Dysfunction in brain network dynamics has been found to correlate with many psychiatric disorders. However, there is limited research regarding resting electroencephalogram (EEG) brain network and its association with cognitive process for patients with methamphetamine use disorder (MUD). This study aimed at using EEG microstate analysis to determine whether brain network dynamics in patients with MUD differ from those of healthy controls (HC). A total of 55 MUD patients and 27 matched healthy controls were included for analysis. The resting brain activity was recorded by 64-channel electroencephalography. EEG microstate parameters and intracerebral current sources of each EEG microstate were compared between the two groups. Generalized linear regression model was used to explore the correlation between significant microstates with drug history and cognitive functions. MUD patients showed lower mean durations of the microstate classes A and B, and a higher global explained variance of the microstate class C. Besides, MUD patients presented with different current density power in microstates A, B, and C relative to the HC. The generalized linear model showed that MA use frequency is negatively correlated with the MMD of class A. Further, the generalized linear model showed that MA use frequency, scores of Two-back task, and the error rate of MA word are correlated with the MMD and GEV of class B, respectively. Intracranial current source densities of resting EEG microstates are disrupted in MUD patients, hence causing temporal changes in microstate topographies, which are correlated with attention bias and history of drug use.

中文翻译：

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甲基苯丙胺使用障碍的大脑网络动力学和认知功能受阻：来自脑电图微状态的见解。

已经发现脑网络动力学中的功能障碍与许多精神疾病有关。然而，关于甲基苯丙胺使用障碍（MUD）患者的静息脑电图（EEG）脑网络及其与认知过程的关系的研究很少。这项研究旨在使用脑电图微状态分析来确定MUD患者的脑网络动态是否与健康对照（HC）不同。总共包括55位MUD患者和27位相匹配的健康对照者进行分析。通过64通道脑电图记录静息的大脑活动。在两组之间比较了每个脑电微状态的脑电微状态参数和脑内电流源。使用广义线性回归模型来探索显着微状态与药物史和认知功能之间的相关性。MUD患者的微状态类别A和B的平均持续时间较低，而微状态类别C的全局解释方差较高。此外，MUD患者在微状态A，B和C中相对于HC呈现不同的电流密度。广义线性模型表明MA使用频率与A类MMD呈负相关。此外，广义线性模型表明MA使用频率，双向任务得分和MA字的错误率与MMD相关。和B级的GEV。在MUD患者中，静息EEG微观状态的颅内电流源密度被破坏，从而导致微观状态地形的时间变化，