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Structure can predict function in the human brain: a graph neural network deep learning model of functional connectivity and centrality based on structural connectivity
Although functional connectivity and associated graph theory measures (e.g., centrality; how centrally important to the network a region is) are widely used in brain research, the full extent to which these functional measures are related to the underlying structural connectivity is not yet fully un...
Autores principales: | Neudorf, Josh, Kress, Shaylyn, Borowsky, Ron |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741721/ https://www.ncbi.nlm.nih.gov/pubmed/34633514 http://dx.doi.org/10.1007/s00429-021-02403-8 |
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