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Functional connectivity in resting-state fMRI: Is linear correlation sufficient?
Functional connectivity (FC) analysis is a prominent approach to analyzing fMRI data, especially acquired under the resting state condition. The commonly used linear correlation FC measure bears an implicit assumption of Gaussianity of the dependence structure. If only the marginals, but not all the...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2010
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4139498/ https://ncbi.nlm.nih.gov/pubmed/20800096 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2010.08.042 |
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