Resting-state brain oscillations predict cognitive function in psychiatric disorders: A transdiagnostic machine learning approach

BACKGROUND: Cognitive dysfunction is widespread in psychiatric disorders and can significantly impact quality of life. Deficits cut across traditional diagnostic boundaries, necessitating new approaches to understand how cognitive function relates to large-scale brain activity and psychiatric sympto...

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Detalles Bibliográficos
Autores principales: Sargent, Kaia, Chavez-Baldini, UnYoung, Master, Sarah L., Verweij, Karin J.H., Lok, Anja, Sutterland, Arjen L., Vulink, Nienke C., Denys, Damiaan, Smit, Dirk J.A., Nieman, Dorien H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985402/
https://www.ncbi.nlm.nih.gov/pubmed/33752077
http://dx.doi.org/10.1016/j.nicl.2021.102617

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985402/
https://www.ncbi.nlm.nih.gov/pubmed/33752077
http://dx.doi.org/10.1016/j.nicl.2021.102617

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