Uncovering shape signatures of resting‐state functional connectivity by geometric deep learning on Riemannian manifold

Functional neural activities manifest geometric patterns, as evidenced by the evolving network topology of functional connectivities (FC) even in the resting state. In this work, we propose a novel manifold‐based geometric neural network for functional brain networks (called “Geo‐Net4Net” for short)...

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Detalles Bibliográficos
Autores principales: Dan, Tingting, Huang, Zhuobin, Cai, Hongmin, Lyday, Robert G., Laurienti, Paul J., Wu, Guorong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374896/
https://www.ncbi.nlm.nih.gov/pubmed/35538672
http://dx.doi.org/10.1002/hbm.25897

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374896/
https://www.ncbi.nlm.nih.gov/pubmed/35538672
http://dx.doi.org/10.1002/hbm.25897

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