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Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification
Conventional Functional connectivity (FC) analysis focuses on characterizing the correlation between two brain regions, whereas the high-order FC can model the correlation between two brain region pairs. To reduce the number of brain region pairs, clustering is applied to group all the brain region...
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| 出版年: | Neuroinformatics |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5541911/ https://ncbi.nlm.nih.gov/pubmed/28555371 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12021-017-9330-4 |
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