Independent component analysis in the presence of noise in fMRI

Magnetic Resonance Imaging

Volumn 25, Issue 9, 2007, Pages 1237-1248

  Cordes, Dietmar ^a   Nandy, Rajesh ^b  

^a UNIVERSITY OF COLORADO   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

AR(1); Autoregressive noise; fMRI; Functional magnetic resonance imaging; Noisy ICA

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; AUTOREGRESSIVE MODEL; CORRELATION COEFFICIENT; ESTIMATED MIXING MATRIX; EVALUATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL MODEL; NOISE; NOISE COVARIANCE MATRIX; NORMAL DISTRIBUTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; SIMULATION; STATISTICAL MODEL;

ALGORITHMS; BRAIN; BRAIN MAPPING; HUMANS; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; MOTOR ACTIVITY; NORMAL DISTRIBUTION;

EID: 35448955368     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2007.03.021     Document Type: Article

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