Convolutional Recurrent Neural Network for Dynamic Functional MRI Analysis and Brain Disease Identification

Dynamic functional connectivity (dFC) networks derived from resting-state functional magnetic resonance imaging (rs-fMRI) help us understand fundamental dynamic characteristics of human brains, thereby providing an efficient solution for automated identification of brain diseases, such as Alzheimer&...

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Detalles Bibliográficos
Autores principales: Lin, Kai, Jie, Biao, Dong, Peng, Ding, Xintao, Bian, Weixin, Liu, Mingxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298744/
https://www.ncbi.nlm.nih.gov/pubmed/35873806
http://dx.doi.org/10.3389/fnins.2022.933660

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9298744/
https://www.ncbi.nlm.nih.gov/pubmed/35873806
http://dx.doi.org/10.3389/fnins.2022.933660

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