Huang Kailing, Chen Deng, Tian Linyu, Wu Xintong, Li Jinmei, Liu Ling, Guo Jian, Tao Wendan, Chen Hongxi, Zhang Yingying, Huang Xiang, Li Yuming, Lin Qiuxing, Liu Peiwen, Cao Danyang, Li Wenhao, Zhou Dong, An Dongmei
Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Department of Neurology, West China Tianfu Hospital, Sichuan University, Chengdu, China.
Eur J Neurol. 2025 Jul;32(7):e70279. doi: 10.1111/ene.70279.
To identify the Electroencephalogram (EEG) microstate characteristics that can distinguish between patients with first unprovoked seizure (FUS) and newly diagnosed epilepsy (NDE), providing insight into predicting the progress of FUS to NDE, and to find the predictive biomarkers for the responsiveness to initial antiseizure medication (ASM) therapy.
Fifty-six NDE patients in a drug naïve state, 26 FUS patients, and 31 healthy controls (HCs) were compared on microstates features of 21-channel resting-state EEG without artifact. Four classic EEG microstates (A, B, C and D) were derived. The global explained variance (GEV), mean duration (MD), time coverage (TC), and frequency of occurrence (FO) of each microstate were calculated.
NDE and FUS patients exhibited decreased MD, TC, and FO in microstate C compared to the HCs. The FUS patients showed decreased MD, TC, and FO in microstate A compared to the NDE patients. Non-seizure free (NSF) patients showed longer MD, higher TC, and FO in microstate B compared to the seizure free (SF) patients.
EEG microstate serves as electrophysiological markers that can distinguish between patients with FUS and NDE. Additionally, EEG microstate parameters can also serve as the predictive biomarkers for the responsiveness to initial ASM therapy.
识别可区分首次无诱因发作(FUS)患者和新诊断癫痫(NDE)患者的脑电图(EEG)微状态特征,为预测FUS向NDE的进展提供见解,并寻找预测初始抗癫痫药物(ASM)治疗反应性的生物标志物。
比较56例未服用过药物的NDE患者、26例FUS患者和31例健康对照(HCs)的21通道无伪迹静息态EEG的微状态特征。得出四种经典的EEG微状态(A、B、C和D)。计算每个微状态的全局解释方差(GEV)、平均持续时间(MD)、时间覆盖率(TC)和出现频率(FO)。
与HCs相比,NDE和FUS患者在微状态C中的MD、TC和FO降低。与NDE患者相比,FUS患者在微状态A中的MD、TC和FO降低。与无癫痫发作(SF)患者相比,非无癫痫发作(NSF)患者在微状态B中的MD更长、TC更高且FO更高。
EEG微状态可作为区分FUS和NDE患者的电生理标志物。此外,EEG微状态参数也可作为预测初始ASM治疗反应性的生物标志物。