Li Ying, Zhao Yibo, Chen Yanan, Meng Mingxian, Ren Zhe, Zhao Zongya, Wang Na, Zhao Ting, Cui Beijia, Li Mingmin, Liu Jin, Wang Qi, Han Jiuyan, Wang Bin, Han Xiong
Department of Neurology, Xinxiang Medical University, Henan Provincial People's Hospital, Zhengzhou, Henan Province, China.
Department of Neurology, Zhengzhou University People's Hospital, Zhengzhou, Henan Province, China.
Seizure. 2025 Jan;124:48-56. doi: 10.1016/j.seizure.2024.12.004. Epub 2024 Dec 4.
Juvenile myoclonic epilepsy (JME) is associated with large-scale brain network dysfunction. This study aims to investigate how anti-seizure medication (ASM) treatment alters resting-state functional networks in JME patients through resting-state EEG microstate analysis.
Ninety-six subjects participated in this study: 24 healthy controls (HC), 29 newly diagnosed JME patients who had not started ASMs therapy (JME-NM), and 43 JME patients on ASMs treatment with effective seizure control (JME-M). EEG data were collected for 10 min while participants were awake and resting with their eyes closed, using a standard 19-channel recording system. EEG topographies were categorized into four microstate classes (A, B, C, D), and parameters such as mean duration, occurrence rate, time coverage, and transition probabilities between microstates were computed and compared among the three groups. Advanced statistical methods were employed to ensure the robustness and validity of the findings.
Significant alterations in EEG microstate characteristics were observed in untreated JME patients (JME-NM) compared to both healthy controls and treated patients. Microstate B had a markedly reduced mean duration in the JME-NM group, while microstate A displayed an increased occurrence rate and greater time coverage. Transition probabilities between specific microstates, such as from A to C, A to D, and B to C, were also significantly different in the JME-NM group. The normalization of these parameters in the JME-M group suggests that ASMs effectively stabilize altered brain networks, potentially mitigating the pathophysiological disruptions associated with JME.
This study demonstrates that ASMs effectively normalize disruptions in sensory-motor and visual networks in JME patients. EEG microstate analysis provides a dynamic view of brain network alterations and offers potential as a biomarker for the diagnosis and monitoring of JME, as well as for evaluating treatment response. These findings advance our understanding of the neurophysiological mechanisms underlying JME.
青少年肌阵挛癫痫（JME）与大规模脑网络功能障碍有关。本研究旨在通过静息态脑电图微状态分析，探究抗癫痫药物（ASM）治疗如何改变JME患者的静息态功能网络。
96名受试者参与了本研究：24名健康对照者（HC）、29名未开始ASM治疗的新诊断JME患者（JME-NM）以及43名ASM治疗后癫痫得到有效控制的JME患者（JME-M）。使用标准的19通道记录系统，在参与者清醒并闭眼休息时收集10分钟的脑电图数据。脑电图地形图被分为四个微状态类别（A、B、C、D），并计算了微状态之间的平均持续时间、发生率、时间覆盖率和转换概率等参数，在三组之间进行比较。采用先进的统计方法以确保研究结果的稳健性和有效性。
与健康对照者和接受治疗的患者相比，未治疗的JME患者（JME-NM）的脑电图微状态特征有显著改变。JME-NM组中微状态B的平均持续时间明显缩短，而微状态A的发生率增加且时间覆盖率更高。JME-NM组中特定微状态之间的转换概率，如从A到C、从A到D以及从B到C，也有显著差异。JME-M组中这些参数的正常化表明ASM有效地稳定了改变的脑网络，可能减轻了与JME相关的病理生理紊乱。
本研究表明，ASM有效地使JME患者的感觉运动和视觉网络紊乱正常化。脑电图微状态分析提供了脑网络改变的动态视图，并有望作为JME诊断、监测以及评估治疗反应的生物标志物。这些发现推进了我们对JME潜在神经生理机制的理解。
