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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 In: Oxford-Warwick Statistics Seminar, University of Warwick, Coventry, UK, 5 Nov 2009 (Unpublished)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) | ||||
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Subjects: | Q Science > QA Mathematics R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) |
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Library of Congress Subject Headings (LCSH): | Imaging -- Statistical methods, Magnetic resonance imaging, Bayesian statistical decision theory | ||||
Official Date: | 5 November 2009 | ||||
Dates: |
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Status: | Not Peer Reviewed | ||||
Publication Status: | Unpublished | ||||
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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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