Application of independent component analysis with adaptive density model to complex-valued fMRI data

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 10 PART 1, 2011, Pages 2794-2803

  Li, Hualiang ^a   Correa, Nicolle M ^a   Rodriguez, Pedro A ^a   Calhoun, Vince D ^a   Adali, Tlay ^b,c  

^a University of Marylandw Baltimore County   (United States)

^b UNIVERSITY OF NEW MEXICO   (United States)

^c MIND RESEARCH NETWORK   (United States)

Author keywords

Adaptive density model; complex valued signal processing; functional magnetic resonance imaging; independent component analysis

Indexed keywords

BIVARIATE; COMPLEX-VALUED SIGNAL; DENSITY MODELS; FMRI DATA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL RESONANCE; ICA ALGORITHMS; INDEPENDENT COMPONENTS; NATIVE COMPLEX; NOISE LEVELS; NON-LINEARITY; PHASE INFORMATION; REAL-WORLD DATASETS; SOURCE DENSITY; SPATIAL MAPS; TIME COURSE;

FITS AND TOLERANCES; MAGNETIC RESONANCE IMAGING; SIGNAL PROCESSING; VISUALIZATION;

INDEPENDENT COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; CALCULATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL ANALYSIS; NOISE; NONLINEAR SYSTEM; SIGNAL PROCESSING;

ALGORITHMS; BRAIN MAPPING; HUMANS; MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 80053188981     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2159841     Document Type: Article

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