The Library
Testing for spatial heterogeneity in functional MRI using the multivariate general linear model
Tools
Tools
Tools
Leech, Robert and Leech, Dennis (2011) Testing for spatial heterogeneity in functional MRI using the multivariate general linear model. IEEE Transactions on Medical Imaging, Volume 30 (Number 6). pp. 1293-1302. doi:10.1109/TMI.2011.2114361 ISSN 0278-0062.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Official URL: http://dx.doi.org/10.1109/TMI.2011.2114361
Abstract
Much current research in functional magnetic resonance imaging (fMRI) employs multivariate machine learning approaches (e. g., support vector machines) to detect distributed spatial patterns from the temporal fluctuations of the neural signal. The aim of many studies is not classification, however, but investigation of multivariate spatial patterns, which pattern classifiers detect only indirectly. Here we propose a direct statistical measure for the existence of distributed spatial patterns (or spatial heterogeneity) applicable to fMRI datasets. We extend the univariate general linear model (GLM), typically used in fMRI analysis, to a multivariate case. We demonstrate that contrasting maximum likelihood estimations of different restrictions on this multivariate model can be used to estimate the extent of spatial heterogeneity in fMRI data. Under asymptotic assumptions inference can be made with reference to the chi(2) distribution. The test statistic is then assessed using simulated timecourses derived from real fMRI data followed by analyzing data from a real fMRI experiment. These analyses demonstrate the utility of the proposed measure of heterogeneity as well as considerations in its application. Measuring spatial heterogeneity in fMRI has important theoretical implications in its own right and may have potential uses for better characterising neurological conditions such as stroke and Alzheimer's disease.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics R Medicine > R Medicine (General) |
||||
| Divisions: | Faculty of Social Sciences > Economics | ||||
| Library of Congress Subject Headings (LCSH): | Magnetic resonance imaging -- Statistical methods, Linear models (Statistics) | ||||
| Journal or Publication Title: | IEEE Transactions on Medical Imaging | ||||
| Publisher: | IEEE | ||||
| ISSN: | 0278-0062 | ||||
| Official Date: | 2011 | ||||
| Dates: |
|
||||
| Volume: | Volume 30 | ||||
| Number: | Number 6 | ||||
| Page Range: | pp. 1293-1302 | ||||
| DOI: | 10.1109/TMI.2011.2114361 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Version or Related Resource: | Leech, R. and Leech, D. (2010). Testing for spatial heterogeneity in functional MRI using the multivariate general linear model. Coventry: Department of Economics, University of Warwick. (The Warwick Economics Research Paper Series no. 938). http://wrap.warwick.ac.uk/id/eprint/3517 | ||||
| Related URLs: |
Data sourced from Thomson Reuters' Web of Knowledge
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
