A sparse Bayesian method for determination of flexible design matrix for fMRI data analysis

IEEE Transactions on Circuits and Systems I: Regular Papers

Volumn 52, Issue 12, 2005, Pages 2699-2706

  Luo, Huaien ^a   Puthusserypady, Sadasivan ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Design matrix; Functional magnetic resonance imaging (fMRI); Generalized linear model; Receiver operating characteristic (ROC) curve; Sparse Bayesian learning

Indexed keywords

BRAIN; COMPUTER SIMULATION; DATA REDUCTION; MATHEMATICAL MODELS; NEUROLOGY; PROBABILITY; SIGNAL PROCESSING; STATISTICAL METHODS;

DESIGN MATRIX; FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI); GENERALIZED LINEAR MODEL; RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE; SPARSE BAYESIAN LEARNING;

MEDICAL IMAGING;

EID: 29344433832     PISSN: 10577122     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSI.2005.857083     Document Type: Article

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