Graph Convolutional Networks Reveal Network-Level Functional Dysconnectivity in Schizophrenia

BACKGROUND AND HYPOTHESIS: Schizophrenia is increasingly understood as a disorder of brain dysconnectivity. Recently, graph-based approaches such as graph convolutional network (GCN) have been leveraged to explore complex pairwise similarities in imaging features among brain regions, which can revea...

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Detalles Bibliográficos
Autores principales: Lei, Du, Qin, Kun, Pinaya, Walter H L, Young, Jonathan, Van Amelsvoort, Therese, Marcelis, Machteld, Donohoe, Gary, Mothersill, David O, Corvin, Aiden, Vieira, Sandra, Lui, Su, Scarpazza, Cristina, Arango, Celso, Bullmore, Ed, Gong, Qiyong, McGuire, Philip, Mechelli, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Regular Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212102/
https://www.ncbi.nlm.nih.gov/pubmed/35569019
http://dx.doi.org/10.1093/schbul/sbac047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212102/
https://www.ncbi.nlm.nih.gov/pubmed/35569019
http://dx.doi.org/10.1093/schbul/sbac047

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