Independent component analysis for brain fMRI does not select for independence.
Where this comes from
- Record sourced from PubMed, PMID 19556548.
- Also identified by DOI 10.1073/pnas.0903525106 and PMC identifier 2705604.
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Abstract
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.
Medical subject headings
- Algorithms
- Brain Mapping
- Magnetic Resonance Imaging