Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity

NeuroImage

Volumn 134, Issue , 2016, Pages 645-657

  Rashid, Barnaly ^a,b   Arbabshirani, Mohammad R ^a,e   Damaraju, Eswar ^a,b   Cetin, Mustafa S ^a,b   Miller, Robyn ^b   Pearlson, Godfrey D ^c,d   Calhoun, Vince D ^a,b,d  

^a MIND RESEARCH NETWORK   (United States)

^b MSC01 1070   (United States)

^c INSTITUTE OF LIVING   (United States)

^d YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e GEISINGER HEALTH SYSTEM   (United States)

Author keywords

Bipolar; Classification; Dynamic functional network connectivity; FMRI; Resting state; Schizophrenia

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; BIPOLAR DISORDER; CONNECTOME; CONTROLLED STUDY; DYNAMIC FUNCTIONAL NETWORK CONNECTIVITY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE PROCESSING; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; PREDICTIVE VALUE; PRIORITY JOURNAL; RESTING STATE NETWORK; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; CLASSIFICATION; DIAGNOSTIC IMAGING; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PROCEDURES;

ADULT; ALGORITHMS; BIPOLAR DISORDER; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; NEURAL PATHWAYS; PATTERN RECOGNITION, AUTOMATED; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY;

EID: 84969834587     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.04.051     Document Type: Article

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