Salience network-based classification and prediction of symptom severity in children with autism

JAMA Psychiatry

Volumn 70, Issue 8, 2013, Pages 869-879

  Uddin, Lucina Q ^a   Supekar, Kaustubh ^a   Lynch, Charles J ^a   Khouzam, Amirah ^a   Phillips, Jennifer ^a   Feinstein, Carl ^a   Ryali, Srikanth ^a   Menon, Vinod ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANGULAR GYRUS; ANTERIOR CINGULATE; ARTICLE; AUTISM; AUTISM DIAGNOSTIC INTERVIEW REVISED; AUTISM DIAGNOSTIC OBSERVATION SCHEDULE; BOLD SIGNAL; CASE CONTROL STUDY; CHILD; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; COMPULSION; CONTROLLED STUDY; DEFAULT MODE NETWORK; DIAGNOSTIC ACCURACY; DISEASE SEVERITY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INSULA; INTELLIGENCE QUOTIENT; INTERPERSONAL COMMUNICATION; LARGE SCALE BRAIN NETWORK; MALE; NERVE CELL NETWORK; NEUROIMAGING; OCCIPITAL CORTEX; OUTCOME ASSESSMENT; POSTCENTRAL GYRUS; POSTERIOR CINGULATE; POSTERIOR INSULA; PRECUNEUS; PREDICTION; SCHOOL CHILD; SENSITIVITY AND SPECIFICITY; SOCIAL INTERACTION; SUPERIOR FRONTAL GYRUS; THALAMUS;

EID: 84880346529     PISSN: 2168622X     EISSN: None     Source Type: Journal    
DOI: 10.1001/jamapsychiatry.2013.104     Document Type: Article

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