An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques

NeuroImage

Volumn 46, Issue 1, 2009, Pages 73-86

  Sui, Jing ^a   Adali, Tülay ^b   Pearlson, Godfrey D ^c,d   Calhoun, Vince D ^a,c,d,e  

^a MIND RESEARCH NETWORK   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^c INSTITUTE OF LIVING   (United States)

^d YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e University of New Mexico   (United States)

Author keywords

CC ICA; fMRI; Group difference; Independent component analysis (ICA); Optimal features; Principal component analysis (PCA); Schizophrenia

Indexed keywords

BIOLOGICAL MARKER;

ACCURACY; ADULT; ARTICLE; ARTIFACT; CLINICAL ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INDEPENDENT COMPONENT ANALYSIS; MALE; NEUROIMAGING; OCCIPITAL LOBE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SCHIZOPHRENIA; SENSITIVITY ANALYSIS; SENSORIMOTOR FUNCTION; TASK PERFORMANCE; TECHNIQUE; TEMPORAL LOBE; WORKING MEMORY;

ARTIFACTS; BRAIN; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY;

EID: 62749184860     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.01.026     Document Type: Article

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