Inferring individual differences in fMRI : finding brain regions with significant within subject correlation
Purkayastha, Sumitra, Wager, Tor D. and Nichols, Thomas E.. (2008) Inferring individual differences in fMRI : finding brain regions with significant within subject correlation. Statistica Sinica, Vol.18 . pp. 1483-1500. ISSN 1017-0405
WRAP_nichols_Purkayastha_et_al.2008-INFERRING_INDIVIDUAL_DIFFERENCES_IN_FMRI_-_FINDING_BRAIN_REGIONS_WITH_SIGNIFICANT_WITHIN_SUBJECT_.pdf - Published Version - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Official URL: http://www3.stat.sinica.edu.tw/statistica/J18N4/J1...
Functional magnetic resonance imaging studies answer questions about activation effects in populations of subjects. To begin with, this involves appropriate modelling of the fMRI data at the within-subject level. This is followed by extending the model to multiple subjects. There have been several attempts toward this extension, all of which have focused on inference on a single effect of interest (e.g., fMRI response for one type of working memory). However, the existing literature does not seem to say much about the relevant inferential procedures when multiple effects are of interest (e.g., response for four different types of working memory). In particular, the within subject dependence of one activation effect on another is an important issue with a multivariate repeated measures model. While most standard statistical methods regard such correlation as a nuisance, to be adjusted for and then ignored, we develop two simple and intuitive tests to make inference on the existence of such correlation. We demonstrate use of these tests by application to an fMRI study of attention switching. These tests are different not only from conventional tests for sphericity but also, more importantly, from the likelihood ratio test (LRT) of the relevant hypothesis. We also discuss what prompts us to look for tests different from the LRT.
|Item Type:||Journal Article|
|Subjects:||Q Science > QA Mathematics
R Medicine > R Medicine (General)
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
|Divisions:||Faculty of Science > Statistics
Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
|Library of Congress Subject Headings (LCSH):||Magnetic resonance imaging -- Mathematical models, Attention -- Testing|
|Journal or Publication Title:||Statistica Sinica|
|Publisher:||Academia Sinica * Institute of Statistical Science|
|Official Date:||October 2008|
|Number of Pages:||18|
|Page Range:||pp. 1483-1500|
|Access rights to Published version:||Open Access|
Anderson, T. W. (2003). An Introduction to Multivariate Statistical Analysis. Third edition.
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