Detecting the Information of Functional Connectivity Networks in Normal Aging Using Deep Learning From a Big Data Perspective

A resting-state functional connectivity (rsFC)-constructed functional network (FN) derived from functional magnetic resonance imaging (fMRI) data can effectively mine alterations in brain function during aging due to the non-invasive and effective advantages of fMRI. With global health research focu...

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Detalles Bibliográficos
Autores principales: Wen, Xin, Dong, Li, Chen, Junjie, Xiang, Jie, Yang, Jie, Li, Hechun, Liu, Xiaobo, Luo, Cheng, Yao, Dezhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978665/
https://www.ncbi.nlm.nih.gov/pubmed/32009894
http://dx.doi.org/10.3389/fnins.2019.01435

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978665/
https://www.ncbi.nlm.nih.gov/pubmed/32009894
http://dx.doi.org/10.3389/fnins.2019.01435

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