Discriminating Between Populations of Subjects Based on FMRI Data Using Sparse Features Selection and SRDA Classifier

The difficulties of this study are related to the high dimension and weak contrast-to-noise ratio of fMRI data. [...]fMRI signals are uncalibrated, which makes quantitative inter-subject comparison difficult in general.

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Bibliographic Details
Published inNeuroImage (Orlando, Fla.) Vol. 47; p. S79
Main Authors Damon, C., Pinel, P., Perrot, M., Michel, V., Duchesnay, E., Poline, J.B., Thirion, B.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier Inc 01.07.2009
Elsevier Limited
Subjects
Classification
Variance analysis
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Summary:The difficulties of this study are related to the high dimension and weak contrast-to-noise ratio of fMRI data. [...]fMRI signals are uncalibrated, which makes quantitative inter-subject comparison difficult in general.
ISSN:1053-8119
1095-9572
DOI:10.1016/S1053-8119(09)70552-X