Predicting depression based on dynamic regional connectivity: A windowed Granger causality analysis of MEG recordings

Brain Research

Volumn 1535, Issue , 2013, Pages 52-60

  Lu, Qing ^a   Bi, Kun ^a   Liu, Chu ^a   Luo, Guoping ^a   Tang, Hao ^b   Yao, Zhijian ^b,c  

^a SOUTHEAST UNIVERSITY   (China)

^b NANJING MEDICAL UNIVERSITY   (China)

^c MEDICAL SCHOOL OF NANJING UNIVERSITY   (China)

Author keywords

Depression; Granger causality; Magnetoencephalography; Pattern classification; Sad face

Indexed keywords

ADULT; AMYGDALOID NUCLEUS; ANTERIOR CINGULATE; ARTICLE; BRAIN MAPPING; BRIEF PSYCHIATRIC RATING SCALE; CLINICAL ARTICLE; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; DEPRESSION; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DSM-IV; FACIAL EXPRESSION; FEMALE; HAMILTON SCALE; HUMAN; INFERIOR FRONTAL GYRUS; MAGNETOENCEPHALOGRAPHY; MALE; PREDICTION; PRIORITY JOURNAL; RECOGNITION; RECORDER; SENSITIVITY AND SPECIFICITY; STIMULUS RESPONSE; SUPPORT VECTOR MACHINE; TASK PERFORMANCE; VISUAL CORTEX;

DEPRESSION; GRANGER CAUSALITY; MAGNETOENCEPHALOGRAPHY; PATTERN CLASSIFICATION; SAD FACE;

ADULT; BRAIN; DEPRESSION; DEPRESSIVE DISORDER; EMOTIONS; HUMANS; MAGNETOENCEPHALOGRAPHY; MALE; NERVE NET;

EID: 84884699322     PISSN: 00068993     EISSN: 18726240     Source Type: Journal    
DOI: 10.1016/j.brainres.2013.08.033     Document Type: Article

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