Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals

INTRODUCTION: Can we apply graph representation learning algorithms to identify autism spectrum disorder (ASD) patients within a large brain imaging dataset? ASD is mainly identified by brain functional connectivity patterns. Attempts to unveil the common neural patterns emerged in ASD are the essen...

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Detalles Bibliográficos
Autores principales: Yousefian, Ali, Shayegh, Farzaneh, Maleki, Zeinab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932324/
https://www.ncbi.nlm.nih.gov/pubmed/36817947
http://dx.doi.org/10.3389/fnsys.2022.904770

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932324/
https://www.ncbi.nlm.nih.gov/pubmed/36817947
http://dx.doi.org/10.3389/fnsys.2022.904770

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