Specific endophenotypes in EEG microstates for methamphetamine use disorder

Specific endophenotypes in EEG microstates for methamphetamine use disorder

BackgroundElectroencephalogram (EEG) microstates, which reflect large-scale resting-state networks of the brain, have been proposed as potential endophenotypes for methamphetamine use disorder (MUD). However, current endophenotypes lack refinement at the frequency band level, limiting their precisio...

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Bibliographic Details
Main Authors: Xurong Gao, Yun-Hsuan Chen, Ziyi Zeng, Wenyao Zheng, Chengpeng Chai, Hemmings Wu, Zhoule Zhu, Jie Yang, Lihua Zhong, Hua Shen, Mohamad Sawan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Psychiatry
Subjects:
EEG
microstate
methamphetamine addiction
resting states
detection biomarkers
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1513793/full
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