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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...

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Detalles Bibliográficos
Autores principales: Neudorf, Josh, Kress, Shaylyn, Borowsky, Ron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
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