Treatment Response Prediction and Individualized Identification of Short-Term Abstinence Methamphetamine Dependence Using Brain Graph Metrics

Treatment Response Prediction and Individualized Identification of Short-Term Abstinence Methamphetamine Dependence Using Brain Graph Metrics

Background: The abuse of methamphetamine (MA) worldwide has gained international attention as the most rapidly growing illicit drug problem. The classification and treatment response prediction of MA addicts are thereby paramount, in order for effective treatments to be more targeted to individuals....

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Bibliographic Details
Main Authors: Cui Yan, Xuefei Yang, Ru Yang, Wenhan Yang, Jing Luo, Fei Tang, Sihong Huang, Jun Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Psychiatry
Subjects:
methamphetamine dependence
support vector machine
classification
treatment response
graph metrics
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2021.583950/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2021.583950/full

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