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  ICA of fMRI group study data

Svensen, M., Kruggel, F., & Benali, H. (2002). ICA of fMRI group study data. NeuroImage, 16(3), 551-563. doi:10.1006/nimg.2002.1122.

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Svensen, M.1, Author              
Kruggel, F.1, 2, Author              
Benali, H., Author
Affiliations:
1MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634574              
2Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634563              

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 Abstract: Thispaper proposes to extend independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data from single subjects to simultaneous analysis of data from a group of subjects. This results in a set of time courses which are common to the whole group, together with an individual spatial response pattern for each of the subjects in the group. The method is illustrated using data from two fMRI experiments. The results show that: (a) ICA is capable of extracting nontrivial task related components without any a priori information about the fMRI experiment; (b) in analysis of group data, ICA identifies components common to the whole group as well as components manifested in single subjects only.

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Language(s): eng - English
 Dates: 2002
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 239352
ISI: 000176767800001
Other: P6817
DOI: 10.1006/nimg.2002.1122
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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 16 (3) Sequence Number: - Start / End Page: 551 - 563 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166