Divide and conquer: Sub-grouping of ASD improves ASD detection based on brain morphometry

PLoS ONE

Volumn 11, Issue 4, 2016, Pages

  Katuwal, Gajendra J ^a,b   Baum, Stefi A ^b,c   Cahill, Nathan D ^b   Michael, Andrew M ^a,b  

^a GEISINGER HEALTH SYSTEM   (United States)

^b ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

^c UNIVERSITY OF MANITOBA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER;

ADOLESCENT; ADULT; AGE; ARTICLE; AUTISM; BRAIN MORPHOMETRY; BRAIN REGION; CONTROLLED STUDY; DISEASE CLASSIFICATION; DISEASE SEVERITY; EARLY DIAGNOSIS; FEMALE; HUMAN; INTELLIGENCE QUOTIENT; MAJOR CLINICAL STUDY; MALE; MORPHOMETRICS; NEUROANATOMY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATIENT MONITORING; AUTISM SPECTRUM DISORDER; BRAIN; CASE CONTROL STUDY; CHILD; CLASSIFICATION; INTELLIGENCE; LANGUAGE; MIDDLE AGED; MULTIVARIATE ANALYSIS; NEUROIMAGING; PATHOLOGY; YOUNG ADULT;

ADOLESCENT; ADULT; AGE FACTORS; AUTISM SPECTRUM DISORDER; BRAIN; CASE-CONTROL STUDIES; CHILD; FEMALE; HUMANS; INTELLIGENCE; LANGUAGE; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; NEUROIMAGING; YOUNG ADULT;

EID: 84963743094     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0153331     Document Type: Article

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