A hierarchical spatial Bayesian model for functional MRI
Nichols, Thomas E. (2009) A hierarchical spatial Bayesian model for functional MRI. In: Signal and Image Processing Group Seminars, Department of Computer Science, University of Warwick, Coventry, U.K., Dec 10, 2009 (Unpublished)Full text not available from this repository.
Official URL: http://www2.warwick.ac.uk/fac/sci/dcs/research/pca...
Psychologists use Functional Magnetic Resonance Imaging (fMRI) to view the brain 'in action', measuring changes in blood flow that identify which regions are used to, for example, remember words, perceive pain or engage emotions. The statistical methodology of these brain mapping studies, however, depends on mass-univariate linear modelling, a rich and stable suite of tools for fitting and making inference on brain image data. I will review the standard mass-univariate analysis methods and highlight their shortcomings, in particular their inability to explicitly model the spatial structure of the fMRI signals. I will present a hierarchical spatial model for multi-subject fMRI analyses, where latent population- and individual-centres fit the 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.
|Item Type:||Conference Item (Speech)|
|Subjects:||H Social Sciences > HA Statistics
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
|Divisions:||Faculty of Science > Statistics
Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
|Official Date:||10 December 2009|
|Status:||Not Peer Reviewed|
|Conference Paper Type:||Speech|
|Title of Event:||Signal and Image Processing Group Seminars|
|Type of Event:||Other|
|Location of Event:||Department of Computer Science, University of Warwick, Coventry, U.K.|
|Date(s) of Event:||Dec 10, 2009|
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