Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China; Laboratory of Neurological Diseases and Brain Function, Luzhou, 646000, China.
Department of Neurosurgery, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, 100071, China.
Seizure. 2021 May;88:15-21. doi: 10.1016/j.seizure.2021.03.020. Epub 2021 Mar 25.
To investigate whether the parameters of EEG microstates changed before and after an absence seizure episode.
AE patients with a current high frequency of seizures were included (n=21). Each included subject underwent a two-hour and 19-channel video EEG examination. Five epochs of 10-second EEG data in interictal, pre-seizure, and post-seizure states were collected from each AE patient. Five 10-second resting-state EEG epochs from sex- and age-matched HCs who reported no history of neurological or psychiatric disorders and visited the hospital for routine physical examinations were collected. Microstate analysis and source localization of microstates were performed using the LORETA KEY tool.
Compared with the resting-state EEGs of HCs, the interictal EEGs of AE patients showed a higher relative transition rate from microstates B to D (p<0.05). From interictal to pre-seizure EEG, the total time ratio of microstate C and the occurrence of microstate B decreased significantly, while the duration of microstate B increased significantly (p<0.05). Compared with pre-seizure EEGs, microstate C in post-seizure EEGs showed a significantly downregulated total time percentage and occurrence (p<0.05). The source localization of each microstate in each condition also varied and showed spatial recovery tends from pre- to post-seizure states.
Altered EEG microstate dynamics exist between inter-ictal EEGs of AE patients and resting-state EEGs of HCs and between pre- and post-seizure EEGs in AE patients. The EEG microstates of epileptic patients before and after absence seizures are characterized by a "slowdown" in transitions between microstates. Microstates might be used as an index to evaluate the temporal and spatial recovery process of absence seizures in AE.
研究失神发作前、后脑电微状态参数是否发生变化。
纳入目前癫痫发作频率较高的 AE 患者(n=21)。每位入组患者均进行了 2 小时 19 通道视频脑电图检查。从每个 AE 患者的发作间期、发作前和发作后状态中采集 5 个 10 秒 EEG 数据段。从性别和年龄匹配的无神经系统或精神疾病病史且因常规体检就诊的 HC 中采集 5 个 10 秒静息态 EEG 数据段。使用 LORETA KEY 工具进行微状态分析和微状态源定位。
与 HC 的静息态 EEG 相比,AE 患者的发作间期 EEG 显示微状态 B 到 D 的相对转换率更高(p<0.05)。从发作间期到发作前 EEG,微状态 C 的总时间比和微状态 B 的出现明显减少,而微状态 B 的持续时间明显增加(p<0.05)。与发作前 EEG 相比,发作后 EEG 中的微状态 C 的总时间百分比和出现明显下调(p<0.05)。每个条件下每个微状态的源定位也不同,表现出从发作前到发作后的空间恢复趋势。
AE 患者发作间期 EEG 与 HC 静息态 EEG 之间以及 AE 患者发作前和发作后 EEG 之间存在 EEG 微状态动力学改变。癫痫患者发作前和发作后的 EEG 微状态表现为微状态之间的转换“减慢”。微状态可作为评估 AE 失神发作的时间和空间恢复过程的指标。