Re-conceptualizing ASD Within a Dimensional Framework: Positive, Negative, and Cognitive Feature Clusters

Foss-Feig, Jennifer H.; McPartland, James C.; Anticevic, Alan; Wolf, Julie

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Re-conceptualizing ASD Within a Dimensional Framework: Positive, Negative, and Cognitive Feature Clusters

Published Date:

Jan 2016

Source:

J Autism Dev Disord. 46(1):342-351

Language:

English

[PDF-93.89 KB]

Details:

Personal Authors:

Foss-Feig, Jennifer H. ; McPartland, James C. ; Anticevic, Alan ; Wolf, Julie ;

Keywords:

[+]

Pubmed ID:

26267330

Pubmed Central ID:

PMC5328688

Description:

Introduction of the National Institute of Mental Health's Research Domain Criteria and revision of diagnostic classification for Autism Spectrum Disorder in the latest diagnostic manual call for a new way of conceptualizing heterogeneous ASD features. We propose a novel conceptualization of ASD, borrowing from the schizophrenia literature in clustering ASD features along positive, negative, and cognitive dimensions. We argue that this dimensional conceptualization can offer improved ability to classify, diagnose, and treat, to apply and predict response to treatment, and to explore underlying neural and genetic alterations that may contribute to particular feature clusters. We suggest the proposed conceptualization can advance the field in a manner that may prove clinically and biologically useful for understanding and addressing heterogeneity within ASD.

Document Type:

Journal Article

Collection(s):

CDC Public Access

Funding:

R01 MH107426/MH/NIMH NIH HHS/United States
R01 MH100173-02S1/MH/NIMH NIH HHS/United States
DP5 OD012109/OD/NIH HHS/United States
R01 MH107426-01/MH/NIMH NIH HHS/United States
R01 MH100173/MH/NIMH NIH HHS/United States
DP50D012109-02/DP/NCCDPHP CDC HHS/United States
R01MH100173/MH/NIMH NIH HHS/United States

Supporting Files:

nihms849484.nxml

text/xml

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