fMRI data analysis with nonstationary noise models: A Bayesian approach

IEEE Transactions on Biomedical Engineering

Volumn 54, Issue 9, 2007, Pages 1621-1630

  Luo, Huaien ^a   Puthusserypady, Sadasivan ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Bayesian estimator; Fractional noise; Functional magnetic resonance imaging (fMRI); General linear model (GLM); Receiver operating characteristic (ROC) curve; Wavelet transform

Indexed keywords

COMPUTER SIMULATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; WAVELET TRANSFORMS;

BAYESIAN ESTIMATOR; FRACTIONAL NOISE; FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI); GENERAL LINEAR MODEL (GLM); RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE;

DATA REDUCTION;

ANALYTIC METHOD; ARTICLE; BAYES THEOREM; CONCEPTUAL FRAMEWORK; COVARIANCE; DATA ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; PERFORMANCE MEASUREMENT SYSTEM; PROBABILITY;

ALGORITHMS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STOCHASTIC PROCESSES;

EID: 34548119576     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.902591     Document Type: Article

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