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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2013
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3701552/ https://www.ncbi.nlm.nih.gov/pubmed/23861763 http://dx.doi.org/10.1371/journal.pone.0067428 |