Zhu Chaofeng, Zhang Jinying, Fang Shenzhi, Zhang Yuying, Li Juan, Wu Luyan, Huang Huapin, Lin Wanhui
Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Department of Neurology, Fujian Medical University Union Hospital, Xinquan Road 29#, Fuzhou 350001, China.
Ther Adv Neurol Disord. 2024 Dec 23;17:17562864241307846. doi: 10.1177/17562864241307846. eCollection 2024.
Drug-resistant epilepsy (DRE) patients exhibit aberrant large-scale brain networks.
The purpose of investigation is to explore the differences in resting-state electroencephalogram (EEG) microstates between patients with DRE and well-controlled (W-C) epilepsy.
Retrospective study.
Clinical data of epilepsy patients treated at the Epilepsy Center of Fujian Medical University Union Hospital from January 2020 to May 2023 were collected for a minimum follow-up period of 2 years. Participants meeting inclusion and exclusion criteria were categorized into two groups based on follow-up records: W-C group and DRE group. To ensure that the recorded EEG data were not influenced by medication, all EEG recordings were collected before patients commenced any antiepileptic drug treatment. Resting-state EEG datasets of all participants underwent microstate analysis. This study comprehensively compared the average duration, frequency per second, coverage, and transition probabilities (TPs) of each microstate between the two groups.
A total of 289 individuals who met the criteria were included, categorized into the W-C group ( = 112) and the DRE group ( = 177). EEG microstate analysis revealed substantial variances between the two groups. The analysis highlights differences in three of four microstate classifications. Microstate transition analysis demonstrated altered probabilities in DRE patients. Increased probabilities were observed in TP, TP, TP, TP, TP, and TP. Decreased probabilities included TP, TP, TP, TP, TP, and TP.
This study highlights distinctive EEG microstate parameters and TPs in DRE patients compared to those with W-C epilepsy. The results may potentially advance the clinical application of EEG microstates.
耐药性癫痫(DRE)患者表现出异常的大规模脑网络。
本研究旨在探讨耐药性癫痫患者与病情得到良好控制(W-C)的癫痫患者在静息态脑电图(EEG)微状态上的差异。
回顾性研究。
收集2020年1月至2023年5月在福建医科大学附属协和医院癫痫中心接受治疗的癫痫患者的临床资料,最短随访期为2年。根据随访记录,将符合纳入和排除标准的参与者分为两组:W-C组和DRE组。为确保记录的EEG数据不受药物影响,所有EEG记录均在患者开始任何抗癫痫药物治疗之前收集。对所有参与者的静息态EEG数据集进行微状态分析。本研究全面比较了两组之间每个微状态的平均持续时间、每秒频率、覆盖率和转换概率(TPs)。
共纳入289名符合标准的个体,分为W-C组(n = 112)和DRE组(n = 177)。EEG微状态分析显示两组之间存在显著差异。分析突出了四个微状态分类中的三个分类的差异。微状态转换分析表明DRE患者的概率发生了改变。在TP、TP、TP、TP、TP和TP中观察到概率增加。概率降低的包括TP、TP、TP、TP、TP和TP。
本研究强调了与W-C癫痫患者相比,DRE患者独特的EEG微状态参数和TPs。这些结果可能会推动EEG微状态在临床中的应用。