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A hierarchical spatial Bayesian model for multisubject functional MRI data

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Nichols, Thomas E., Xu, L. and Johnson, T. D. (2009) A hierarchical spatial Bayesian model for multisubject functional MRI data. In: Oxford-Warwick Statistics Seminar, University of Warwick, Coventry, UK, 5 Nov 2009 (Unpublished)

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Abstract

There are a rich collection of tools available for making inference for fMRI data, but most are based on the 'Mass Univariate' approach where univariate models are individually fit at each voxel. A critical shortcoming of these methods is that they cannot explicitly model the spatial structure of fMRI signals. For multi-subject fMRI
analyses, I argue this is particularly crucial, since even after atlas warping there is considerable spatial variability in activation location over subjects. I will present a hierarchical spatial model for multi-subject fMRI analyses, where latent population- and individual centres fit the anticipated focal signals. The model uses priors for identifiability and full posterior sampling to provide inference on a variety of measures of interest unavailable in a mass-univariate framework, including population prevalence of activation and inter-subject spread of activation about population centres. I show evaluations of the model with simulations and demonstrate it with real data. Time permitting, I will also show how
this framework generalizes to other settings, including 'spatial meta-analyses' and lesion modelling in Multiple Sclerosis.

Item Type: Conference Item (Lecture)
Subjects: Q Science > QA Mathematics
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science, Engineering and Medicine > Science > Statistics
Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Imaging -- Statistical methods, Magnetic resonance imaging, Bayesian statistical decision theory
Official Date: 5 November 2009
Dates:
DateEvent
5 November 2009Completion
Status: Not Peer Reviewed
Publication Status: Unpublished
Realised As:
Version or Related Resource: Also given at Functional MRI Facility, National Institutes of Health, 20 January, 2010; Massachusetts Institute of Technology, CSAIL Seminar, 6 May, 2010; University of Bristol, Department of Mathematics, Stats Seminar, 21 May, 2010; University of Warwick, Bioimaging Group, 26 May, 2010; and the University of Nottingham, Department of Statistics Seminar, 9 December 2010.
Conference Paper Type: Lecture
Title of Event: Oxford-Warwick Statistics Seminar
Type of Event: Other
Location of Event: University of Warwick, Coventry, UK
Date(s) of Event: 5 Nov 2009

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