Large-Scale Brain Functional Network Integration for Discrimination of Autism Using a 3-D Deep Learning Model

GOAL: Brain functional networks (BFNs) constructed using resting-state functional magnetic resonance imaging (fMRI) have proven to be an effective way to understand aberrant functional connectivity in autism spectrum disorder (ASD) patients. It is still challenging to utilize these features as poten...

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Detalles Bibliográficos
Autores principales: Yang, Ming, Cao, Menglin, Chen, Yuhao, Chen, Yanni, Fan, Geng, Li, Chenxi, Wang, Jue, Liu, Tian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206477/
https://www.ncbi.nlm.nih.gov/pubmed/34149385
http://dx.doi.org/10.3389/fnhum.2021.687288

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206477/
https://www.ncbi.nlm.nih.gov/pubmed/34149385
http://dx.doi.org/10.3389/fnhum.2021.687288

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