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Predicting Functional Connectivity From Observed and Latent Structural Connectivity via Eigenvalue Mapping
Understanding how complex dynamic activity propagates over a static structural network is an overarching question in the field of neuroscience. Previous work has demonstrated that linear graph-theoretic models perform as well as non-linear neural simulations in predicting functional connectivity wit...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964629/ https://www.ncbi.nlm.nih.gov/pubmed/35368264 http://dx.doi.org/10.3389/fnins.2022.810111 |