Automatic identification of functional clusters in fMRI data using spatial dependence

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 12 PART 1, 2011, Pages 3406-3417

  Ma, Sai ^a   Correa, Nicolle M ^a   Li, Xi Lin ^a,b   Eichele, Tom ^c   Calhoun, Vince D ^d,e   Adali, Tlay ^a  

^a University of Marylandw Baltimore County   (United States)

^b Fortemedia Inc   (United States)

^c UNIVERSITY OF BERGEN   (Norway)

^d University of New Mexico   (United States)

^e MIND RESEARCH NETWORK   (United States)

Author keywords

Functional magnetic resonance imaging (fMRI); independent component analysis (ICA); multidimensional independent component analysis (MICA); spatial dependence

Indexed keywords

AUTOMATIC IDENTIFICATION; BRAIN NETWORKS; CEREBRO SPINAL FLUIDS; CLUSTER MEMBERSHIPS; CONNECTIVITY STRUCTURES; DATA SETS; FMRI DATA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HIGH-ORDER; HIGHER ORDER; INDEPENDENT COMPONENTS; MODEL ORDER; MULTIDIMENSIONAL INDEPENDENT COMPONENT ANALYSIS (MICA); SPATIAL DEPENDENCE; SPATIAL MAPS; STATISTICAL HYPOTHESIS TESTING; TEMPORAL CORRELATIONS; TEMPORAL INFORMATION; TIME COURSE;

AUTOMATION; COMPUTER SIMULATION; INDEPENDENT COMPONENT ANALYSIS; MICA; PHYSIOLOGICAL MODELS; STATISTICAL TESTS; TEACHING;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; BRAIN REGION; CEREBROSPINAL FLUID; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INDEPENDENT COMPONENT ANALYSIS; TIME;

ADULT; ALGORITHMS; BRAIN; CLUSTER ANALYSIS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, STATISTICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 82155191306     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2167149     Document Type: Article

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