A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses
Abstract
In this paper we present a novel wavelet-based Bayesian nonparametric regression model for the analysis of functional magnetic resonance imaging (fMRI) data. Our goal is to provide a joint analytical framework that allows to detect regions of the brain which exhibit neuronal activity in response to a stimulus and, simultaneously, infer the association, or clustering, of spatially remote voxels that exhibit fMRI time series with similar...
Paper Details
Title
A spatio-temporal nonparametric Bayesian variable selection model of fMRI data for clustering correlated time courses
Published Date
Jul 1, 2014
Journal
Volume
95
Pages
162 - 175
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