An integrative Bayesian approach to matrix‐based analysis in neuroimaging
Abstract
Understanding the correlation structure associated with brain regions is a central goal in neuroscience, as it informs about interregional relationships and network organization. Correlation structure can be conveniently captured in a matrix that indicates the relationships among brain regions, which could involve electroencephalogram sensors, electrophysiology recordings, calcium imaging data, or functional magnetic resonance imaging (FMRI)...
Paper Details
Title
An integrative Bayesian approach to matrix‐based analysis in neuroimaging
Published Date
Jun 12, 2019
Journal
Volume
40
Issue
14
Pages
4072 - 4090
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