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An empirical Bayes normalization method for connectivity metrics in resting state fMRI
Functional connectivity analysis using resting-state functional magnetic resonance imaging (rs-fMRI) has emerged as a powerful technique for investigating functional brain networks. The functional connectivity is often quantified by statistical metrics (e.g., Pearson correlation coefficient), which...
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| 出版年: | Front Neurosci |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4584951/ https://ncbi.nlm.nih.gov/pubmed/26441493 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2015.00316 |
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