Classification of schizophrenia patients based on resting-state functional network connectivity

Frontiers in Neuroscience

Volumn , Issue 7 JUL, 2013, Pages

  Arbabshirani, Mohammad R ^a,b   Kiehl, Kent A ^a,c   Pearlson, Godfrey D ^d,e   Calhoun, Vince D ^a,b,e  

^a MIND RESEARCH NETWORK   (United States)

^b UNIVERSITY OF NEW MEXICO   (United States)

^c UNIVERSITY OF NEW MEXICO SCHOOL OF MEDICINE   (United States)

^d INSTITUTE OF LIVING   (United States)

^e YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Classification; Functional network connectivity; Independent component analysis (ICA); Resting state fMRI; Schizophrenia

Indexed keywords

ADULT; ARTICLE; AUDITORY NETWORK; BEHAVIOR; CLINICAL ARTICLE; CONTROLLED STUDY; DEFAULT MODE NETWORK; DIFFUSION TENSOR IMAGING; DISEASE CLASSIFICATION; FEMALE; FISHER EXACT TEST; FRONTALPARIETAL NETWORK; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; K NEAREST NEIGHBOR; MALE; MOTOR NETWORK; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTIVE VALUE; RESTING STATE NETWORK; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; TASK PERFORMANCE; VISUAL NETWORK;

EID: 84898713756     PISSN: 16624548     EISSN: 1662453X     Source Type: Journal    
DOI: 10.3389/fnins.2013.00133     Document Type: Article

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