ICA of fMRI group study data

Svensen, M.; Kruggel, F.; Benali, H.

doi:10.1006/nimg.2002.1122

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

ICA of fMRI group study data

MPS-Authors

/persons/resource/persons20036

Svensen, M.
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons19800

Kruggel, F.
Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

17200.pdf
(Any fulltext), 2MB

Supplementary Material (public)

There is no public supplementary material available

Citation

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

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-BAEA-E

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.