Construction and Multiple Feature Classification Based on a High-Order Functional Hypernetwork on fMRI Data

Resting-state functional connectivity hypernetworks, in which multiple nodes can be connected, are an effective technique for diagnosing brain disease and performing classification research. Conventional functional hypernetworks can characterize the complex interactions within the human brain in a s...

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Detalles Bibliográficos
Autores principales: Li, Yao, Li, Qifan, Li, Tao, Zhou, Zijing, Xu, Yong, Yang, Yanli, Chen, Junjie, Guo, Hao
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/PMC9043754/
https://www.ncbi.nlm.nih.gov/pubmed/35495049
http://dx.doi.org/10.3389/fnins.2022.848363

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043754/
https://www.ncbi.nlm.nih.gov/pubmed/35495049
http://dx.doi.org/10.3389/fnins.2022.848363

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