Depression Classification Using Frequent Subgraph Mining Based on Pattern Growth of Frequent Edge in Functional Magnetic Resonance Imaging Uncertain Network

The brain network structure is highly uncertain due to the noise in imaging signals and evaluation methods. Recent works have shown that uncertain brain networks could capture uncertain information with regards to functional connections. Most of the existing research studies covering uncertain brain...

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Detalles Bibliográficos
Autores principales: Li, Yao, Zhou, Zihao, Li, Qifan, Li, Tao, Julian, Ibegbu Nnamdi, Guo, Hao, Chen, Junjie
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/PMC9106560/
https://www.ncbi.nlm.nih.gov/pubmed/35578623
http://dx.doi.org/10.3389/fnins.2022.889105

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9106560/
https://www.ncbi.nlm.nih.gov/pubmed/35578623
http://dx.doi.org/10.3389/fnins.2022.889105

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