An unbiased Bayesian approach to functional connectomics implicates social-communication networks in autism

NeuroImage: Clinical

Volumn 8, Issue , 2015, Pages 356-366

  Venkataraman, Archana ^a   Duncan, James S ^a,b   Yang, Daniel Y J ^c   Pelphrey, Kevin A ^c  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Yale University   (United States)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Autism; Bayesian analysis; Brain networks; Functional MRI

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; AUTISM; BAYES THEOREM; BRAIN FUNCTION; BRAIN REGION; CHILD; CINGULATE GYRUS; COMPREHENSION; CONNECTOME; CONTROLLED STUDY; DATA BASE; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; LANGUAGE ABILITY; MAJOR CLINICAL STUDY; MALE; MIDDLE TEMPORAL GYRUS; NERVE CELL NETWORK; PRIORITY JOURNAL; RESTING STATE NETWORK; RIGHT POSTERIOR SUPERIOR TEMPORAL SULCUS; SCHOOL CHILD; SOCIAL COGNITION; SOCIAL DISABILITY; SUPERIOR TEMPORAL SULCUS; SUPRAMARGINAL GYRUS; TASK POSITIVE NETWORK; TEMPORAL LOBE; TEMPOROPARIETAL JUNCTION; BRAIN CORTEX; INTERPERSONAL COMMUNICATION; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PERCEPTION; PROCEDURES;

ADOLESCENT; AUTISM SPECTRUM DISORDER; BAYES THEOREM; CEREBRAL CORTEX; CHILD; COMMUNICATION; CONNECTOME; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; NERVE NET; SOCIAL PERCEPTION;

EID: 84930640796     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2015.04.021     Document Type: Article

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