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Comparison of multi‐subject ICA methods for analysis of fMRI data
Spatial independent component analysis (ICA) applied to functional magnetic resonance imaging (fMRI) data identifies functionally connected networks by estimating spatially independent patterns from their linearly mixed fMRI signals. Several multi‐subject ICA approaches estimating subject‐specific t...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley Subscription Services, Inc., A Wiley Company
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3117074/ https://ncbi.nlm.nih.gov/pubmed/21162045 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.21170 |
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