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Multivariate Brain Functional Connectivity Through Regularized Estimators
Functional connectivity analyses are typically based on matrices containing bivariate measures of covariability, such as correlations. Although this has been a fruitful approach, it may not be the optimal strategy to fully explore the complex associations underlying brain activity. Here, we propose...
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| Publicat a: | Front Neurosci |
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| Autors principals: | , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7753183/ https://ncbi.nlm.nih.gov/pubmed/33363451 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.569540 |
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