A deep learning based approach identifies regions more relevant than resting‐state networks to the prediction of general intelligence from resting‐state fMRI

Prediction of cognitive ability latent factors such as general intelligence from neuroimaging has elucidated questions pertaining to their neural origins. However, predicting general intelligence from functional connectivity limit hypotheses to that specific domain, being agnostic to time‐distribute...

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Detalles Bibliográficos
Autores principales: Hebling Vieira, Bruno, Dubois, Julien, Calhoun, Vince D., Garrido Salmon, Carlos Ernesto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596958/
https://www.ncbi.nlm.nih.gov/pubmed/34587333
http://dx.doi.org/10.1002/hbm.25656

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8596958/
https://www.ncbi.nlm.nih.gov/pubmed/34587333
http://dx.doi.org/10.1002/hbm.25656

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