Bayesian methods for fMRI time-series analysis using a nonstationary model for the noise

IEEE Transactions on Information Technology in Biomedicine

Volumn 14, Issue 3, 2010, Pages 664-674

  Oikonomou, Vangelis P ^a   Tripoliti, Evanthia E ^a   Fotiadis, Dimitrios I ^a  

^a UNIVERSITY OF IOANNINA   (Greece)

Author keywords

Drift removal; Functional MRI (fMRI) time series; Generalized linear model (GLM); Nonstationary noise model; Variational Bayesian (VB) methodology

Indexed keywords

FUNCTIONAL MRI (FMRI); FUNCTIONAL MRI (FMRI) TIME SERIES; GENERALIZED LINEAR MODEL; NONSTATIONARY NOISE; VARIATIONAL BAYESIAN;

ALGORITHMS; BAYESIAN NETWORKS; HARMONIC ANALYSIS; MATHEMATICAL MODELS; TIME SERIES;

TIME SERIES ANALYSIS;

ALGORITHM; ARTICLE; BAYES THEOREM; BRAIN; COMPUTER SIMULATION; HUMAN; METHODOLOGY; MONTE CARLO METHOD; MOTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; BRAIN; COMPUTER SIMULATION; HUMANS; LEAST-SQUARES ANALYSIS; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MONTE CARLO METHOD; MOTION; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77953157010     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2009.2039712     Document Type: Article

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