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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...

詳細記述

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書誌詳細
主要な著者: Hlinkaa, Jaroslav, Paluša, Milan, Vejmelkaa, Martin, Mantini, Dante, Corbetta, Maurizio
フォーマット: Artigo
言語:Inglês
出版事項: 2010
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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