Association of resting-state network dysfunction with their dynamics of inter-network interactions in depression

Journal of Affective Disorders

Volumn 174, Issue , 2015, Pages 527-534

  Wei, Maobin ^a   Qin, Jiaolong ^a   Yan, Rui ^b   Bi, Kun ^a   Liu, Chu ^a   Yao, Zhijian ^b,c   Lu, Qing ^a,d  

^a Southeast University   (China)

^b NANJING MEDICAL UNIVERSITY   (China)

^c NANJING UNIVERSITY   (China)

^d SOUTHEAST UNIVERSITY   (China)

Author keywords

Depression; Dynamic; Functional magnetic resonance imaging; Granger causality; Hurst exponent; Resting state networks

Indexed keywords

ADULT; ANGULAR GYRUS; ANTERIOR CINGULATE; ANTERIOR INSULA; ARTICLE; BODY MOVEMENT; BRAIN FUNCTION; CLINICAL ARTICLE; CONTROLLED STUDY; DECISION MAKING; DEFAULT MODE NETWORK; DEPRESSION; DISEASE ASSOCIATION; DSM-IV; EXECUTIVE FUNCTION; FEMALE; FRONTAL CORTEX; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEAD MOVEMENT; HUMAN; INDEPENDENT COMPONENT ANALYSIS; MALE; PARIETAL CORTEX; PATHOPHYSIOLOGY; PRECUNEUS; PREDICTION; RESTING STATE NETWORK; TIME SERIES ANALYSIS; CASE CONTROL STUDY; ELECTROENCEPHALOGRAM; IMAGE PROCESSING; MIDDLE AGED; NERVE TRACT; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REST; YOUNG ADULT;

ADULT; BRAIN WAVES; CASE-CONTROL STUDIES; DEPRESSION; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEURAL PATHWAYS; NONLINEAR DYNAMICS; REST; YOUNG ADULT;

EID: 84920119171     PISSN: 01650327     EISSN: 15732517     Source Type: Journal    
DOI: 10.1016/j.jad.2014.12.020     Document Type: Article

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