doi">10.1038/npp.2015.167</pub-id><comment>.</comment><pub-id pub-id-type="pmid">26068726</pub-id></mixed-citation></ref><ref id="R8"><mixed-citation publication-type="journal"><name><surname>Bonne</surname><given-names>O</given-names></name>, <name><surname>Brandes</surname><given-names>D</given-names></name>, <name><surname>Gilboa</surname><given-names>A</given-names></name>, <name><surname>Gomori</surname><given-names>JM</given-names></name>, <name><surname>Shenton</surname><given-names>ME</given-names></name>, <name><surname>Pitman</surname><given-names>RK</given-names></name>, <name><surname>Shalev</surname><given-names>AY</given-names></name>, <year>2001</year>. <article-title>Longitudinal MRI study of hippocampal volume in trauma survivors with PTSD</article-title>. <source>Am. J. Psychiatry</source>
<volume>158</volume> (<issue>8</issue>), <fpage>1248</fpage>&#x02013;<lpage>1251</lpage>. doi: <pub-id pub-id-type="doi">10.1176/appi.ajp.158.8.1248</pub-id><comment>.</comment><pub-id pub-id-type="pmid">11481158</pub-id></mixed-citation></ref><ref id="R9"><mixed-citation publication-type="journal"><name><surname>Brown</surname><given-names>EM</given-names></name>, <name><surname>Pierce</surname><given-names>ME</given-names></name>, <name><surname>Clark</surname><given-names>DC</given-names></name>, <name><surname>Fischl</surname><given-names>BR</given-names></name>, <name><surname>Iglesias</surname><given-names>JE</given-names></name>, <name><surname>Milberg</surname><given-names>WP</given-names></name>, <name><surname>McGlinchey</surname><given-names>RE</given-names></name>, <name><surname>Salat</surname><given-names>DH</given-names></name>, <year>2020</year>. <article-title>Test-retest reliability of FreeSurfer automated hippocampal subfield segmentation within and across scanners</article-title>. <source>Neuroimage</source>
<volume>210</volume>, <fpage>116563</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2020.116563</pub-id><comment>.</comment><pub-id pub-id-type="pmid">31972281</pub-id></mixed-citation></ref><ref id="R10"><mixed-citation publication-type="journal"><name><surname>Burke</surname><given-names>SN</given-names></name>, <name><surname>Barnes</surname><given-names>CA</given-names></name>, <year>2010</year>. <article-title>Senescent synapses and hippocampal circuit dynamics</article-title>. <source>Trends Neurosci</source>. <volume>33</volume> (<issue>3</issue>), <fpage>153</fpage>&#x02013;<lpage>161</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tins.2009.12.003</pub-id><comment>.</comment><pub-id pub-id-type="pmid">20071039</pub-id></mixed-citation></ref><ref id="R11"><mixed-citation publication-type="journal"><name><surname>Buser</surname><given-names>NJ</given-names></name>, <name><surname>Madan</surname><given-names>CR</given-names></name>, <name><surname>Hanson</surname><given-names>JL</given-names></name>, <year>2020</year>. <article-title>Quantifying numerical and spatial reliability of amygdala and hippocampal subdivisions in FreeSurfer [Preprint]</article-title>. <source>Neuroscience</source> doi: <pub-id pub-id-type="doi">10.1101/2020.06.12.149203</pub-id><comment>.</comment></mixed-citation></ref><ref id="R12"><mixed-citation publication-type="journal"><name><surname>Carter</surname><given-names>RT</given-names></name>, <year>2007</year>. <article-title>Racism and psychological and emotional injury: recognizing and assessing race-based traumatic stress</article-title>. <source>Couns. Psychol</source>
<volume>35</volume> (<issue>1</issue>), <fpage>13</fpage>&#x02013;<lpage>105</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0011000006292033</pub-id><comment>.</comment></mixed-citation></ref><ref id="R13"><mixed-citation publication-type="journal"><name><surname>Chen</surname><given-names>LW</given-names></name>, <name><surname>Sun</surname><given-names>D</given-names></name>, <name><surname>Davis</surname><given-names>SL</given-names></name>, <name><surname>Haswell</surname><given-names>CC</given-names></name>, <name><surname>Dennis</surname><given-names>EL</given-names></name>, <name><surname>Swanson</surname><given-names>CA</given-names></name>, <name><surname>Whelan</surname><given-names>CD</given-names></name>, <name><surname>Gutman</surname><given-names>B</given-names></name>, <name><surname>Jahanshad</surname><given-names>N</given-names></name>, <name><surname>Iglesias</surname><given-names>JE</given-names></name>, <name><surname>Thompson</surname><given-names>P</given-names></name>, <name><surname>Wagner</surname><given-names>HR</given-names></name>, <name><surname>Saemann</surname><given-names>P</given-names></name>, <name><surname>LaBar</surname><given-names>KS</given-names></name>,<name><surname>Morey</surname><given-names>RA</given-names></name>, <year>2018</year>. <article-title>Smaller hippocampal CA1 subfield volume in posttraumatic stress disorder</article-title>. <source>Depress. Anxiety</source>
<volume>35</volume> (<issue>11</issue>), <fpage>1018</fpage>&#x02013;<lpage>1029</lpage>. doi: <pub-id pub-id-type="doi">10.1002/da.22833</pub-id><comment>.</comment><pub-id pub-id-type="pmid">30256497</pub-id></mixed-citation></ref><ref id="R14"><mixed-citation publication-type="journal"><name><surname>Coburn</surname><given-names>D</given-names></name>, <year>2018</year>. <article-title>Using MR to view PTSD&#x02019;s effect on the amygdala and hippocampus</article-title>. <source>Radiol. Technol</source>
<volume>89</volume> (<issue>5</issue>), <fpage>5</fpage>.</mixed-citation></ref><ref id="R15"><mixed-citation publication-type="journal"><name><surname>Dale</surname><given-names>AM</given-names></name>, <name><surname>Fischl</surname><given-names>B</given-names></name>, <name><surname>Sereno</surname><given-names>MI</given-names></name>, <year>1999</year>. <article-title>Cortical surface-based analysis</article-title>. <source>Neuroimage</source>
<volume>9</volume> (<issue>2</issue>), <fpage>179</fpage>&#x02013;<lpage>194</lpage>. doi: <pub-id pub-id-type="doi">10.1006/nimg.1998.0395</pub-id><comment>.</comment><pub-id pub-id-type="pmid">9931268</pub-id></mixed-citation></ref><ref id="R16"><mixed-citation publication-type="journal"><name><surname>Dale</surname><given-names>AM</given-names></name>, <name><surname>Sereno</surname><given-names>MI</given-names></name>, <year>1993</year>. <article-title>Improved localizadon of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach</article-title>. <source>J. Cogn. Neurosci</source>
<volume>5</volume> (<issue>2</issue>), <fpage>162</fpage>&#x02013;<lpage>176</lpage>. doi: <pub-id pub-id-type="doi">10.1162/jocn.1993.5.2.162</pub-id><comment>.</comment><pub-id pub-id-type="pmid">23972151</pub-id></mixed-citation></ref><ref id="R17"><mixed-citation publication-type="journal"><name><surname>Dalton</surname><given-names>MA</given-names></name>, <name><surname>Maguire</surname><given-names>EA</given-names></name>, <year>2017</year>. <article-title>The pre/parasubiculum: a hippocampal hub for scene-based cognition?</article-title>
<source>Curr. Opin. Behav. Sci</source>
<volume>17</volume>, <fpage>34</fpage>&#x02013;<lpage>40</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cobeha.2017.06.001</pub-id><comment>.</comment><pub-id pub-id-type="pmid">29167810</pub-id></mixed-citation></ref><ref id="R18"><mixed-citation publication-type="journal"><name><surname>Dhama</surname><given-names>K</given-names></name>, <name><surname>Latheef</surname><given-names>SK</given-names></name>, <name><surname>Dadar</surname><given-names>M</given-names></name>, <name><surname>Samad</surname><given-names>HA</given-names></name>, <name><surname>Munjal</surname><given-names>A</given-names></name>, <name><surname>Khandia</surname><given-names>R</given-names></name>, <name><surname>Karthik</surname><given-names>K</given-names></name>, <name><surname>Tiwari</surname><given-names>R</given-names></name>, <name><surname>Yatoo</surname><given-names>Mohd.I.</given-names></name>, <name><surname>Bhatt</surname><given-names>P</given-names></name>, <name><surname>Chakraborty</surname><given-names>S</given-names></name>, <name><surname>Singh</surname><given-names>KP</given-names></name>, <name><surname>Iqbal</surname><given-names>HMN</given-names></name>, <name><surname>Chaicumpa</surname><given-names>W</given-names></name>, <name><surname>Joshi</surname><given-names>SK</given-names></name>, <year>2019</year>. <article-title>Biomarkers in stress related diseases/disorders: diagnostic, prognostic, and therapeutic values</article-title>. <source>Front. Mol. Biosci</source>
<volume>6</volume>. doi: <pub-id pub-id-type="doi">10.3389/fmolb.2019.00091</pub-id><comment>.</comment></mixed-citation></ref><ref id="R19"><mixed-citation publication-type="journal"><name><surname>Dill</surname><given-names>V</given-names></name>, <name><surname>Franco</surname><given-names>AR</given-names></name>, <name><surname>Pinho</surname><given-names>MS</given-names></name>, <year>2015</year>. <article-title>Automated methods for hippocampus segmentation: the evolution and a review of the state of the art</article-title>. <source>Neuroinformatics</source>
<volume>13</volume> (<issue>2</issue>), <fpage>133</fpage>&#x02013;<lpage>150</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s12021-014-9243-4</pub-id><comment>.</comment><pub-id pub-id-type="pmid">26022748</pub-id></mixed-citation></ref><ref id="R20"><mixed-citation publication-type="journal"><name><surname>El-Falougy</surname><given-names>H</given-names></name>, <name><surname>Benuska</surname><given-names>J</given-names></name>, <year>2006</year>. <article-title>History, anatomical nomenclature, comparative anatomy and functions of the hippocampal formation</article-title>. <source>Bratisl. Lek. Listy</source>
<volume>107</volume> (<issue>4</issue>), <fpage>103</fpage>&#x02013;<lpage>106</lpage>.<pub-id pub-id-type="pmid">16796134</pub-id></mixed-citation></ref><ref id="R21"><mixed-citation publication-type="journal"><name><surname>Fenster</surname><given-names>RJ</given-names></name>, <name><surname>Lebois</surname><given-names>LAM</given-names></name>, <name><surname>Ressler</surname><given-names>KJ</given-names></name>, <name><surname>Suh</surname><given-names>J</given-names></name>, <year>2018</year>. <article-title>Brain circuit dysfunction in post-traumatic stress disorder: from mouse to man</article-title>. <source>Nat. Rev. Neurosci</source>
<volume>19</volume> (<issue>9</issue>), <fpage>535</fpage>&#x02013;<lpage>551</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41583-018-0039-7</pub-id><comment>.</comment><pub-id pub-id-type="pmid">30054570</pub-id></mixed-citation></ref><ref id="R22"><mixed-citation publication-type="journal"><name><surname>Fischl</surname><given-names>B</given-names></name>, <year>2004</year>. <article-title>Automatically parcellating the human cerebral cortex</article-title>. <source>Cereb. Cortex</source>
<volume>14</volume> (<issue>1</issue>), <fpage>11</fpage>&#x02013;<lpage>22</lpage>. doi: <pub-id pub-id-type="doi">10.1093/cercor/bhg087</pub-id><comment>.</comment><pub-id pub-id-type="pmid">14654453</pub-id></mixed-citation></ref><ref id="R23"><mixed-citation publication-type="journal"><name><surname>Fischl</surname><given-names>B</given-names></name>, <name><surname>Dale</surname><given-names>AM</given-names></name>, <year>2000</year>. <article-title>Measuring the thickness of the human cerebral cortex from magnetic resonance images</article-title>. In: <source>Proceedings of the National Academy of Sciences</source>, <volume>97</volume>, pp. <fpage>11050</fpage>&#x02013;<lpage>11055</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.200033797</pub-id><comment>.</comment></mixed-citation></ref><ref id="R24"><mixed-citation publication-type="journal"><name><surname>Fischl</surname><given-names>B</given-names></name>, <name><surname>Liu</surname><given-names>A</given-names></name>, <name><surname>Dale</surname><given-names>AM</given-names></name>, <year>2001</year>. <article-title>Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex</article-title>. <source>IEEE Trans. Med. Imaging</source>
<volume>20</volume> (<issue>1</issue>), <fpage>70</fpage>&#x02013;<lpage>80</lpage>. doi: <pub-id pub-id-type="doi">10.1109/42.906426</pub-id><comment>.</comment><pub-id pub-id-type="pmid">11293693</pub-id></mixed-citation></ref><ref id="R25"><mixed-citation publication-type="journal"><name><surname>Fischl</surname><given-names>B</given-names></name>, <name><surname>Sereno</surname><given-names>MI</given-names></name>, <name><surname>Tootell</surname><given-names>RB</given-names></name>, <name><surname>Dale</surname><given-names>AM</given-names></name>, <year>1999a</year>. <article-title>High-resolution intersubject averaging and a coordinate system for the cortical surface</article-title>. <source>Hum. Brain Mapp</source>
<volume>8</volume> (<issue>4</issue>), <fpage>272</fpage>&#x02013;<lpage>284</lpage>. doi: <pub-id pub-id-type="doi">10.1002/(sici)1097-0193(1999)8:4&#x0003c;272::aid-hbm10&#x0003e;3.0.co;2-4</pub-id><comment>.</comment><pub-id pub-id-type="pmid">10619420</pub-id></mixed-citation></ref><ref id="R26"><mixed-citation publication-type="journal"><name><surname>Fischl</surname><given-names>Bruce</given-names></name>, <name><surname>Salat</surname><given-names>DH</given-names></name>, <name><surname>Busa</surname><given-names>E</given-names></name>, <name><surname>Albert</surname><given-names>M</given-names></name>, <name><surname>Dieterich</surname><given-names>M</given-names></name>, <name><surname>Haselgrove</surname><given-names>C</given-names></name>, <name><surname>van der Kouwe</surname><given-names>A</given-names></name>, <name><surname>Killiany</surname><given-names>R</given-names></name>, <name><surname>Kennedy</surname><given-names>D</given-names></name>, <name><surname>Klaveness</surname><given-names>S</given-names></name>, <name><surname>Montillo</surname><given-names>A</given-names></name>, <name><surname>Makris</surname><given-names>N</given-names></name>, <name><surname>Rosen</surname><given-names>B</given-names></name>, <name><surname>Dale</surname><given-names>AM</given-names></name>, <year>2002</year>. <article-title>Whole brain segmentation</article-title>. <source>Neuron</source>
<volume>33</volume> (<issue>3</issue>), <fpage>341</fpage>&#x02013;<lpage>355</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0896-6273(02)00569-X</pub-id><comment>.</comment><pub-id pub-id-type="pmid">11832223</pub-id></mixed-citation></ref><ref id="R27"><mixed-citation publication-type="journal"><name><surname>Fischl</surname><given-names>Bruce</given-names></name>, <name><surname>Salat</surname><given-names>DH</given-names></name>, <name><surname>van der Kouwe</surname><given-names>AJW</given-names></name>, <name><surname>Makris</surname><given-names>N</given-names></name>, <name><surname>S&#x000e9;gonne</surname><given-names>F</given-names></name>, <name><surname>Quinn</surname><given-names>BT</given-names></name>, <name><surname>Dale</surname><given-names>AM</given-names></name>, <year>2004</year>. <article-title>Sequence-independent segmentation of magnetic resonance images</article-title>. <source>Neuroimage</source>
<volume>23</volume>, <fpage>S69</fpage>&#x02013;<lpage>S84</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2004.07.016</pub-id><comment>.</comment><pub-id pub-id-type="pmid">15501102</pub-id></mixed-citation></ref><ref id="R28"><mixed-citation publication-type="journal"><name><surname>Fischl</surname><given-names>Bruce</given-names></name>, <name><surname>Sereno</surname><given-names>MI</given-names></name>, <name><surname>Dale</surname><given-names>AM</given-names></name>, <year>1999b</year>. <article-title>Cortical surface-based analysis</article-title>. <source>Neuroimage</source>
<volume>9</volume> (<issue>2</issue>), <fpage>195</fpage>&#x02013;<lpage>207</lpage>. doi: <pub-id pub-id-type="doi">10.1006/nimg.1998.0396</pub-id><comment>.</comment><pub-id pub-id-type="pmid">9931269</pub-id></mixed-citation></ref><ref id="R29"><mixed-citation publication-type="journal"><name><surname>Flores</surname><given-names>R.de</given-names></name>, <name><surname>Joie</surname><given-names>RL</given-names></name>, <name><surname>Landeau</surname><given-names>B</given-names></name>, <name><surname>Perrotin</surname><given-names>A</given-names></name>, <name><surname>M&#x000e9;zenge</surname><given-names>F</given-names></name>, <name><surname>de L. Sayette</surname><given-names>V</given-names></name>, <name><surname>Eustache</surname><given-names>F</given-names></name>, <name><surname>Desgranges</surname><given-names>B</given-names></name>, <name><surname>Ch&#x000e9;telat</surname><given-names>G</given-names></name>, <year>2015</year>. <article-title>Effects of age and Alzheimer&#x02019;s disease on hippocampal subfields</article-title>. <source>Hum. Brain Mapp</source>
<volume>36</volume> (<issue>2</issue>), <fpage>463</fpage>&#x02013;<lpage>474</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hbm.22640</pub-id><comment>.</comment><pub-id pub-id-type="pmid">25231681</pub-id></mixed-citation></ref><ref id="R30"><mixed-citation publication-type="journal"><name><surname>Fr&#x000f6;hner</surname><given-names>JH</given-names></name>, <name><surname>Teckentrup</surname><given-names>V</given-names></name>, <name><surname>Smolka</surname><given-names>MN</given-names></name>, <name><surname>Kroemer</surname><given-names>NB</given-names></name>, <year>2019</year>. <article-title>Addressing the reliability fallacy in fMRI: similar group effects may arise from unreliable individual effects</article-title>. <source>Neuroimage</source>
<volume>195</volume>, <fpage>174</fpage>&#x02013;<lpage>189</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2019.03.053</pub-id><comment>.</comment><pub-id pub-id-type="pmid">30930312</pub-id></mixed-citation></ref><ref id="R31"><mixed-citation publication-type="web"><name><surname>Gamer</surname><given-names>M</given-names></name>, <name><surname>Lemon</surname><given-names>J</given-names></name>, <name><surname>Singh</surname><given-names>I</given-names></name>, <year>2012</year>. <source>Irr: Various coefficients of Interrater Reliability and Agreement (Version 0.84.1)</source>
<comment><ext-link ext-link-type="uri" xlink:href="https://CRAN.R-project.org/package=irr">https://CRAN.R-project.org/package=irr</ext-link>.</comment></mixed-citation></ref><ref id="R32"><mixed-citation publication-type="journal"><name><surname>Gilbertson</surname><given-names>MW</given-names></name>, <name><surname>Shenton</surname><given-names>ME</given-names></name>, <name><surname>Ciszewski</surname><given-names>A</given-names></name>, <name><surname>Kasai</surname><given-names>K</given-names></name>, <name><surname>Lasko</surname><given-names>NB</given-names></name>, <name><surname>Orr</surname><given-names>SP</given-names></name>, <name><surname>Pitman</surname><given-names>RK</given-names></name>, <year>2002</year>. <article-title>Smaller hippocampal volume predicts pathologic vulnerability to psychological trauma</article-title>. <source>Nat. Neurosci</source>
<volume>5</volume> (<issue>11</issue>), <fpage>1242</fpage>&#x02013;<lpage>1247</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nn958</pub-id><comment>.</comment><pub-id pub-id-type="pmid">12379862</pub-id></mixed-citation></ref><ref id="R33"><mixed-citation publication-type="journal"><name><surname>Gurvits</surname><given-names>TV</given-names></name>, <name><surname>Metzger</surname><given-names>LJ</given-names></name>, <name><surname>Lasko</surname><given-names>NB</given-names></name>, <name><surname>Cannistraro</surname><given-names>PA</given-names></name>, <name><surname>Tarhan</surname><given-names>AS</given-names></name>, <name><surname>Gilbertson</surname><given-names>MW</given-names></name>, <name><surname>Orr</surname><given-names>SP</given-names></name>, <name><surname>Charbonneau</surname><given-names>AM</given-names></name>, <name><surname>Wedig</surname><given-names>MM</given-names></name>, <name><surname>Pitman</surname><given-names>RK</given-names></name>, <year>2006</year>. <article-title>Subtle neurologic compromise as a vulnerability factor for combat-related posttraumatic stress disorder: results of a twin study</article-title>. <source>Arch. Gen. Psychiatry</source>
<volume>63</volume> (<issue>5</issue>), <fpage>571</fpage>&#x02013;<lpage>576</lpage>. doi: <pub-id pub-id-type="doi">10.1001/arch-psyc.63.5.571</pub-id><comment>.</comment><pub-id pub-id-type="pmid">16651514</pub-id></mixed-citation></ref><ref id="R34"><mixed-citation publication-type="journal"><name><surname>Gurvits</surname><given-names>TV</given-names></name>, <name><surname>Shenton</surname><given-names>ME</given-names></name>, <name><surname>Hokama</surname><given-names>H</given-names></name>, <name><surname>Ohta</surname><given-names>H</given-names></name>, <name><surname>Lasko</surname><given-names>NB</given-names></name>, <name><surname>Gilbertson</surname><given-names>MW</given-names></name>, <name><surname>Orr</surname><given-names>SP</given-names></name>, <name><surname>Kikinis</surname><given-names>R</given-names></name>, <name><surname>Jolesz</surname><given-names>FA</given-names></name>, <name><surname>McCarley</surname><given-names>RW</given-names></name>, <name><surname>Pitman</surname><given-names>RK</given-names></name>, <year>1996</year>. <article-title>Magnetic resonance imaging study of hippocampal volume in chronic, combat-related posttraumatic stress disorder</article-title>. <source>Biol. Psychiatry</source>
<volume>40</volume> (<issue>11</issue>), <fpage>1091</fpage>&#x02013;<lpage>1099</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0006-3223(96)00229-6</pub-id><comment>.</comment><pub-id pub-id-type="pmid">8931911</pub-id></mixed-citation></ref><ref id="R35"><mixed-citation publication-type="journal"><name><surname>Haddad</surname><given-names>L</given-names></name>, <name><surname>Sch&#x000e4;fer</surname><given-names>A</given-names></name>, <name><surname>Streit</surname><given-names>F</given-names></name>, <name><surname>Lederbogen</surname><given-names>F</given-names></name>, <name><surname>Grimm</surname><given-names>O</given-names></name>, <name><surname>W&#x000fc;st</surname><given-names>S</given-names></name>, <name><surname>Deuschle</surname><given-names>M</given-names></name>, <name><surname>Kirsch</surname><given-names>P</given-names></name>, <name><surname>Tost</surname><given-names>H</given-names></name>, <name><surname>Meyer-Lindenberg</surname><given-names>A</given-names></name>, <year>2015</year>. <article-title>Brain structure correlates of urban upbringing, an environmental risk factor for schizophrenia</article-title>. <source>Schizophr. Bull</source>
<volume>41</volume> (<issue>1</issue>), <fpage>115</fpage>&#x02013;<lpage>122</lpage>. doi: <pub-id pub-id-type="doi">10.1093/schbul/sbu072</pub-id><comment>.</comment><pub-id pub-id-type="pmid">24894884</pub-id></mixed-citation></ref><ref id="R36"><mixed-citation publication-type="journal"><name><surname>Ha&#x00142;adaj</surname><given-names>R</given-names></name>, <year>2020</year>. <article-title>Anatomical variations of the dentate gyrus in normal adult brain</article-title>. <source>Surg. Radiol. Anat</source>
<volume>42</volume> (<issue>2</issue>), <fpage>193</fpage>&#x02013;<lpage>199</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00276-019-02298-5</pub-id><comment>.</comment><pub-id pub-id-type="pmid">31372742</pub-id></mixed-citation></ref><ref id="R37"><mixed-citation publication-type="journal"><name><surname>Han</surname><given-names>X</given-names></name>, <name><surname>Jovicich</surname><given-names>J</given-names></name>, <name><surname>Salat</surname><given-names>D</given-names></name>, <name><surname>van der Kouwe</surname><given-names>A</given-names></name>, <name><surname>Quinn</surname><given-names>B</given-names></name>, <name><surname>Czanner</surname><given-names>S</given-names></name>, <name><surname>Busa</surname><given-names>E</given-names></name>, <name><surname>Pacheco</surname><given-names>J</given-names></name>, <name><surname>Albert</surname><given-names>M</given-names></name>, <name><surname>Killiany</surname><given-names>R</given-names></name>, <name><surname>Maguire</surname><given-names>P</given-names></name>, <name><surname>Rosas</surname><given-names>D</given-names></name>, <name><surname>Makris</surname><given-names>N</given-names></name>, <name><surname>Dale</surname><given-names>A</given-names></name>, <name><surname>Dickerson</surname><given-names>B</given-names></name>, <name><surname>Fischl</surname><given-names>B</given-names></name>, <year>2006</year>. <article-title>Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer</article-title>. <source>Neuroimage</source>
<volume>32</volume> (<issue>1</issue>), <fpage>180</fpage>&#x02013;<lpage>194</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2006.02.051</pub-id><comment>.</comment><pub-id pub-id-type="pmid">16651008</pub-id></mixed-citation></ref><ref id="R38"><mixed-citation publication-type="journal"><name><surname>Haukvik</surname><given-names>UK</given-names></name>, <name><surname>Tamnes</surname><given-names>CK</given-names></name>, <name><surname>S&#x000f6;derman</surname><given-names>E</given-names></name>, <name><surname>Agartz</surname><given-names>I</given-names></name>, <year>2018</year>. <article-title>Neuroimaging hippocampal subfields in schizophrenia and bipolar disorder: a systematic review and meta-analysis</article-title>. <source>J. Psychiatr. Res</source>
<volume>104</volume>, <fpage>217</fpage>&#x02013;<lpage>226</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jpsychires.2018.08.012</pub-id><comment>.</comment><pub-id pub-id-type="pmid">30107268</pub-id></mixed-citation></ref><ref id="R39"><mixed-citation publication-type="journal"><name><surname>Hayes</surname><given-names>JP</given-names></name>, <name><surname>Hayes</surname><given-names>S</given-names></name>, <name><surname>Miller</surname><given-names>DR</given-names></name>, <name><surname>Lafleche</surname><given-names>G</given-names></name>, <name><surname>Logue</surname><given-names>MW</given-names></name>, <name><surname>Verfaellie</surname><given-names>M</given-names></name>, <year>2017</year>. <article-title>Automated measurement of hippocampal subfields in PTSD: evidence for smaller dentate gyrus volume</article-title>. <source>J. Psychiatr. Res</source>
<volume>95</volume>, <fpage>247</fpage>&#x02013;<lpage>252</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jpsychires.2017.09.007</pub-id><comment>.</comment><pub-id pub-id-type="pmid">28923718</pub-id></mixed-citation></ref><ref id="R40"><mixed-citation publication-type="journal"><name><surname>Holm</surname><given-names>S</given-names></name>, <year>1979</year>. <article-title>A simple sequentially rejective multiple test procedure</article-title>. <source>Scand. J. Stat</source>
<volume>6</volume> (<issue>2</issue>), <fpage>65</fpage>&#x02013;<lpage>70</lpage>.</mixed-citation></ref><ref id="R41"><mixed-citation publication-type="journal"><name><surname>Hsu</surname><given-names>Y-Y</given-names></name>, <name><surname>Schuff</surname><given-names>N</given-names></name>, <name><surname>Du</surname><given-names>A-T</given-names></name>, <name><surname>Mark</surname><given-names>K</given-names></name>, <name><surname>Zhu</surname><given-names>X</given-names></name>, <name><surname>Hardin</surname><given-names>D</given-names></name>, <name><surname>Weiner</surname><given-names>MW</given-names></name>, <year>2002</year>. <article-title>Comparison of automated and manual MRI volumetry of hippocampus in normal aging and dementia</article-title>. <source>J. Magn. Reson. Imaging : JMRI</source>
<volume>16</volume> (<issue>3</issue>), <fpage>305</fpage>&#x02013;<lpage>310</lpage>. doi: <pub-id pub-id-type="doi">10.1002/jmri.10163</pub-id><comment>.</comment><pub-id pub-id-type="pmid">12205587</pub-id></mixed-citation></ref><ref id="R42"><mixed-citation publication-type="journal"><name><surname>Iglesias</surname><given-names>JE</given-names></name>, <name><surname>Augustinack</surname><given-names>JC</given-names></name>, <name><surname>Nguyen</surname><given-names>K</given-names></name>, <name><surname>Player</surname><given-names>CM</given-names></name>, <name><surname>Player</surname><given-names>A</given-names></name>, <name><surname>Wright</surname><given-names>M</given-names></name>, <name><surname>Roy</surname><given-names>N</given-names></name>, <name><surname>Frosch</surname><given-names>MP</given-names></name>, <name><surname>McKee</surname><given-names>AC</given-names></name>, <name><surname>Wald</surname><given-names>LL</given-names></name>, <name><surname>Fischl</surname><given-names>B</given-names></name>, <name><surname>Van Leemput</surname><given-names>K</given-names></name>, <year>2015</year>. <article-title>A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: application to adaptive segmentation of in vivo MRI</article-title>. <source>Neuroimage</source>
<volume>115</volume>, <fpage>117</fpage>&#x02013;<lpage>137</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2015.04.042</pub-id><comment>.</comment><pub-id pub-id-type="pmid">25936807</pub-id></mixed-citation></ref><ref id="R43"><mixed-citation publication-type="journal"><name><surname>Jin</surname><given-names>J</given-names></name>, <name><surname>Maren</surname><given-names>S</given-names></name>, <year>2015</year>. <article-title>Prefrontal-hippocampal interactions in memory and emotion</article-title>. <source>Front. Syst. Neurosci</source>
<volume>9</volume>. doi: <pub-id pub-id-type="doi">10.3389/fnsys.2015.00170</pub-id><comment>.</comment></mixed-citation></ref><ref id="R44"><mixed-citation publication-type="journal"><name><surname>Johnson</surname><given-names>SB</given-names></name>, <name><surname>Riis</surname><given-names>JL</given-names></name>, <name><surname>Noble</surname><given-names>KG</given-names></name>, <year>2016</year>. <article-title>State of the art review: poverty and the developing brain</article-title>. <source>Pediatrics</source> (<issue>4</issue>) <fpage>137</fpage>. doi: <pub-id pub-id-type="doi">10.1542/peds.2015-3075</pub-id><comment>.</comment><pub-id pub-id-type="pmid">27543009</pub-id></mixed-citation></ref><ref id="R45"><mixed-citation publication-type="journal"><name><surname>Joshi</surname><given-names>SA</given-names></name>, <name><surname>Duval</surname><given-names>ER</given-names></name>, <name><surname>Kubat</surname><given-names>B</given-names></name>, <name><surname>Liberzon</surname><given-names>I</given-names></name>, <year>2020</year>. <article-title>A review of hippocampal activation in post-traumatic stress disorder</article-title>. <source>Psychophysiology</source>
<volume>57</volume> (<issue>1</issue>), <fpage>e13357</fpage>. doi: <pub-id pub-id-type="doi">10.1111/psyp.13357</pub-id><comment>.</comment><pub-id pub-id-type="pmid">30829407</pub-id></mixed-citation></ref><ref id="R46"><mixed-citation publication-type="journal"><name><surname>Jovicich</surname><given-names>J</given-names></name>, <name><surname>Czanner</surname><given-names>S</given-names></name>, <name><surname>Greve</surname><given-names>D</given-names></name>, <name><surname>Haley</surname><given-names>E</given-names></name>, <name><surname>van der Kouwe</surname><given-names>A</given-names></name>, <name><surname>Gollub</surname><given-names>R</given-names></name>, <name><surname>Kennedy</surname><given-names>D</given-names></name>, <name><surname>Schmitt</surname><given-names>F</given-names></name>, <name><surname>Brown</surname><given-names>G</given-names></name>, <name><surname>MacFall</surname><given-names>J</given-names></name>, <name><surname>Fischl</surname><given-names>B</given-names></name>, <name><surname>Dale</surname><given-names>A</given-names></name>, <year>2006</year>. <article-title>Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data</article-title>. <source>Neuroimage</source>
<volume>30</volume> (<issue>2</issue>), <fpage>436</fpage>&#x02013;<lpage>443</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2005.09.046</pub-id><comment>.</comment><pub-id pub-id-type="pmid">16300968</pub-id></mixed-citation></ref><ref id="R47"><mixed-citation publication-type="journal"><name><surname>Kim</surname><given-names>EJ</given-names></name>, <name><surname>Pellman</surname><given-names>B</given-names></name>, <name><surname>Kim</surname><given-names>JJ</given-names></name>, <year>2015</year>. <article-title>Stress effects on the hippocampus: a critical review</article-title>. <source>Learn. Mem</source>
<volume>22</volume> (<issue>9</issue>), <fpage>411</fpage>&#x02013;<lpage>416</lpage>. doi: <pub-id pub-id-type="doi">10.1101/lm.037291.114</pub-id><comment>.</comment><pub-id pub-id-type="pmid">26286651</pub-id></mixed-citation></ref><ref id="R48"><mixed-citation publication-type="journal"><name><surname>Knierim</surname><given-names>JJ</given-names></name>, <year>2015</year>. <article-title>The hippocampus</article-title>. <source>Curr. Biol</source>
<volume>25</volume> (<issue>23</issue>), <fpage>R1116</fpage>&#x02013;<lpage>R1121</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cub.2015.10.049</pub-id><comment>.</comment><pub-id pub-id-type="pmid">26654366</pub-id></mixed-citation></ref><ref id="R49"><mixed-citation publication-type="journal"><name><surname>Koo</surname><given-names>TK</given-names></name>, <name><surname>Li</surname><given-names>MY</given-names></name>, <year>2016</year>. <article-title>A guideline of selecting and reporting intraclass correlation coefficients for reliability research</article-title>. <source>J. Chiropr. Med</source>
<volume>15</volume> (<issue>2</issue>), <fpage>155</fpage>&#x02013;<lpage>163</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jcm.2016.02.012</pub-id><comment>.</comment><pub-id pub-id-type="pmid">27330520</pub-id></mixed-citation></ref><ref id="R50"><mixed-citation publication-type="journal"><name><surname>Kremen</surname><given-names>WS</given-names></name>, <name><surname>Koenen</surname><given-names>KC</given-names></name>, <name><surname>Afari</surname><given-names>N</given-names></name>, <name><surname>Lyons</surname><given-names>MJ</given-names></name>, <year>2012</year>. <article-title>Twin studies of posttraumatic stress disorder: differentiating vulnerability factors from sequelae</article-title>. <source>Neuropharmacology</source>
<volume>62</volume> (<issue>2</issue>), <fpage>647</fpage>&#x02013;<lpage>653</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuropharm.2011.03.012</pub-id><comment>.</comment><pub-id pub-id-type="pmid">21443892</pub-id></mixed-citation></ref><ref id="R51"><mixed-citation publication-type="journal"><name><surname>Lazarov</surname><given-names>A</given-names></name>, <name><surname>Zhu</surname><given-names>X</given-names></name>, <name><surname>Suarez-Jimenez</surname><given-names>B</given-names></name>, <name><surname>Rutherford</surname><given-names>BR</given-names></name>, <name><surname>Neria</surname><given-names>Y</given-names></name>, <year>2017</year>. <article-title>Resting-state functional connectivity of anterior and posterior hippocampus in posttraumatic stress disorder</article-title>. <source>J. Psychiatr. Res</source>
<volume>94</volume>, <fpage>15</fpage>&#x02013;<lpage>22</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jpsychires.2017.06.003</pub-id><comment>.</comment><pub-id pub-id-type="pmid">28633076</pub-id></mixed-citation></ref><ref id="R52"><mixed-citation publication-type="journal"><name><surname>Lehrner</surname><given-names>A</given-names></name>, <name><surname>Yehuda</surname><given-names>R</given-names></name>, <year>2014</year>. <article-title>Biomarkers of PTSD: military applications and considerations</article-title>. <source>Eur. J. Psychotraumatol</source>
<volume>5</volume>. doi: <pub-id pub-id-type="doi">10.3402/ejpt.v5.23797</pub-id><comment>.</comment></mixed-citation></ref><ref id="R53"><mixed-citation publication-type="book"><name><surname>Liberzon</surname><given-names>I</given-names></name>, &#x00026; <name><surname>Sripada</surname><given-names>CS</given-names></name> (<year>2007</year>). <chapter-title>The functional neuroanatomy of PTSD: a critical review</chapter-title>. In <name><surname>De Kloet</surname><given-names>ER</given-names></name>, <name><surname>Oitzl</surname><given-names>MS</given-names></name>, &#x00026; <name><surname>Vermetten</surname><given-names>E</given-names></name> (Eds.), <source>Progress in Brain Research</source> (Vol. <volume>167</volume>, pp. <fpage>151</fpage>&#x02013;<lpage>169</lpage>). <publisher-name>Elsevier</publisher-name>. <pub-id pub-id-type="doi">10.1016/S0079-6123(07)67011-3</pub-id></mixed-citation></ref><ref id="R54"><mixed-citation publication-type="journal"><name><surname>Logue</surname><given-names>MW</given-names></name>, <name><surname>van Rooij</surname><given-names>SJH</given-names></name>, <name><surname>Dennis</surname><given-names>EL</given-names></name>, <name><surname>Davis</surname><given-names>SL</given-names></name>, <name><surname>Hayes</surname><given-names>JP</given-names></name>, <name><surname>Stevens</surname><given-names>JS</given-names></name>, <name><surname>Densmore</surname><given-names>M</given-names></name>, <name><surname>Haswell</surname><given-names>CC</given-names></name>, <name><surname>Ipser</surname><given-names>J</given-names></name>, <name><surname>Koch</surname><given-names>SBJ</given-names></name>, <name><surname>Korgaonkar</surname><given-names>M</given-names></name>, <name><surname>Lebois</surname><given-names>LAM</given-names></name>, <name><surname>Peverill</surname><given-names>M</given-names></name>, <name><surname>Baker</surname><given-names>JT</given-names></name>, <name><surname>Boedhoe</surname><given-names>PSW</given-names></name>, <name><surname>Frijling</surname><given-names>JL</given-names></name>, <name><surname>Gruber</surname><given-names>SA</given-names></name>, <name><surname>Harpaz-Rotem</surname><given-names>I</given-names></name>, <name><surname>Jahanshad</surname><given-names>N</given-names></name>, <name><surname>Morey</surname><given-names>RA</given-names></name>, <year>2018</year>. <article-title>Smaller hippocampal volume in post-traumatic stress disorder: a multisite ENIGMA-PGC study: subcortical volumetry results from posttraumatic stress disorder consortia</article-title>. <source>Biol. Psychiatry</source>
<volume>83</volume> (<issue>3</issue>), <fpage>244</fpage>&#x02013;<lpage>253</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biopsych.2017.09.006</pub-id><comment>.</comment><pub-id pub-id-type="pmid">29217296</pub-id></mixed-citation></ref><ref id="R55"><mixed-citation publication-type="journal"><name><surname>Lupien</surname><given-names>SJ</given-names></name>, <name><surname>Lepage</surname><given-names>M</given-names></name>, <year>2001</year>. <article-title>Stress, memory, and the hippocampus: can&#x02019;t live with it, can&#x02019;t live without it</article-title>. <source>Behav. Brain Res</source>
<volume>127</volume> (<issue>1&#x02013;2</issue>), <fpage>137</fpage>&#x02013;<lpage>158</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0166-4328(01)00361-8</pub-id><comment>.</comment><pub-id pub-id-type="pmid">11718889</pub-id></mixed-citation></ref><ref id="R56"><mixed-citation publication-type="journal"><name><surname>Mahan</surname><given-names>AL</given-names></name>, <name><surname>Ressler</surname><given-names>KJ</given-names></name>, <year>2012</year>. <article-title>Fear conditioning, synaptic plasticity and the amygdala: implications for posttraumatic stress disorder</article-title>. <source>Trends Neurosci</source>. <volume>35</volume> (<issue>1</issue>), <fpage>24</fpage>&#x02013;<lpage>35</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tins.2011.06.007</pub-id><comment>.</comment><pub-id pub-id-type="pmid">21798604</pub-id></mixed-citation></ref><ref id="R57"><mixed-citation publication-type="journal"><name><surname>Malivoire</surname><given-names>BL</given-names></name>, <name><surname>Girard</surname><given-names>TA</given-names></name>, <name><surname>Patel</surname><given-names>R</given-names></name>, <name><surname>Monson</surname><given-names>CM</given-names></name>, <year>2018</year>. <article-title>Functional connectivity of hippocampal subregions in PTSD: relations with symptoms</article-title>. <source>BMC Psychiatry</source>
<volume>18</volume> (<issue>1</issue>), <fpage>129</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12888-018-1716-9</pub-id><comment>.</comment><pub-id pub-id-type="pmid">29764396</pub-id></mixed-citation></ref><ref id="R58"><mixed-citation publication-type="journal"><name><surname>Maren</surname><given-names>S</given-names></name>, <name><surname>Phan</surname><given-names>KL</given-names></name>, <name><surname>Liberzon</surname><given-names>I</given-names></name>, <year>2013</year>. <article-title>The contextual brain: implications for fear conditioning, extinction and psychopathology</article-title>. <source>Nat. Rev. Neurosci</source>
<volume>14</volume> (<issue>6</issue>), <fpage>417</fpage>&#x02013;<lpage>428</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrn3492</pub-id><comment>.</comment><pub-id pub-id-type="pmid">23635870</pub-id></mixed-citation></ref><ref id="R59"><mixed-citation publication-type="journal"><name><surname>Marizzoni</surname><given-names>M</given-names></name>, <name><surname>Antelmi</surname><given-names>L</given-names></name>, <name><surname>Bosch</surname><given-names>B</given-names></name>, <name><surname>Bartr&#x000e9;s-Faz</surname><given-names>D</given-names></name>, <name><surname>M&#x000fc;ller</surname><given-names>BW</given-names></name>, <name><surname>Wiltfang</surname><given-names>J</given-names></name>, <name><surname>Fiedler</surname><given-names>U</given-names></name>, <name><surname>Roccatagliata</surname><given-names>L</given-names></name>, <name><surname>Picco</surname><given-names>A</given-names></name>, <name><surname>Nobili</surname><given-names>F</given-names></name>, <name><surname>Blin</surname><given-names>O</given-names></name>, <name><surname>Bombois</surname><given-names>S</given-names></name>, <name><surname>Lopes</surname><given-names>R</given-names></name>, <name><surname>Sein</surname><given-names>J</given-names></name>, <name><surname>Ranjeva</surname><given-names>J-P</given-names></name>, <name><surname>Didic</surname><given-names>M</given-names></name>, <name><surname>Gros-Dagnac</surname><given-names>H</given-names></name>, <name><surname>Payoux</surname><given-names>P</given-names></name>, <name><surname>Zoccatelli</surname><given-names>G</given-names></name>, <name><surname>Jovicich</surname><given-names>J</given-names></name>, <year>2015</year>. <article-title>Longitudinal reproducibility of automatically segmented hippocampal subfields: a multisite European 3T study on healthy elderly</article-title>. <source>Hum. Brain Mapp</source>
<volume>36</volume> (<issue>9</issue>), <fpage>3516</fpage>&#x02013;<lpage>3527</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hbm.22859</pub-id><comment>.</comment><pub-id pub-id-type="pmid">26043939</pub-id></mixed-citation></ref><ref id="R60"><mixed-citation publication-type="journal"><name><surname>Mayeux</surname><given-names>R</given-names></name>, <year>2004</year>. <article-title>Biomarkers: potential uses and limitations</article-title>. <source>NeuroRx</source>
<volume>1</volume> (<issue>2</issue>), <fpage>182</fpage>&#x02013;<lpage>188</lpage>.<pub-id pub-id-type="pmid">15717018</pub-id></mixed-citation></ref><ref id="R61"><mixed-citation publication-type="journal"><name><surname>McCarthy</surname><given-names>CS</given-names></name>, <name><surname>Ramprashad</surname><given-names>A</given-names></name>, <name><surname>Thompson</surname><given-names>C</given-names></name>, <name><surname>Botti</surname><given-names>J-A</given-names></name>, <name><surname>Coman</surname><given-names>IL</given-names></name>, <name><surname>Kates</surname><given-names>WR</given-names></name>, <year>2015</year>. <article-title>A comparison of FreeSurfer-generated data with and without manual intervention</article-title>. <source>Front Neurosci</source>
<volume>9</volume>, <fpage>379</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnins.2015.00379</pub-id><comment>.</comment><pub-id pub-id-type="pmid">26539075</pub-id></mixed-citation></ref><ref id="R62"><mixed-citation publication-type="journal"><name><surname>McEwen</surname><given-names>BS</given-names></name>, <name><surname>Nasca</surname><given-names>C</given-names></name>, <name><surname>Gray</surname><given-names>JD</given-names></name>, <year>2016</year>. <article-title>Stress EFFECTS ON NEURONAL STRUCTURE: HIPPOCAMPUS, AMYGDALA, AND PREFRONTAL COrtex</article-title>. <source>Neuropsychopharmacology</source>
<volume>41</volume> (<issue>1</issue>), <fpage>3</fpage>&#x02013;<lpage>23</lpage>. doi: <pub-id pub-id-type="doi">10.1038/npp.2015.171</pub-id><comment>.</comment><pub-id pub-id-type="pmid">26076834</pub-id></mixed-citation></ref><ref id="R63"><mixed-citation publication-type="journal"><name><surname>Miller</surname><given-names>DB</given-names></name>, <name><surname>O&#x02019;Callaghan</surname><given-names>JP</given-names></name>, <year>2005</year>. <article-title>Aging, stress and the hippocampus</article-title>. <source>Ageing Res. Rev</source>
<volume>4</volume> (<issue>2</issue>), <fpage>123</fpage>&#x02013;<lpage>140</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.arr.2005.03.002</pub-id><comment>.</comment><pub-id pub-id-type="pmid">15964248</pub-id></mixed-citation></ref><ref id="R64"><mixed-citation publication-type="journal"><name><surname>Miller</surname><given-names>JK</given-names></name>, <name><surname>Wiener</surname><given-names>JM</given-names></name>, <year>2014</year>. <article-title>PTSD recovery, spatial processing, and the val66met polymorphism</article-title>. <source>Front. Hum. Neurosci</source>
<volume>8</volume>. doi: <pub-id pub-id-type="doi">10.3389/fnhum.2014.00100</pub-id><comment>.</comment></mixed-citation></ref><ref id="R65"><mixed-citation publication-type="journal"><name><surname>Morey</surname><given-names>R</given-names></name>, <name><surname>Petty</surname><given-names>C</given-names></name>, <name><surname>Xu</surname><given-names>Y</given-names></name>, <name><surname>Hayes</surname><given-names>J</given-names></name>, <name><surname>Wagner</surname><given-names>H</given-names></name>, <name><surname>Lewis</surname><given-names>D</given-names></name>, <name><surname>LaBar</surname><given-names>K</given-names></name>, <name><surname>Styner</surname><given-names>M</given-names></name>, <name><surname>McCarthy</surname><given-names>G</given-names></name>, <year>2009</year>. <article-title>A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes</article-title>. <source>Neuroimage</source>
<volume>45</volume> (<issue>3</issue>), <fpage>855</fpage>&#x02013;<lpage>866</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2008.12.033</pub-id><comment>.</comment><pub-id pub-id-type="pmid">19162198</pub-id></mixed-citation></ref><ref id="R66"><mixed-citation publication-type="journal"><name><surname>Morey</surname><given-names>R</given-names></name>, <name><surname>Selgrade</surname><given-names>E</given-names></name>, <name><surname>Wagner</surname><given-names>H</given-names></name>, <name><surname>Huettel</surname><given-names>S</given-names></name>, <name><surname>Wang</surname><given-names>L</given-names></name>, <name><surname>McCarthy</surname><given-names>G</given-names></name>, <year>2010</year>. <article-title>Scan&#x02013;rescan reliability of subcortical brain volumes derived from automated segmentation</article-title>. <source>Human Brain Mapping</source>
<volume>31</volume> (<issue>11</issue>), <fpage>1751</fpage>&#x02013;<lpage>1762</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hbm.20973</pub-id><comment>.</comment><pub-id pub-id-type="pmid">20162602</pub-id></mixed-citation></ref><ref id="R67"><mixed-citation publication-type="journal"><name><surname>Mulder</surname><given-names>ER</given-names></name>, <name><surname>de Jong</surname><given-names>RA</given-names></name>, <name><surname>Knol</surname><given-names>DL</given-names></name>, <name><surname>van Schijndel</surname><given-names>RA</given-names></name>, <name><surname>Cover</surname><given-names>KS</given-names></name>, <name><surname>Visser</surname><given-names>PJ</given-names></name>, <name><surname>Barkhof</surname><given-names>F</given-names></name>, <name><surname>Vrenken</surname><given-names>H</given-names></name>, <year>2014</year>. <article-title>Hippocampal volume change measurement: quantitative assessment of the reproducibility of expert manual outlining and the automated methods FreeSurfer and FIRST</article-title>. <source>Neuroimage</source>
<volume>92</volume>, <fpage>169</fpage>&#x02013;<lpage>181</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2014.01.058</pub-id><comment>.</comment><pub-id pub-id-type="pmid">24521851</pub-id></mixed-citation></ref><ref id="R68"><mixed-citation publication-type="journal"><name><surname>Noble</surname><given-names>KG</given-names></name>, <name><surname>Grieve</surname><given-names>SM</given-names></name>, <name><surname>Korgaonkar</surname><given-names>MS</given-names></name>, <name><surname>Engelhardt</surname><given-names>LE</given-names></name>, <name><surname>Griffith</surname><given-names>EY</given-names></name>, <name><surname>Williams</surname><given-names>LM</given-names></name>, <name><surname>Brickman</surname><given-names>AM</given-names></name>, <year>2012</year>. <article-title>Hippocampal volume varies with educational attainment across the life-span</article-title>. <source>Front. Hum. Neurosci</source>
<volume>6</volume>. doi: <pub-id pub-id-type="doi">10.3389/fnhum.2012.00307</pub-id><comment>.</comment></mixed-citation></ref><ref id="R69"><mixed-citation publication-type="journal"><name><surname>Ortiz</surname><given-names>JB</given-names></name>, <name><surname>Conrad</surname><given-names>CD</given-names></name>, <year>2018</year>. <article-title>The impact from the aftermath of chronic stress on hippocampal structure and function: is there a recovery?</article-title>
<source>Front. Neuroendocrinol</source>
<volume>49</volume>, <fpage>114</fpage>&#x02013;<lpage>123</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.yfrne.2018.02.005</pub-id><comment>.</comment><pub-id pub-id-type="pmid">29428548</pub-id></mixed-citation></ref><ref id="R70"><mixed-citation publication-type="other"><name><surname>Phillips</surname><given-names>RG</given-names></name>, <name><surname>LeDoux</surname><given-names>JE</given-names></name>, <year>2021</year>. <source>Differential Contribution of Amygdala and Hippocampus to Cued and Contextual Fear Conditioning</source>, p. <fpage>12</fpage>.</mixed-citation></ref><ref id="R71"><mixed-citation publication-type="journal"><name><surname>Postel</surname><given-names>C</given-names></name>, <name><surname>Viard</surname><given-names>A</given-names></name>, <name><surname>Andr&#x000e9;</surname><given-names>C</given-names></name>, <name><surname>Gu&#x000e9;nol&#x000e9;</surname><given-names>F</given-names></name>, <name><surname>Flores</surname><given-names>R.de</given-names></name>, <name><surname>Baleyte</surname><given-names>J-M</given-names></name>, <name><surname>Gerardin</surname><given-names>P</given-names></name>, <name><surname>Eustache</surname><given-names>F</given-names></name>, <name><surname>Dayan</surname><given-names>J</given-names></name>, <name><surname>Guillery-Girard</surname><given-names>B</given-names></name>, <year>2019</year>. <article-title>Hippocampal subfields alterations in adolescents with post-traumatic stress disorder</article-title>. <source>Hum. Brain Mapp</source>
<volume>40</volume> (<issue>4</issue>), <fpage>1244</fpage>&#x02013;<lpage>1252</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hbm.24443</pub-id><comment>.</comment><pub-id pub-id-type="pmid">30367743</pub-id></mixed-citation></ref><ref id="R72"><mixed-citation publication-type="journal"><name><surname>Preston-Ferrer</surname><given-names>P</given-names></name>, <name><surname>Burgalossi</surname><given-names>A</given-names></name>, <year>2018</year>. <article-title>Linking neuronal structure to function in rodent hippocampus: a methodological prospective</article-title>. <source>Cell Tissue Res</source>. <volume>373</volume> (<issue>3</issue>), <fpage>605</fpage>&#x02013;<lpage>618</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00441-017-2732-7</pub-id><comment>.</comment><pub-id pub-id-type="pmid">29181629</pub-id></mixed-citation></ref><ref id="R73"><mixed-citation publication-type="journal"><name><surname>Quattrini</surname><given-names>G</given-names></name>, <name><surname>Pievani</surname><given-names>M</given-names></name>, <name><surname>Jovicich</surname><given-names>J</given-names></name>, <name><surname>Aiello</surname><given-names>M</given-names></name>, <name><surname>Bargall&#x000f3;</surname><given-names>N</given-names></name>, <name><surname>Barkhof</surname><given-names>F</given-names></name>, <name><surname>Bartres-Faz</surname><given-names>D</given-names></name>, <name><surname>Beltramello</surname><given-names>A</given-names></name>, <name><surname>Pizzini</surname><given-names>FB</given-names></name>, <name><surname>Blin</surname><given-names>O</given-names></name>, <name><surname>Bordet</surname><given-names>R</given-names></name>, <name><surname>Caulo</surname><given-names>M</given-names></name>, <name><surname>Constantinides</surname><given-names>M</given-names></name>, <name><surname>Didic</surname><given-names>M</given-names></name>, <name><surname>Drevelegas</surname><given-names>A</given-names></name>, <name><surname>Ferretti</surname><given-names>A</given-names></name>, <name><surname>Fiedler</surname><given-names>U</given-names></name>, <name><surname>Floridi</surname><given-names>P</given-names></name>, <name><surname>Gros-Dagnac</surname><given-names>H</given-names></name>, <name><surname>Marizzoni</surname><given-names>M</given-names></name>, <year>2020</year>. <article-title>Amygdalar nuclei and hippocampal subfields on MRI: test-retest reliability of automated volumetry across different MRI sites and vendors</article-title>. <source>Neuroimage</source>
<volume>218</volume>, <fpage>116932</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2020.116932</pub-id><comment>.</comment><pub-id pub-id-type="pmid">32416226</pub-id></mixed-citation></ref><ref id="R74"><mixed-citation publication-type="journal"><name><surname>Radonjic</surname><given-names>V</given-names></name>, <name><surname>Malobabic</surname><given-names>S</given-names></name>, <name><surname>Radonjic</surname><given-names>V</given-names></name>, <name><surname>Puskas</surname><given-names>L</given-names></name>, <name><surname>Stijak</surname><given-names>L</given-names></name>, <name><surname>Aksic</surname><given-names>M</given-names></name>, <name><surname>Filipovic</surname><given-names>B</given-names></name>, <year>2014</year>. <article-title>Hippocampus: why is it studied so frequently?</article-title>
<source>Vojnosanit. Pregl</source>
<volume>71</volume> (<issue>2</issue>), <fpage>195</fpage>&#x02013;<lpage>201</lpage>. doi: <pub-id pub-id-type="doi">10.2298/VSP130222043R</pub-id><comment>.</comment><pub-id pub-id-type="pmid">24665579</pub-id></mixed-citation></ref><ref id="R75"><mixed-citation publication-type="journal"><name><surname>Rangaprakash</surname><given-names>D</given-names></name>, <name><surname>Deshpande</surname><given-names>G</given-names></name>, <name><surname>Daniel</surname><given-names>TA</given-names></name>, <name><surname>Goodman</surname><given-names>AM</given-names></name>, <name><surname>Robinson</surname><given-names>JL</given-names></name>, <name><surname>Salibi</surname><given-names>N</given-names></name>, <name><surname>Katz</surname><given-names>JS</given-names></name>, <name><surname>Denney</surname><given-names>TS</given-names></name>, <name><surname>Dretsch</surname><given-names>MN</given-names></name>, <year>2017</year>. <article-title>Compromised hippocampus-striatum pathway as a potential imaging biomarker of mild-traumatic brain injury and post-traumatic stress disorder: hippocampus-Striatum Pathway as a Biomarker of mTBI and PTSD</article-title>. <source>Hum. Brain Mapp</source>
<volume>38</volume> (<issue>6</issue>), <fpage>2843</fpage>&#x02013;<lpage>2864</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hbm.23551</pub-id><comment>.</comment><pub-id pub-id-type="pmid">28295837</pub-id></mixed-citation></ref><ref id="R76"><mixed-citation publication-type="journal"><name><surname>Reuter</surname><given-names>M</given-names></name>, <name><surname>Rosas</surname><given-names>HD</given-names></name>, <name><surname>Fischl</surname><given-names>B</given-names></name>, <year>2010b</year>. <article-title>Highly accurate inverse consistent registration: a robust approach</article-title>. <source>Neuroimage</source>
<volume>53</volume> (<issue>4</issue>), <fpage>1181</fpage>&#x02013;<lpage>1196</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2010.07.020</pub-id><comment>.</comment><pub-id pub-id-type="pmid">20637289</pub-id></mixed-citation></ref><ref id="R77"><mixed-citation publication-type="journal"><name><surname>Reuter</surname><given-names>M</given-names></name>, <name><surname>Rosas</surname><given-names>DH</given-names></name>, <name><surname>Fischl</surname><given-names>B</given-names></name>, <year>2010</year>. <article-title>Highly accurate inverse consistent registration: A robust approach</article-title>. <source>Neuroimage</source>
<volume>53</volume> (<issue>4</issue>), <fpage>1181</fpage>&#x02013;<lpage>1196</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2010.07.020</pub-id><comment>.</comment><pub-id pub-id-type="pmid">20637289</pub-id></mixed-citation></ref><ref id="R78"><mixed-citation publication-type="journal"><name><surname>Reuter</surname><given-names>M</given-names></name>, <name><surname>Schmansky</surname><given-names>NJ</given-names></name>, <name><surname>Rosas</surname><given-names>HD</given-names></name>, <name><surname>Fischl</surname><given-names>B</given-names></name>, <year>2012</year>. <article-title>Within-subject template estimation for unbiased longitudinal image analysis</article-title>. <source>Neuroimage</source>
<volume>61</volume> (<issue>4</issue>), <fpage>1402</fpage>&#x02013;<lpage>1418</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2012.02.084</pub-id><comment>.</comment><pub-id pub-id-type="pmid">22430496</pub-id></mixed-citation></ref><ref id="R79"><mixed-citation publication-type="journal"><name><surname>Rothbaum</surname><given-names>BO</given-names></name>, <name><surname>Kearns</surname><given-names>MC</given-names></name>, <name><surname>Reiser</surname><given-names>E</given-names></name>, <name><surname>Davis</surname><given-names>JS</given-names></name>, <name><surname>Kerley</surname><given-names>KA</given-names></name>, <name><surname>Rothbaum</surname><given-names>AO</given-names></name>, <name><surname>Mercer</surname><given-names>KB</given-names></name>, <name><surname>Price</surname><given-names>M</given-names></name>, <name><surname>Houry</surname><given-names>D</given-names></name>, <name><surname>Ressler</surname><given-names>KJ</given-names></name>, <year>2014</year>. <article-title>Early intervention following trauma may mitigate genetic risk for PTSD in civilians: a pilot prospective emergency department study</article-title>. <source>J. Clin. Psychiatry</source>
<volume>75</volume> (<issue>12</issue>), <fpage>1380</fpage>&#x02013;<lpage>1387</lpage>. doi: <pub-id pub-id-type="doi">10.4088/JCP.13m08715</pub-id><comment>.</comment><pub-id pub-id-type="pmid">25188543</pub-id></mixed-citation></ref><ref id="R80"><mixed-citation publication-type="other"><name><surname>Salminen</surname><given-names>L</given-names></name>, <name><surname>S&#x000e4;mann</surname><given-names>P</given-names></name>, <name><surname>Zheng</surname><given-names>Y</given-names></name>, <name><surname>Dennis</surname><given-names>E</given-names></name>, <name><surname>Clarke</surname><given-names>E</given-names></name>, <name><surname>Jahanshad</surname><given-names>N</given-names></name>, <name><surname>Iglesias</surname><given-names>J</given-names></name>, <name><surname>Whelan</surname><given-names>C</given-names></name>, <name><surname>Bruce</surname><given-names>S</given-names></name>, <name><surname>Hayes</surname><given-names>J</given-names></name>, <name><surname>Seedat</surname><given-names>S</given-names></name>, <name><surname>Averill</surname><given-names>C</given-names></name>, <name><surname>Baugh</surname><given-names>L</given-names></name>, <name><surname>Bomyea</surname><given-names>J</given-names></name>, <name><surname>Bright</surname><given-names>J</given-names></name>, <name><surname>Buckle</surname><given-names>C</given-names></name>, <name><surname>Choi</surname><given-names>K</given-names></name>, <name><surname>Davenport</surname><given-names>N</given-names></name>, <name><surname>Davidson</surname><given-names>R</given-names></name>, <year>2019</year>. <source>Hippocampal Subfield Volumes are Uniquely Affected in PTSD and Depression: International analysis of 31 Cohorts from the PGC-ENIGMA PTSD Working Group</source> doi: <pub-id pub-id-type="doi">10.1101/739094</pub-id><comment>.</comment></mixed-citation></ref><ref id="R81"><mixed-citation publication-type="journal"><name><surname>Schmidt</surname><given-names>MF</given-names></name>, <name><surname>Storrs</surname><given-names>JM</given-names></name>, <name><surname>Freeman</surname><given-names>KB</given-names></name>, <name><surname>Jack</surname><given-names>CR</given-names></name>, <name><surname>Turner</surname><given-names>ST</given-names></name>, <name><surname>Griswold</surname><given-names>ME</given-names></name>, <name><surname>Mosley</surname><given-names>TH</given-names></name>, <year>2018</year>. <article-title>A comparison of manual tracing and FreeSurfer for estimating hippocampal volume over the adult lifespan</article-title>. <source>Hum. Brain Mapp</source>
<volume>39</volume> (<issue>6</issue>), <fpage>2500</fpage>&#x02013;<lpage>2513</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hbm.24017</pub-id><comment>.</comment><pub-id pub-id-type="pmid">29468773</pub-id></mixed-citation></ref><ref id="R82"><mixed-citation publication-type="journal"><name><surname>S&#x000e9;gonne</surname><given-names>F</given-names></name>, <name><surname>Dale</surname><given-names>AM</given-names></name>, <name><surname>Busa</surname><given-names>E</given-names></name>, <name><surname>Glessner</surname><given-names>M</given-names></name>, <name><surname>Salat</surname><given-names>D</given-names></name>, <name><surname>Hahn</surname><given-names>HK</given-names></name>, <name><surname>Fischl</surname><given-names>B</given-names></name>, <year>2004</year>. <article-title>A hybrid approach to the skull stripping problem in MRI</article-title>. <source>Neuroimage</source>
<volume>22</volume> (<issue>3</issue>), <fpage>1060</fpage>&#x02013;<lpage>1075</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2004.03.032</pub-id><comment>.</comment><pub-id pub-id-type="pmid">15219578</pub-id></mixed-citation></ref><ref id="R83"><mixed-citation publication-type="journal"><name><surname>Shin</surname><given-names>LM</given-names></name>, <year>2006</year>. <article-title>Amygdala, medial prefrontal cortex, and hippocampal function in PTSD</article-title>. <source>Ann. N. Y. Acad. Sci</source>
<volume>1071</volume> (<issue>1</issue>), <fpage>67</fpage>&#x02013;<lpage>79</lpage>. doi: <pub-id pub-id-type="doi">10.1196/annals.1364.007</pub-id><comment>.</comment><pub-id pub-id-type="pmid">16891563</pub-id></mixed-citation></ref><ref id="R84"><mixed-citation publication-type="journal"><name><surname>Squire</surname><given-names>LR</given-names></name>, <year>2009</year>. <article-title>The legacy of patient H.M. for neuroscience</article-title>. <source>Neuron</source>
<volume>61</volume> (<issue>1</issue>), <fpage>6</fpage>&#x02013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2008.12.023</pub-id><comment>.</comment><pub-id pub-id-type="pmid">19146808</pub-id></mixed-citation></ref><ref id="R85"><mixed-citation publication-type="journal"><name><surname>Sternbach</surname><given-names>GL</given-names></name>, <year>2000</year>. <article-title>The Glasgow coma scale</article-title>. <source>J. Emerg. Med</source>
<volume>19</volume> (<issue>1</issue>), <fpage>67</fpage>&#x02013;<lpage>71</lpage>. doi: <pub-id pub-id-type="doi">10.1016/s0736-4679(00)00182-7</pub-id>.<pub-id pub-id-type="pmid">10863122</pub-id></mixed-citation></ref><ref id="R86"><mixed-citation publication-type="journal"><name><surname>Tatu</surname><given-names>L</given-names></name>, <name><surname>Vuillier</surname><given-names>F</given-names></name>, <year>2014</year>. <article-title>Structure and vascularization of the human hippocampus</article-title>. In: <source>Frontiers of Neurology and Neuroscience</source>, <volume>34</volume>, pp. <fpage>18</fpage>&#x02013;<lpage>25</lpage>. doi: <pub-id pub-id-type="doi">10.1159/000356440</pub-id><comment> S. KARGER AG.</comment><pub-id pub-id-type="pmid">24777127</pub-id></mixed-citation></ref><ref id="R87"><mixed-citation publication-type="journal"><name><surname>Tural</surname><given-names>&#x000dc;</given-names></name>, <name><surname>Aker</surname><given-names>AT</given-names></name>, <name><surname>&#x000d6;nder</surname><given-names>E</given-names></name>, <name><surname>Sodan</surname><given-names>HT</given-names></name>, <name><surname>&#x000dc;nver</surname><given-names>H</given-names></name>, <name><surname>Akansel</surname><given-names>G</given-names></name>, <year>2018</year>. <article-title>Neurotrophic factors and hippocampal activity in PTSD</article-title>. <source>PLoS ONE</source>
<volume>13</volume> (<issue>5</issue>), <fpage>e0197889</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0197889</pub-id><comment>.</comment><pub-id pub-id-type="pmid">29799860</pub-id></mixed-citation></ref><ref id="R88"><mixed-citation publication-type="journal"><name><surname>van Rooij</surname><given-names>SJH</given-names></name>, <name><surname>Stevens</surname><given-names>JS</given-names></name>, <name><surname>Ely</surname><given-names>TD</given-names></name>, <name><surname>Hinrichs</surname><given-names>R</given-names></name>, <name><surname>Michopoulos</surname><given-names>V</given-names></name>, <name><surname>Winters</surname><given-names>SJ</given-names></name>, <name><surname>Ogbonmwan</surname><given-names>YE</given-names></name>, <name><surname>Shin</surname><given-names>J</given-names></name>, <name><surname>Nugent</surname><given-names>NR</given-names></name>, <name><surname>Hudak</surname><given-names>LA</given-names></name>, <name><surname>Rothbaum</surname><given-names>BO</given-names></name>, <name><surname>Ressler</surname><given-names>KJ</given-names></name>, <name><surname>Jovanovic</surname><given-names>T</given-names></name>, <year>2018</year>. <article-title>The role of the hippocampus in predicting future posttraumatic stress disorder symptoms in recently traumatized civilians</article-title>. <source>Biol. Psychiatry</source>
<volume>84</volume> (<issue>2</issue>), <fpage>106</fpage>&#x02013;<lpage>115</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.biopsych.2017.09.005</pub-id><comment>.</comment><pub-id pub-id-type="pmid">29110899</pub-id></mixed-citation></ref><ref id="R89"><mixed-citation publication-type="journal"><name><surname>Wang</surname><given-names>Z</given-names></name>, <name><surname>Neylan</surname><given-names>TC</given-names></name>, <name><surname>Mueller</surname><given-names>SG</given-names></name>, <name><surname>Lenoci</surname><given-names>M</given-names></name>, <name><surname>Truran</surname><given-names>D</given-names></name>, <name><surname>Marmar</surname><given-names>CR</given-names></name>, <name><surname>Weiner</surname><given-names>MW</given-names></name>, <name><surname>Schuff</surname><given-names>N</given-names></name>, <year>2010</year>. <article-title>Magnetic resonance imaging of hippocampal subfields in posttraumatic stress disorder</article-title>. <source>Arch. Gen. Psychiatry</source>
<volume>67</volume> (<issue>3</issue>), <fpage>296</fpage>. doi: <pub-id pub-id-type="doi">10.1001/archgenpsychiatry.2009.205</pub-id><comment>.</comment><pub-id pub-id-type="pmid">20194830</pub-id></mixed-citation></ref><ref id="R90"><mixed-citation publication-type="journal"><name><surname>Weathers</surname><given-names>FW</given-names></name>, <name><surname>Bovin</surname><given-names>MJ</given-names></name>, <name><surname>Lee</surname><given-names>DJ</given-names></name>, <name><surname>Sloan</surname><given-names>DM</given-names></name>, <name><surname>Schnurr</surname><given-names>PP</given-names></name>, <name><surname>Kaloupek</surname><given-names>DG</given-names></name>, <name><surname>Keane</surname><given-names>TM</given-names></name>, <name><surname>Marx</surname><given-names>BP</given-names></name>, <year>2018</year>. <article-title>The clinician-administered PTSD Scale for DSM-5 (CAPS-5): development and initial psychometric evaluation in military veterans</article-title>. <source>Psychol. Assess</source>
<volume>30</volume> (<issue>3</issue>), <fpage>383</fpage>&#x02013;<lpage>395</lpage>. doi: <pub-id pub-id-type="doi">10.1037/pas0000486</pub-id><comment>.</comment><pub-id pub-id-type="pmid">28493729</pub-id></mixed-citation></ref><ref id="R91"><mixed-citation publication-type="journal"><name><surname>Whelan</surname><given-names>CD</given-names></name>, <name><surname>Hibar</surname><given-names>DP</given-names></name>, <name><surname>van Velzen</surname><given-names>LS</given-names></name>, <name><surname>Zannas</surname><given-names>AS</given-names></name>, <name><surname>Carrillo-Roa</surname><given-names>T</given-names></name>, <name><surname>McMahon</surname><given-names>K</given-names></name>, <name><surname>Prasad</surname><given-names>G</given-names></name>, <name><surname>Kelly</surname><given-names>S</given-names></name>, <name><surname>Faskowitz</surname><given-names>J</given-names></name>, <name><surname>deZubiracay</surname><given-names>G</given-names></name>, <name><surname>Iglesias</surname><given-names>JE</given-names></name>, <name><surname>van Erp</surname><given-names>TGM</given-names></name>, <name><surname>Frodl</surname><given-names>T</given-names></name>, <name><surname>Martin</surname><given-names>NG</given-names></name>, <name><surname>Wright</surname><given-names>MJ</given-names></name>, <name><surname>Jahanshad</surname><given-names>N</given-names></name>, <name><surname>Schmaal</surname><given-names>L</given-names></name>, <name><surname>S&#x000e4;mann</surname><given-names>PG</given-names></name>, <name><surname>Thompson</surname><given-names>PM</given-names></name>, <year>2016</year>. <article-title>Heritability and reliability of automatically segmented human hippocampal formation subregions</article-title>. <source>Neuroimage</source>
<volume>128</volume>, <fpage>125</fpage>&#x02013;<lpage>137</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2015.12.039</pub-id><comment>.</comment><pub-id pub-id-type="pmid">26747746</pub-id></mixed-citation></ref><ref id="R92"><mixed-citation publication-type="journal"><name><surname>Wisse</surname><given-names>LEM</given-names></name>, <name><surname>Kuijf</surname><given-names>HJ</given-names></name>, <name><surname>Honingh</surname><given-names>AM</given-names></name>, <name><surname>Wang</surname><given-names>H</given-names></name>, <name><surname>Pluta</surname><given-names>JB</given-names></name>, <name><surname>Das</surname><given-names>SR</given-names></name>, <name><surname>Wolk</surname><given-names>DA</given-names></name>, <name><surname>Zwanenburg</surname><given-names>JJM</given-names></name>, <name><surname>Yushkevich</surname><given-names>PA</given-names></name>, <name><surname>Geerlings</surname><given-names>MI</given-names></name>, <year>2016</year>. <article-title>Automated hippocampal subfield segmentation at 7T MRI</article-title>. <source>Am. J. Neuroradiol</source>
<volume>37</volume> (<issue>6</issue>), <fpage>1050</fpage>&#x02013;<lpage>1057</lpage>. doi: <pub-id pub-id-type="doi">10.3174/ajnr.A4659</pub-id><comment>.</comment><pub-id pub-id-type="pmid">26846925</pub-id></mixed-citation></ref><ref id="R93"><mixed-citation publication-type="journal"><name><surname>Witter</surname><given-names>MP</given-names></name>, <name><surname>Kleven</surname><given-names>H</given-names></name>, <name><surname>Kobro Flatmoen</surname><given-names>A</given-names></name>, <year>2017</year>. <article-title>Comparative contemplations on the hippocampus</article-title>. <source>Brain Behav. Evol</source>
<volume>90</volume> (<issue>1</issue>), <fpage>15</fpage>&#x02013;<lpage>24</lpage>. doi: <pub-id pub-id-type="doi">10.1159/000475703</pub-id><comment>.</comment><pub-id pub-id-type="pmid">28866678</pub-id></mixed-citation></ref><ref id="R94"><mixed-citation publication-type="journal"><name><surname>Wixted</surname><given-names>JT</given-names></name>, <name><surname>Squire</surname><given-names>LR</given-names></name>, <year>2011</year>. <article-title>The medial temporal lobe and the attributes of memory</article-title>. <source>Trends Cogn. Sci</source>
<volume>15</volume> (<issue>5</issue>), <fpage>210</fpage>&#x02013;<lpage>217</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tics.2011.03.005</pub-id><comment>.</comment><pub-id pub-id-type="pmid">21481629</pub-id></mixed-citation></ref><ref id="R95"><mixed-citation publication-type="journal"><name><surname>Woon</surname><given-names>FL</given-names></name>, <name><surname>Hedges</surname><given-names>DW</given-names></name>, <year>2008</year>. <article-title>Hippocampal and amygdala volumes in children and adults with childhood maltreatment-related posttraumatic stress disorder: a meta-analysis</article-title>. <source>Hippocampus</source>
<volume>18</volume> (<issue>8</issue>), <fpage>729</fpage>&#x02013;<lpage>736</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hipo.20437</pub-id><comment>.</comment><pub-id pub-id-type="pmid">18446827</pub-id></mixed-citation></ref><ref id="R96"><mixed-citation publication-type="journal"><name><surname>Xie</surname><given-names>H</given-names></name>, <name><surname>Claycomb Erwin</surname><given-names>M</given-names></name>, <name><surname>Elhai</surname><given-names>JD</given-names></name>, <name><surname>Wall</surname><given-names>JT</given-names></name>, <name><surname>Tamburrino</surname><given-names>MB</given-names></name>, <name><surname>Brickman</surname><given-names>KR</given-names></name>, <name><surname>Kaminski</surname><given-names>B</given-names></name>, <name><surname>McLean</surname><given-names>SA</given-names></name>, <name><surname>Liberzon</surname><given-names>I</given-names></name>, <name><surname>Wang</surname><given-names>X</given-names></name>, <year>2018</year>. <article-title>Relationship of hippocampal volumes and posttraumatic stress disorder symptoms over early post-trauma periods. Biol. Psychiatry: Cognit</article-title>. <source>Neurosci. Neuroimaging</source>
<volume>3</volume> (<issue>11</issue>), <fpage>968</fpage>&#x02013;<lpage>975</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bpsc.2017.11.010</pub-id><comment>.</comment></mixed-citation></ref><ref id="R97"><mixed-citation publication-type="journal"><name><surname>Yushkevich</surname><given-names>PA</given-names></name>, <name><surname>Amaral</surname><given-names>RSC</given-names></name>, <name><surname>Augustinack</surname><given-names>JC</given-names></name>, <name><surname>Bender</surname><given-names>AR</given-names></name>, <name><surname>Bernstein</surname><given-names>JD</given-names></name>, <name><surname>Boccardi</surname><given-names>M</given-names></name>, <name><surname>Bocchetta</surname><given-names>M</given-names></name>, <name><surname>Burggren</surname><given-names>AC</given-names></name>, <name><surname>Carr</surname><given-names>VA</given-names></name>, <name><surname>Chakravarty</surname><given-names>MM</given-names></name>, <name><surname>Chetelat</surname><given-names>G</given-names></name>, <name><surname>Daugherty</surname><given-names>AM</given-names></name>, <name><surname>Davachi</surname><given-names>L</given-names></name>, <name><surname>Ding</surname><given-names>S-L</given-names></name>, <name><surname>Ekstrom</surname><given-names>A</given-names></name>, <name><surname>Geerlings</surname><given-names>MI</given-names></name>, <name><surname>Hassan</surname><given-names>A</given-names></name>, <name><surname>Huang</surname><given-names>Y</given-names></name>, <name><surname>Iglesias</surname><given-names>E</given-names></name>, <name><surname>Zeineh</surname><given-names>MM</given-names></name>, <year>2015a</year>. <article-title>Quantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: towards a harmonized segmentation protocol</article-title>. <source>Neuroimage</source>
<volume>111</volume>, <fpage>526</fpage>&#x02013;<lpage>541</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2015.01.004</pub-id><comment>.</comment><pub-id pub-id-type="pmid">25596463</pub-id></mixed-citation></ref><ref id="R98"><mixed-citation publication-type="journal"><name><surname>Yushkevich</surname><given-names>PA</given-names></name>, <name><surname>Avants</surname><given-names>BB</given-names></name>, <name><surname>Pluta</surname><given-names>J</given-names></name>, <name><surname>Das</surname><given-names>S</given-names></name>, <name><surname>Minkoff</surname><given-names>D</given-names></name>, <name><surname>Mechanic-Hamilton</surname><given-names>D</given-names></name>, <name><surname>Glynn</surname><given-names>S</given-names></name>, <name><surname>Pickup</surname><given-names>S</given-names></name>, <name><surname>Liu</surname><given-names>W</given-names></name>, <name><surname>Gee</surname><given-names>JC</given-names></name>, <name><surname>Grossman</surname><given-names>M</given-names></name>, <name><surname>Detre</surname><given-names>JA</given-names></name>, <year>2009</year>. <article-title>A high-resolution computational atlas of the human hippocampus from post-mortem magnetic resonance imaging at 9.4 T</article-title>. <source>Neuroimage</source>
<volume>44</volume> (<issue>2</issue>), <fpage>385</fpage>&#x02013;<lpage>398</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2008.08.042</pub-id><comment>.</comment><pub-id pub-id-type="pmid">18840532</pub-id></mixed-citation></ref><ref id="R99"><mixed-citation publication-type="journal"><name><surname>Yushkevich</surname><given-names>PA</given-names></name>, <name><surname>Pluta</surname><given-names>JB</given-names></name>, <name><surname>Wang</surname><given-names>H</given-names></name>, <name><surname>Xie</surname><given-names>L</given-names></name>, <name><surname>Ding</surname><given-names>S-L</given-names></name>, <name><surname>Gertje</surname><given-names>EC</given-names></name>, <name><surname>Mancuso</surname><given-names>L</given-names></name>, <name><surname>Kliot</surname><given-names>D</given-names></name>, <name><surname>Das</surname><given-names>SR</given-names></name>, <name><surname>Wolk</surname><given-names>DA</given-names></name>, <year>2015b</year>. <article-title>Automated volumetry and regional thickness analysis of hippocampal subfields and medial temporal cortical structures in mild cognitive impairment</article-title>. <source>Hum. Brain Mapp</source>
<volume>36</volume> (<issue>1</issue>), <fpage>258</fpage>&#x02013;<lpage>287</lpage>. doi: <pub-id pub-id-type="doi">10.1002/hbm.22627</pub-id><comment>.</comment><pub-id pub-id-type="pmid">25181316</pub-id></mixed-citation></ref><ref id="R100"><mixed-citation publication-type="journal"><name><surname>Zimmerman</surname><given-names>ME</given-names></name>, <name><surname>Ezzati</surname><given-names>A</given-names></name>, <name><surname>Katz</surname><given-names>MJ</given-names></name>, <name><surname>Lipton</surname><given-names>ML</given-names></name>, <name><surname>Brickman</surname><given-names>AM</given-names></name>, <name><surname>Sliwinski</surname><given-names>MJ</given-names></name>, <name><surname>Lipton</surname><given-names>RB</given-names></name>, <year>2016</year>. <article-title>Perceived stress is differentially related to hippocampal subfield volumes among older adults</article-title>. <source>PLoS ONE</source>
<volume>11</volume> (<issue>5</issue>), <fpage>e0154530</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0154530</pub-id><comment>.</comment><pub-id pub-id-type="pmid">27144832</pub-id></mixed-citation></ref></ref-list></back><floats-group><fig id="F1" orientation="portrait" position="float"><label>Fig. 1.</label><caption><p id="P68">A) Hippocampal subfield segmentations from a representative participant. <bold>CA</bold>, cornu ammonis; <bold>GC-DG</bold>, granule cell layer of the dentate gyrus; <bold>HATA</bold>, hippocampal-amygdaloid transitional area. B) Schematic of experimental design including the analytic strategy for Aim 1 (yellow box) and Aim 2 (blue box) as well as the study timeline. Following the participant&#x02019;s Emergency Department (ED) visit and recruitment into the study, MRI structural scans occurred at all study appointments: timepoint one (T1; two-weeks post-trauma), timepoint two (T2; two-weeks post-trauma), and timepoint three (T3; six-months post-trauma). <italic>Note:</italic> * T1 and T2 study appointments occurred on two consecutive days. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)</p></caption><graphic xlink:href="nihms-1722734-f0001"/></fig><fig id="F2" orientation="portrait" position="float"><label>Fig. 2.</label><caption><p id="P69">Percent Volume Differences for all hippocampal subfields across two consecutive scan days (T1 &#x02013; T2). Error bars represent standard error. <bold>Left</bold>, left hemisphere; <bold>Right</bold>, right hemisphere; <bold>CA</bold>, cornu ammonis; <bold>ML</bold>, molecular layer; <bold>GC_ML_DG</bold>, granule cell layer of the dentate gyrus; <bold>HATA</bold>, hippocampal-amygdaloid transition area; <bold>Whole</bold>, whole hippocampal volume. <bold><italic>N</italic> = 175</bold>. <italic>ICC (T1</italic> &#x02013; <italic>T2)</italic>.</p></caption><graphic xlink:href="nihms-1722734-f0002"/></fig><table-wrap id="T1" position="float" orientation="landscape"><label>Table 1</label><caption><p id="P70">Sample Characteristics.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Variable</th><th align="left" valign="middle" rowspan="1" colspan="1"><italic>Percent (%)</italic></th><th align="left" valign="middle" rowspan="1" colspan="1"><italic>Mean</italic></th><th align="left" valign="middle" rowspan="1" colspan="1"><italic>SD</italic></th><th align="left" valign="middle" rowspan="1" colspan="1"><italic>Range</italic></th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Age (years)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">33.1</td><td align="left" valign="middle" rowspan="1" colspan="1">10.8</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Female</td><td align="left" valign="middle" rowspan="1" colspan="1">55%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Race and Ethnicity</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;African American/Black</td><td align="left" valign="middle" rowspan="1" colspan="1">60%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;White</td><td align="left" valign="middle" rowspan="1" colspan="1">26%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;More than one race/Other</td><td align="left" valign="middle" rowspan="1" colspan="1">8%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Unknown/Not reported</td><td align="left" valign="middle" rowspan="1" colspan="1">6%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Education</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Less than high school/GED</td><td align="left" valign="middle" rowspan="1" colspan="1">9%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;High school/GED</td><td align="left" valign="middle" rowspan="1" colspan="1">31%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Some post-secondary education/college</td><td align="left" valign="middle" rowspan="1" colspan="1">25%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Associate degree</td><td align="left" valign="middle" rowspan="1" colspan="1">14%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Bachelor&#x02019;s degree or beyond</td><td align="left" valign="middle" rowspan="1" colspan="1">16%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Not reported</td><td align="left" valign="middle" rowspan="1" colspan="1">5%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Mechanism of Injury</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Motor Vehicle Crash</td><td align="left" valign="middle" rowspan="1" colspan="1">68%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Assault/Altercation</td><td align="left" valign="middle" rowspan="1" colspan="1">13%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Other (Fall, Pedestrian Struck, Crush Injury)</td><td align="left" valign="middle" rowspan="1" colspan="1">19%</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Days Since Injury</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;T1</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">16.2</td><td align="left" valign="middle" rowspan="1" colspan="1">5.1</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;T3</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">183.6</td><td align="left" valign="middle" rowspan="1" colspan="1">12.6</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">CAPS-5 Total Symptom Severity (<italic>N</italic> = 139)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">11.69</td><td align="left" valign="middle" rowspan="1" colspan="1">10.73</td><td align="left" valign="middle" rowspan="1" colspan="1">0&#x02013;63</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">CAPS-5 PTSD Dx (<italic>N</italic> = 139)</td><td align="left" valign="middle" rowspan="1" colspan="1">18% (<italic>N</italic> = 26)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P71"><italic>Note</italic>: Demographic data presented for all participants with T1 Scans (<italic>N</italic> = 197); PTSD symptom severity is presented for subjects who completed T3 scans <italic>and</italic> the structured interview (<italic>N</italic> = 139). <bold>CAPS-5</bold>, Clinician Administered PTSD Scale for DSM-5.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" position="float" orientation="portrait"><label>Table 2</label><caption><p id="P72">Intraclass correlations coefficients for hippocampal subfields (T1 &#x02013; T2) processed through cross-sectional pipelines with 95% confidence intervals.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Subfield</th><th align="left" valign="middle" rowspan="1" colspan="1">Hemi</th><th colspan="3" align="left" valign="middle" style="border-bottom: solid 1px" rowspan="1">Cross-sectional</th></tr><tr><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1">ICC</th><th align="left" valign="middle" rowspan="1" colspan="1">Lower bound</th><th align="left" valign="middle" rowspan="1" colspan="1">Upper bound</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Hippocampal tail</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.91</td><td align="left" valign="middle" rowspan="1" colspan="1">0.88</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td><td align="left" valign="middle" rowspan="1" colspan="1">0.91</td><td align="left" valign="middle" rowspan="1" colspan="1">0.95</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Subiculum</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td><td align="left" valign="middle" rowspan="1" colspan="1">0.92</td><td align="left" valign="middle" rowspan="1" colspan="1">0.96</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.92</td><td align="left" valign="middle" rowspan="1" colspan="1">0.89</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>CA1</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.93</td><td align="left" valign="middle" rowspan="1" colspan="1">0.90</td><td align="left" valign="middle" rowspan="1" colspan="1">0.95</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.89</td><td align="left" valign="middle" rowspan="1" colspan="1">0.85</td><td align="left" valign="middle" rowspan="1" colspan="1">0.92</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Hippocampal fissure</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.85</td><td align="left" valign="middle" rowspan="1" colspan="1">0.80</td><td align="left" valign="middle" rowspan="1" colspan="1">0.89</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.83</td><td align="left" valign="middle" rowspan="1" colspan="1">0.77</td><td align="left" valign="middle" rowspan="1" colspan="1">0.87</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Presubiculum</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td><td align="left" valign="middle" rowspan="1" colspan="1">0.92</td><td align="left" valign="middle" rowspan="1" colspan="1">0.95</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.91</td><td align="left" valign="middle" rowspan="1" colspan="1">0.87</td><td align="left" valign="middle" rowspan="1" colspan="1">0.93</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Parasubiculum</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.88</td><td align="left" valign="middle" rowspan="1" colspan="1">0.84</td><td align="left" valign="middle" rowspan="1" colspan="1">0.91</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.92</td><td align="left" valign="middle" rowspan="1" colspan="1">0.90</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Molecular Layer</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td><td align="left" valign="middle" rowspan="1" colspan="1">0.92</td><td align="left" valign="middle" rowspan="1" colspan="1">0.95</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.90</td><td align="left" valign="middle" rowspan="1" colspan="1">0.86</td><td align="left" valign="middle" rowspan="1" colspan="1">0.92</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>GC-DG</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.93</td><td align="left" valign="middle" rowspan="1" colspan="1">0.90</td><td align="left" valign="middle" rowspan="1" colspan="1">0.95</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.90</td><td align="left" valign="middle" rowspan="1" colspan="1">0.86</td><td align="left" valign="middle" rowspan="1" colspan="1">0.92</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>CA3</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td><td align="left" valign="middle" rowspan="1" colspan="1">0.92</td><td align="left" valign="middle" rowspan="1" colspan="1">0.95</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.91</td><td align="left" valign="middle" rowspan="1" colspan="1">0.88</td><td align="left" valign="middle" rowspan="1" colspan="1">0.93</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>CA4</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.91</td><td align="left" valign="middle" rowspan="1" colspan="1">0.89</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.89</td><td align="left" valign="middle" rowspan="1" colspan="1">0.82</td><td align="left" valign="middle" rowspan="1" colspan="1">0.92</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Fimbria</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.91</td><td align="left" valign="middle" rowspan="1" colspan="1">0.88</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td><td align="left" valign="middle" rowspan="1" colspan="1">0.91</td><td align="left" valign="middle" rowspan="1" colspan="1">0.95</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>HATA</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.89</td><td align="left" valign="middle" rowspan="1" colspan="1">0.85</td><td align="left" valign="middle" rowspan="1" colspan="1">0.91</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.88</td><td align="left" valign="middle" rowspan="1" colspan="1">0.84</td><td align="left" valign="middle" rowspan="1" colspan="1">0.91</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><bold>Whole hippocampus</bold></td><td align="left" valign="middle" rowspan="1" colspan="1">L</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td><td align="left" valign="middle" rowspan="1" colspan="1">0.91</td><td align="left" valign="middle" rowspan="1" colspan="1">0.95</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">R</td><td align="left" valign="middle" rowspan="1" colspan="1">0.90</td><td align="left" valign="middle" rowspan="1" colspan="1">0.86</td><td align="left" valign="middle" rowspan="1" colspan="1">0.92</td></tr></tbody></table><table-wrap-foot><fn id="TFN2"><p id="P73"><bold>Hemi</bold>, hemisphere; <bold>ICC</bold>, intraclass correlation; <bold>L</bold>, left; <bold>R</bold>, right; <bold>CA</bold>, cornu ammonis; <bold>GC-DG</bold>, granule cell layer of dentate gyrus; <bold>HATA</bold>, hippocampal-amygdaloid transitional area, <bold><italic>N</italic> = 175</bold>.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T3" position="float" orientation="landscape"><label>Table 3</label><caption><p id="P74">Hippocampal volumes from <italic>cross-sectional</italic> processing stream (T1) and future PTSD Symptoms (T3).</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Bilateral Subfield Volume (T1)</th><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1">B</th><th align="left" valign="middle" rowspan="1" colspan="1"><italic>&#x000df;</italic></th><th align="left" valign="middle" rowspan="1" colspan="1">T</th><th align="left" valign="middle" rowspan="1" colspan="1"><italic>p</italic></th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Hippocampal Tail</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">7.04</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.48</td><td align="left" valign="middle" rowspan="1" colspan="1">0.634</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Hippocampal Tail</td><td align="left" valign="middle" rowspan="1" colspan="1">0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">0.10</td><td align="left" valign="middle" rowspan="1" colspan="1">1.22</td><td align="left" valign="middle" rowspan="1" colspan="1">0.224</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.07</td><td align="left" valign="middle" rowspan="1" colspan="1">0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">0.86</td><td align="left" valign="middle" rowspan="1" colspan="1">0.389</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.75</td><td align="left" valign="middle" rowspan="1" colspan="1">0.455</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.02</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.19</td><td align="left" valign="middle" rowspan="1" colspan="1">0.851</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Subiculum</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">14.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.97</td><td align="left" valign="middle" rowspan="1" colspan="1">0.334</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Subiculum</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.33</td><td align="left" valign="middle" rowspan="1" colspan="1">0.743</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.31</td><td align="left" valign="middle" rowspan="1" colspan="1">0.10</td><td align="left" valign="middle" rowspan="1" colspan="1">0.96</td><td align="left" valign="middle" rowspan="1" colspan="1">0.337</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.74</td><td align="left" valign="middle" rowspan="1" colspan="1">0.461</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">0.24</td><td align="left" valign="middle" rowspan="1" colspan="1">0.808</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">CA1</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">15.25</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.07</td><td align="left" valign="middle" rowspan="1" colspan="1">0.287</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">CA1</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.08</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.87</td><td align="left" valign="middle" rowspan="1" colspan="1">0.384</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.24</td><td align="left" valign="middle" rowspan="1" colspan="1">0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">0.94</td><td align="left" valign="middle" rowspan="1" colspan="1">0.350</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.05</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.65</td><td align="left" valign="middle" rowspan="1" colspan="1">0.519</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">0.51</td><td align="left" valign="middle" rowspan="1" colspan="1">0.612</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Hippocampal Fissure</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">11.30</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.78</td><td align="left" valign="middle" rowspan="1" colspan="1">0.438</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Hippocampal Fissure</td><td align="left" valign="middle" rowspan="1" colspan="1">0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">0.42</td><td align="left" valign="middle" rowspan="1" colspan="1">0.679</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.42</td><td align="left" valign="middle" rowspan="1" colspan="1">0.10</td><td align="left" valign="middle" rowspan="1" colspan="1">1.01</td><td align="left" valign="middle" rowspan="1" colspan="1">0.316</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.83</td><td align="left" valign="middle" rowspan="1" colspan="1">0.409</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">0.953</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Presubiculum</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">16.30</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.12</td><td align="left" valign="middle" rowspan="1" colspan="1">0.264</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Presubiculum</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.08</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.87</td><td align="left" valign="middle" rowspan="1" colspan="1">0.383</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.10</td><td align="left" valign="middle" rowspan="1" colspan="1">0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">0.87</td><td align="left" valign="middle" rowspan="1" colspan="1">0.384</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.76</td><td align="left" valign="middle" rowspan="1" colspan="1">0.446</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.05</td><td align="left" valign="middle" rowspan="1" colspan="1">0.47</td><td align="left" valign="middle" rowspan="1" colspan="1">0.642</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Parasubiculum</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">15.37</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.09</td><td align="left" valign="middle" rowspan="1" colspan="1">0.278</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Parasubiculum</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.11</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;1.22</td><td align="left" valign="middle" rowspan="1" colspan="1">0.225</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.09</td><td align="left" valign="middle" rowspan="1" colspan="1">0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">0.87</td><td align="left" valign="middle" rowspan="1" colspan="1">0.384</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.70</td><td align="left" valign="middle" rowspan="1" colspan="1">0.484</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.05</td><td align="left" valign="middle" rowspan="1" colspan="1">0.51</td><td align="left" valign="middle" rowspan="1" colspan="1">0.611</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Molecular Layer</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">16.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.11</td><td align="left" valign="middle" rowspan="1" colspan="1">0.270</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Molecular Layer</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.08</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.85</td><td align="left" valign="middle" rowspan="1" colspan="1">0.399</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.29</td><td align="left" valign="middle" rowspan="1" colspan="1">0.10</td><td align="left" valign="middle" rowspan="1" colspan="1">0.96</td><td align="left" valign="middle" rowspan="1" colspan="1">0.339</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.05</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.67</td><td align="left" valign="middle" rowspan="1" colspan="1">0.503</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">0.52</td><td align="left" valign="middle" rowspan="1" colspan="1">0.604</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">GC-DG</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">17.91</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.26</td><td align="left" valign="middle" rowspan="1" colspan="1">0.211</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">GC-DG</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.16</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;1.64</td><td align="left" valign="middle" rowspan="1" colspan="1">0.103</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.10</td><td align="left" valign="middle" rowspan="1" colspan="1">0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">0.88</td><td align="left" valign="middle" rowspan="1" colspan="1">0.378</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.40</td><td align="left" valign="middle" rowspan="1" colspan="1">0.690</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.11</td><td align="left" valign="middle" rowspan="1" colspan="1">0.93</td><td align="left" valign="middle" rowspan="1" colspan="1">0.356</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">CA3</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">15.50</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.10</td><td align="left" valign="middle" rowspan="1" colspan="1">0.272</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">CA3</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.13</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;1.42</td><td align="left" valign="middle" rowspan="1" colspan="1">0.157</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.25</td><td align="left" valign="middle" rowspan="1" colspan="1">0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">0.95</td><td align="left" valign="middle" rowspan="1" colspan="1">0.346</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.42</td><td align="left" valign="middle" rowspan="1" colspan="1">0.675</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">0.68</td><td align="left" valign="middle" rowspan="1" colspan="1">0.500</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">CA4</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">18.27</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.28</td><td align="left" valign="middle" rowspan="1" colspan="1">0.201</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">CA4</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.17</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;1.80</td><td align="left" valign="middle" rowspan="1" colspan="1">0.074</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.17</td><td align="left" valign="middle" rowspan="1" colspan="1">0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">0.91</td><td align="left" valign="middle" rowspan="1" colspan="1">0.363</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.37</td><td align="left" valign="middle" rowspan="1" colspan="1">0.710</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.11</td><td align="left" valign="middle" rowspan="1" colspan="1">0.97</td><td align="left" valign="middle" rowspan="1" colspan="1">0.335</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Fimbria</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">13.10</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.93</td><td align="left" valign="middle" rowspan="1" colspan="1">0.352</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Fimbria</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.02</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.45</td><td align="left" valign="middle" rowspan="1" colspan="1">0.650</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.17</td><td align="left" valign="middle" rowspan="1" colspan="1">0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">0.89</td><td align="left" valign="middle" rowspan="1" colspan="1">0.373</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.80</td><td align="left" valign="middle" rowspan="1" colspan="1">0.424</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">0.25</td><td align="left" valign="middle" rowspan="1" colspan="1">0.799</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">HATA</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">13.94</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.99</td><td align="left" valign="middle" rowspan="1" colspan="1">0.322</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">HATA</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.96</td><td align="left" valign="middle" rowspan="1" colspan="1">0.337</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.34</td><td align="left" valign="middle" rowspan="1" colspan="1">0.10</td><td align="left" valign="middle" rowspan="1" colspan="1">0.98</td><td align="left" valign="middle" rowspan="1" colspan="1">0.329</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.36</td><td align="left" valign="middle" rowspan="1" colspan="1">0.718</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">0.53</td><td align="left" valign="middle" rowspan="1" colspan="1">0.594</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Whole hippocampus</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">15.82</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.08</td><td align="left" valign="middle" rowspan="1" colspan="1">0.282</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Whole hippocampus</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.68</td><td align="left" valign="middle" rowspan="1" colspan="1">0.496</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">2.29</td><td align="left" valign="middle" rowspan="1" colspan="1">0.10</td><td align="left" valign="middle" rowspan="1" colspan="1">0.96</td><td align="left" valign="middle" rowspan="1" colspan="1">0.341</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.68</td><td align="left" valign="middle" rowspan="1" colspan="1">0.497</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.05</td><td align="left" valign="middle" rowspan="1" colspan="1">0.44</td><td align="left" valign="middle" rowspan="1" colspan="1">0.659</td></tr></tbody></table><table-wrap-foot><fn id="TFN3"><p id="P75">Note.</p></fn><fn id="TFN4"><label>*</label><p id="P76"><bold><italic>p</italic> &#x0003c; .05 uncorrected, CA</bold>, cornu ammonis; <bold>GC-DG</bold>, granule cell layer of dentate gyrus; <bold>HATA</bold>, hippocampal-amygdaloid transitional area. <bold><italic>N</italic> = 167</bold>.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T4" position="float" orientation="landscape"><label>Table 4</label><caption><p id="P77">Hippocampal volumes from <italic>cross-sectional</italic> processing stream (T3) associated with current PTSD Symptoms (T3).</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Bilateral Subfield Volume (T3)</th><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1">B</th><th align="left" valign="middle" rowspan="1" colspan="1"><italic>&#x000df;</italic></th><th align="left" valign="middle" rowspan="1" colspan="1">T</th><th align="left" valign="middle" rowspan="1" colspan="1"><italic>p</italic></th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Hippocampal Tail</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">10.66</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.81</td><td align="left" valign="middle" rowspan="1" colspan="1">0.420</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Hippocampal Tail</td><td align="left" valign="middle" rowspan="1" colspan="1">0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">0.20</td><td align="left" valign="middle" rowspan="1" colspan="1">2.15</td><td align="left" valign="middle" rowspan="1" colspan="1"><bold>0.034</bold></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.55</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.24</td><td align="left" valign="middle" rowspan="1" colspan="1">0.811</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.05</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.05</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.55</td><td align="left" valign="middle" rowspan="1" colspan="1">0.587</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.12</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;1.05</td><td align="left" valign="middle" rowspan="1" colspan="1">0.294</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Subiculum</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">17.58</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.32</td><td align="left" valign="middle" rowspan="1" colspan="1">0.188</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Subiculum</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.41</td><td align="left" valign="middle" rowspan="1" colspan="1">0.685</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.02</td><td align="left" valign="middle" rowspan="1" colspan="1">0.986</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.41</td><td align="left" valign="middle" rowspan="1" colspan="1">0.684</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.05</td><td align="left" valign="middle" rowspan="1" colspan="1">0.959</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">CA1</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">17.92</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.36</td><td align="left" valign="middle" rowspan="1" colspan="1">0.177</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">CA1</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.65</td><td align="left" valign="middle" rowspan="1" colspan="1">0.514</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.08</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">0.971</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.32</td><td align="left" valign="middle" rowspan="1" colspan="1">0.749</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">0.925</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Hippocampal Fissure</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">17.75</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.33</td><td align="left" valign="middle" rowspan="1" colspan="1">0.187</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Hippocampal Fissure</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.39</td><td align="left" valign="middle" rowspan="1" colspan="1">0.699</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.13</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">0.956</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.39</td><td align="left" valign="middle" rowspan="1" colspan="1">0.694</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.02</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.21</td><td align="left" valign="middle" rowspan="1" colspan="1">0.831</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Presubiculum</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">18.47</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.39</td><td align="left" valign="middle" rowspan="1" colspan="1">0.168</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Presubiculum</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.08</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.68</td><td align="left" valign="middle" rowspan="1" colspan="1">0.495</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.15</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">0.949</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.41</td><td align="left" valign="middle" rowspan="1" colspan="1">0.682</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.02</td><td align="left" valign="middle" rowspan="1" colspan="1">0.12</td><td align="left" valign="middle" rowspan="1" colspan="1">0.907</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Parasubiculum</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">17.93</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.37</td><td align="left" valign="middle" rowspan="1" colspan="1">0.173</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Parasubiculum</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.12</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;1.15</td><td align="left" valign="middle" rowspan="1" colspan="1">0.250</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.17</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.07</td><td align="left" valign="middle" rowspan="1" colspan="1">0.941</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.35</td><td align="left" valign="middle" rowspan="1" colspan="1">0.725</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">0.23</td><td align="left" valign="middle" rowspan="1" colspan="1">0.819</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Molecular Layer</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">18.32</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.38</td><td align="left" valign="middle" rowspan="1" colspan="1">0.168</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Molecular Layer</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.80</td><td align="left" valign="middle" rowspan="1" colspan="1">0.427</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.998</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.32</td><td align="left" valign="middle" rowspan="1" colspan="1">0.746</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">0.23</td><td align="left" valign="middle" rowspan="1" colspan="1">0.820</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">GC-DG</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">18.65</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.42</td><td align="left" valign="middle" rowspan="1" colspan="1">0.157</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">GC-DG</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.17</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;1.37</td><td align="left" valign="middle" rowspan="1" colspan="1">0.172</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.19</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.08</td><td align="left" valign="middle" rowspan="1" colspan="1">0.934</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.12</td><td align="left" valign="middle" rowspan="1" colspan="1">0.903</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.08</td><td align="left" valign="middle" rowspan="1" colspan="1">0.59</td><td align="left" valign="middle" rowspan="1" colspan="1">0.556</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">CA3</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">17.81</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.37</td><td align="left" valign="middle" rowspan="1" colspan="1">0.174</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">CA3</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.15</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;1.44</td><td align="left" valign="middle" rowspan="1" colspan="1">0.153</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">0.980</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.11</td><td align="left" valign="middle" rowspan="1" colspan="1">0.913</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.05</td><td align="left" valign="middle" rowspan="1" colspan="1">0.43</td><td align="left" valign="middle" rowspan="1" colspan="1">0.666</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">CA4</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">18.41</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.41</td><td align="left" valign="middle" rowspan="1" colspan="1">0.161</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">CA4</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.16</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;1.40</td><td align="left" valign="middle" rowspan="1" colspan="1">0.165</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">0.969</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.14</td><td align="left" valign="middle" rowspan="1" colspan="1">0.892</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.08</td><td align="left" valign="middle" rowspan="1" colspan="1">0.57</td><td align="left" valign="middle" rowspan="1" colspan="1">0.571</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Fimbria</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">17.43</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.32</td><td align="left" valign="middle" rowspan="1" colspan="1">0.188</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Fimbria</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.02</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.05</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.49</td><td align="left" valign="middle" rowspan="1" colspan="1">0.626</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.18</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.08</td><td align="left" valign="middle" rowspan="1" colspan="1">0.938</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.50</td><td align="left" valign="middle" rowspan="1" colspan="1">0.616</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.02</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.14</td><td align="left" valign="middle" rowspan="1" colspan="1">0.885</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">HATA</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">16.81</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.29</td><td align="left" valign="middle" rowspan="1" colspan="1">0.200</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">HATA</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.06</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.09</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.81</td><td align="left" valign="middle" rowspan="1" colspan="1">0.418</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">0.989</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.12</td><td align="left" valign="middle" rowspan="1" colspan="1">0.902</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">0.02</td><td align="left" valign="middle" rowspan="1" colspan="1">0.16</td><td align="left" valign="middle" rowspan="1" colspan="1">0.871</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Whole hippocampus</td><td align="left" valign="middle" rowspan="1" colspan="1">(Intercept)</td><td align="left" valign="middle" rowspan="1" colspan="1">17.38</td><td align="left" valign="middle" rowspan="1" colspan="1">0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">1.30</td><td align="left" valign="middle" rowspan="1" colspan="1">0.195</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Whole hippocampus</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.03</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.28</td><td align="left" valign="middle" rowspan="1" colspan="1">0.783</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Sex</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">0.995</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.04</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.41</td><td align="left" valign="middle" rowspan="1" colspan="1">0.680</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Total brain volume</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.00</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.01</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02212;0.08</td><td align="left" valign="middle" rowspan="1" colspan="1">0.936</td></tr></tbody></table><table-wrap-foot><fn id="TFN5"><p id="P78">Note.</p></fn><fn id="TFN6"><label>*</label><p id="P79"><bold><italic>p</italic> &#x0003c; .01 uncorrected, CA</bold>, cornu ammonis; <bold>GC-DG</bold>, granule cell layer of dentate gyrus; <bold>HATA</bold>, hippocampal-amygdaloid transitional area. <bold><italic>N</italic> = 139</bold>.</p></fn></table-wrap-foot></table-wrap></floats-group></article>