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INVESTIGATING DIFFERENCES IN BRAIN FUNCTIONAL NETWORKS USING HIERARCHICAL COVARIATE-ADJUSTED INDEPENDENT COMPONENT ANALYSIS
Human brains perform tasks via complex functional networks consisting of separated brain regions. A popular approach to characterize brain functional networks in fMRI studies is independent component analysis (ICA), which is a powerful method to reconstruct latent source signals from their linear mi...
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| 發表在: | Ann Appl Stat |
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| Main Authors: | , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2017
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5375118/ https://ncbi.nlm.nih.gov/pubmed/28367256 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/16-AOAS946 |
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