Multisubject independent component analysis of fMRI: A decade of intrinsic networks, default mode, and neurodiagnostic discovery

IEEE Reviews in Biomedical Engineering

Volumn 5, Issue , 2012, Pages 60-73

  Calhoun, Vince D ^a,b   Adali, Tülay ^c  

^a MIND RESEARCH NETWORK   (United States)

^b University of New Mexico   (United States)

^c UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Brain; complex valued; fMRI; independent component analysis (ICA); phase

Indexed keywords

ANALYTIC APPROACH; BRAIN CONNECTIVITY; BRAIN FUNCTIONS; BRAIN NETWORKS; COMPLEX-VALUED; DATA-DRIVEN APPROACH; FMRI; FMRI DATA; FUNCTIONAL CONNECTIVITY; PHASE; TEMPORAL CORRELATIONS;

BRAIN; DIGITAL STORAGE; INDEPENDENT COMPONENT ANALYSIS;

FUNCTIONAL NEUROIMAGING;

ALGORITHM; BIOLOGICAL MODEL; BRAIN; BRAIN DISEASE; HUMAN; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PHYSIOLOGY; REVIEW; SCHIZOPHRENIA; STATISTICAL MODEL;

ALGORITHMS; BRAIN; BRAIN DISEASES; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; SCHIZOPHRENIA;

EID: 84870993474     PISSN: 19373333     EISSN: None     Source Type: Journal    
DOI: 10.1109/RBME.2012.2211076     Document Type: Article

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