Bayesian spatiotemporal model of fMRI data
Abstract
This research describes a new Bayesian spatiotemporal model to analyse block-design BOLD fMRI studies. In the temporal dimension, we parameterise the hemodynamic response function's (HRF) shape with a potential increase of signal and a subsequent exponential decay. In the spatial dimension, we use Gaussian Markov random fields (GMRF) priors on activation characteristics parameters (location and magnitude) that embody our prior knowledge that...
Paper Details
Title
Bayesian spatiotemporal model of fMRI data
Published Date
Jan 1, 2010
Journal
Volume
49
Issue
1
Pages
442 - 456
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Notes
History