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 25, 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