A Bayesian hierarchical framework for spatial modeling of fMRI data

F. DuBois Bowman; Brian Caffo; Susan Spear Bassett; Clinton D. Kilts

doi:10.1016/j.neuroimage.2007.08.012

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A Bayesian hierarchical framework for spatial modeling of fMRI data

F. DuBois Bowman Brian Caffo Susan Spear Bassett Clinton D. Kilts

Year: 2007 Journal: NeuroImage Vol: 39 (1)Pages: 146-156 Publisher: Elsevier BV

DOI: 10.1016/j.neuroimage.2007.08.012

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Keywords:

Voxel Markov chain Monte Carlo Computer science Bayesian probability Artificial intelligence Functional magnetic resonance imaging Pattern recognition (psychology) Hierarchical database model Gibbs sampling Markov chain Region of interest Machine learning Statistics Mathematics Psychology Data mining Neuroscience

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Functional Brain Connectivity Studies

Life Sciences → Neuroscience → Cognitive Neuroscience

Sensory Analysis and Statistical Methods

Life Sciences → Agricultural and Biological Sciences → Food Science

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

A Bayesian hierarchical framework for spatial modeling of fMRI data

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