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Modeling and inference of multisubject fMRI data
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Mumford, Jeanette A. and Nichols, Thomas E. (2006) Modeling and inference of multisubject fMRI data. IEEE Engineering in Medicine and Biology Magazine, Vol.25 (No.2). pp. 42-51. doi:10.1109/MEMB.2006.1607668
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Official URL: http://dx.doi.org/10.1109/MEMB.2006.1607668
Abstract
Functional magnetic resonance imaging (fMRI) is a
rapidly growing technique for studying the brain in
action. Since its creation [1], [2], cognitive scientists
have been using fMRI to understand how we remember,
manipulate, and act on information in our environment.
Working with magnetic resonance physicists, statisticians, and
engineers, these scientists are pushing the frontiers of knowledge
of how the human brain works.
The design and analysis of single-subject fMRI studies
has been well described. For example, [3], chapters 10
and 11 of [4], and chapters 11 and 14 of [5] all give accessible
overviews of fMRI methods for one subject. In contrast,
while the appropriate manner to analyze a group of
subjects has been the topic of several recent papers, we do
not feel it has been covered well in introductory texts and
review papers. Therefore, in this article, we bring together
old and new work on so-called group modeling of fMRI
data using a consistent notation to make the methods more
accessible and comparable.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | R Medicine > R Medicine (General) | ||||
| Divisions: | Faculty of Science > Statistics Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) |
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| Library of Congress Subject Headings (LCSH): | Magnetic resonance imaging -- Mathematical models | ||||
| Journal or Publication Title: | IEEE Engineering in Medicine and Biology Magazine | ||||
| Publisher: | IEEE | ||||
| ISSN: | 0739-5175 | ||||
| Official Date: | 2006 | ||||
| Dates: |
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| Volume: | Vol.25 | ||||
| Number: | No.2 | ||||
| Page Range: | pp. 42-51 | ||||
| DOI: | 10.1109/MEMB.2006.1607668 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access |
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