Classification of severe obstructive sleep apnea with cognitive impairment using degree centrality: A machine learning analysis

In this study, we aimed to use voxel-level degree centrality (DC) features in combination with machine learning methods to distinguish obstructive sleep apnea (OSA) patients with and without mild cognitive impairment (MCI). Ninety-nine OSA patients were recruited for rs-MRI scanning, including 51 MC...

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Detalles Bibliográficos
Autores principales: Liu, Xiang, Shu, Yongqiang, Yu, Pengfei, Li, Haijun, Duan, Wenfeng, Wei, Zhipeng, Li, Kunyao, Xie, Wei, Zeng, Yaping, Peng, Dechang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453022/
https://www.ncbi.nlm.nih.gov/pubmed/36090863
http://dx.doi.org/10.3389/fneur.2022.1005650

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453022/
https://www.ncbi.nlm.nih.gov/pubmed/36090863
http://dx.doi.org/10.3389/fneur.2022.1005650

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