Statistical Improvements in Functional Magnetic Resonance Imaging Analyses Produced by Censoring High-Motion Data Points

Details

• Alternative Title:
  Hum Brain Mapp
• Personal Author:
  Siegel, Joshua S. ; Power, Jonathan D. ; Dubis, Joseph W. ; Vogel, Alecia C. ; Church, Jessica A. ; Schlaggar, Bradley L. ; Petersen, Steven E.
• Description:
  Subject motion degrades the quality of task functional magnetic resonance imaging (fMRI) data. Here, we test two classes of methods to counteract the effects of motion in task fMRI data: (1) a variety of motion regressions and (2) motion censoring ("motion scrubbing"). In motion regression, various regressors based on realignment estimates were included as nuisance regressors in general linear model (GLM) estimation. In motion censoring, volumes in which head motion exceeded a threshold were withheld from GLM estimation. The effects of each method were explored in several task fMRI data sets and compared using indicators of data quality and signal-to-noise ratio. Motion censoring decreased variance in parameter estimates within- and across-subjects, reduced residual error in GLM estimation, and increased the magnitude of statistical effects. Motion censoring performed better than all forms of motion regression and also performed well across a variety of parameter spaces, in GLMs with assumed or unassumed response shapes. We conclude that motion censoring improves the quality of task fMRI data and can be a valuable processing step in studies involving populations with even mild amounts of head movement.
• Subjects:
  Adolescent Adult Algorithms Article Brain Child Child Development Cohort Studies Data Quality Female FMRI General Linear Model GLM Head Movement Head Movements Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Motion Noise Oxygen Regression Analysis Scrubbing Sensory Thresholds Task Young Adult

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• Source:
  Hum Brain Mapp. 2013; 35(5):1981-1996.
• Pubmed ID:
  23861343
• Pubmed Central ID:
  PMC3895106
• Document Type:
  Journal Article
• Funding:
  F30 MH094032/MH/NIMH NIH HHS/United States ; F30 MH940322/MH/NIMH NIH HHS/United States ; R01 HD057076/HD/NICHD NIH HHS/United States ; R01 ND057076/ND/ONDIEH CDC HHS/United States ; R01 NS046424/NS/NINDS NIH HHS/United States ; R01 NS26424/NS/NINDS NIH HHS/United States ; R21 NS061144/NS/NINDS NIH HHS/United States ; R21 NS61144/NS/NINDS NIH HHS/United States ; T32 GM007200/GM/NIGMS NIH HHS/United States
• Volume:
  35
• Issue:
  5
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:cff882aebf1df6e77fc50141a25f040cfc7ef4c47a6fef6e849248179f8b6ca9
• Download URL:
  https://stacks.cdc.gov/view/cdc/29831/cdc_29831_DS1.pdf
• File Type:
  [PDF - 2.09 MB ]