Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity-A multi-center study

Progress in Neuro-Psychopharmacology and Biological Psychiatry

Volumn 64, Issue , 2016, Pages 1-9

  Chen, Heng ^a   Duan, Xujun ^a   Liu, Feng ^a   Lu, Fengmei ^a   Ma, Xujing ^a   Zhang, Youxue ^a   Uddin, Lucina Q ^b   Chen, Huafu ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b Department of Biology   (United States)

Author keywords

Autism spectrum disorder; Functional connectivity; Multivariate pattern analysis; Slow 4

Indexed keywords

ACCURACY; ADOLESCENT; ARTICLE; AUTISM; CHILD; CINGULO OPERCULAR NETWORK; CLINICAL FEATURE; CONNECTOME; CONTROLLED STUDY; DEFAULT MODE NETWORK; DISEASE CLASSIFICATION; DISEASE SEVERITY; FEMALE; FRONTOPARIETAL CORTEX; HUMAN; MAJOR CLINICAL STUDY; MALE; NEUROIMAGING; RESTING STATE NETWORK; SUPPORT VECTOR MACHINE; THALAMUS; BRAIN; BRAIN MAPPING; CLASSIFICATION; CLINICAL TRIAL; EVALUATION STUDY; FACTUAL DATABASE; HEAD MOVEMENT; MULTICENTER STUDY; MULTIVARIATE ANALYSIS; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PROCEDURES; REST; SEVERITY OF ILLNESS INDEX; STATISTICAL ANALYSIS;

ADOLESCENT; AUTISM SPECTRUM DISORDER; BRAIN; BRAIN MAPPING; CHILD; DATA INTERPRETATION, STATISTICAL; DATABASES, FACTUAL; FEMALE; HEAD MOVEMENTS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MULTIVARIATE ANALYSIS; NEURAL PATHWAYS; REST; SEVERITY OF ILLNESS INDEX; SUPPORT VECTOR MACHINE;

EID: 84936804387     PISSN: 02785846     EISSN: 18784216     Source Type: Journal    
DOI: 10.1016/j.pnpbp.2015.06.014     Document Type: Article

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