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Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity
Resting-state networks (RSNs) can be reliably and reproducibly detected using independent component analysis (ICA) at both individual subject and group levels. Altering ICA dimensionality (model order) estimation can have a significant impact on the spatial characteristics of the RSNs as well as the...
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| Main Authors: | , , , , , , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Frontiers Research Foundation
2011
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3109774/ https://ncbi.nlm.nih.gov/pubmed/21687724 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnsys.2011.00037 |
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