Independent component analysis for brain fMRI does not select for independence.
Journal Article (Journal Article)
InfoMax and FastICA are the independent component analysis algorithms most used and apparently most effective for brain fMRI. We show that this is linked to their ability to handle effectively sparse components rather than independent components as such. The mathematical design of better analysis tools for brain fMRI should thus emphasize other mathematical characteristics than independence.
Full Text
Duke Authors
Cited Authors
- Daubechies, I; Roussos, E; Takerkart, S; Benharrosh, M; Golden, C; D'Ardenne, K; Richter, W; Cohen, JD; Haxby, J
Published Date
- June 2009
Published In
Volume / Issue
- 106 / 26
Start / End Page
- 10415 - 10422
PubMed ID
- 19556548
Pubmed Central ID
- PMC2705604
Electronic International Standard Serial Number (EISSN)
- 1091-6490
International Standard Serial Number (ISSN)
- 0027-8424
Digital Object Identifier (DOI)
- 10.1073/pnas.0903525106
Language
- eng