Jiang YuBao, Zhu MingYu, Hu Ying, Wang Kai
Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China.
Front Neurol. 2021 Nov 22;12:710952. doi: 10.3389/fneur.2021.710952. eCollection 2021.
Idiopathic generalized epilepsy (IGE) involves aberrant organization and functioning of large-scale brain networks. This study aims to investigate whether the resting-state EEG microstate analysis could provide novel insights into the abnormal temporal and spatial properties of intrinsic brain activities in patients with IGE. Three groups of participants were chosen for this study (namely IGE-Seizure, IGE-Seizure Free, and Healthy Controls). EEG microstate analysis on the resting-state EEG datasets was conducted for all participants. The average duration ("Duration"), the average number of microstates per second ("Frequency"), as well as the percentage of total analysis time occupied in that state ("Coverage") of the EEG microstate were compared among the three groups. For microstate classes B and D, the differences in Duration, Frequency, and Coverage among the three groups were not statistically significant. Both Frequency and Coverage of microstate class A were statistically significantly larger in the IGE-Seizure group than in the other two groups. The Duration and Coverage of microstate class C were statistically significantly smaller in the IGE-Seizure group than those in the other two groups. The Microstate class A was regarded as a sensorimotor network and Microstate class C was mainly related to the salience network, this study indicated an altered sensorimotor and salience network in patients with IGE, especially in those who had experienced seizures in the past 2 years, while the visual and attention networks seemed to be intact. The temporal dynamics of resting-state networks were studied through EEG microstate analysis in patients with IGE, which is expected to generate indices that could be utilized in clinical researches of epilepsy.
特发性全身性癫痫(IGE)涉及大规模脑网络的异常组织和功能。本研究旨在探讨静息态脑电图微状态分析是否能为IGE患者内在脑活动的异常时空特性提供新的见解。本研究选取了三组参与者(即IGE-发作组、IGE-无发作组和健康对照组)。对所有参与者的静息态脑电图数据集进行了脑电图微状态分析。比较了三组之间脑电图微状态的平均持续时间(“持续时间”)、每秒微状态的平均数量(“频率”)以及该状态下占总分析时间的百分比(“覆盖率”)。对于微状态类别B和D,三组之间在持续时间、频率和覆盖率上的差异无统计学意义。IGE-发作组中微状态类别A的频率和覆盖率在统计学上显著高于其他两组。IGE-发作组中微状态类别C的持续时间和覆盖率在统计学上显著低于其他两组。微状态类别A被视为感觉运动网络,微状态类别C主要与突显网络相关,本研究表明IGE患者的感觉运动和突显网络发生了改变,尤其是在过去2年中有发作经历的患者中,而视觉和注意力网络似乎完好无损。通过脑电图微状态分析研究了IGE患者静息态网络的时间动态,有望生成可用于癫痫临床研究的指标。