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Hybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment: A Feasibility Study
Brain functional connectivity (FC) is often assessed from fMRI data using seed-based methods, such as those of detecting temporal correlation between a predefined region (seed) and all other regions in the brain; or using multivariate methods, such as independent component analysis (ICA). ICA is a u...
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| Hauptverfasser: | , , , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Hindawi Publishing Corporation
2010
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2905944/ https://ncbi.nlm.nih.gov/pubmed/20689712 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2010/868976 |
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