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A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework
Independent component analysis (ICA) is a promising method that is increasingly used to analyze brain imaging data such as functional magnetic resonance imaging (fMRI), structural MRI, and electroencephalography and has also proved useful for group comparison, e.g., differentiating healthy controls...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Wiley Subscription Services, Inc., A Wiley Company
2009
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2733923/ https://ncbi.nlm.nih.gov/pubmed/19172631 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.20721 |
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