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Is Granger Causality a Viable Technique for Analyzing fMRI Data?
Multivariate neural data provide the basis for assessing interactions in brain networks. Among myriad connectivity measures, Granger causality (GC) has proven to be statistically intuitive, easy to implement, and generate meaningful results. Although its application to functional MRI (fMRI) data is...
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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: |
Public Library of Science
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3701552/ https://ncbi.nlm.nih.gov/pubmed/23861763 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0067428 |
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