Abnormal resting-state functional connectome in methamphetamine-dependent patients and its application in machine-learning-based classification

Brain resting-state functional connectivity (rsFC) has been widely analyzed in substance use disorders (SUDs), including methamphetamine (MA) dependence. Most of these studies utilized Pearson correlation analysis to assess rsFC, which cannot determine whether two brain regions are connected by dire...

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Detalles Bibliográficos
Autores principales: Li, Yadi, Cheng, Ping, Liang, Liang, Dong, Haibo, Liu, Huifen, Shen, Wenwen, Zhou, Wenhua
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/PMC9713007/
https://www.ncbi.nlm.nih.gov/pubmed/36466158
http://dx.doi.org/10.3389/fnins.2022.1014539

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713007/
https://www.ncbi.nlm.nih.gov/pubmed/36466158
http://dx.doi.org/10.3389/fnins.2022.1014539

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