Lv Lingxuan, Lin Nan, Gao Weifang, Zhai Feifei, Wang Jing, Xiang Huanhuan, Liu Xinshan, Sun Heyang, Lu Qiang, Wang Mengyang, Liu Qing, Zhu Yicheng
Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Department of Neurology, SanBo Brain Hospital, Capital Medical University, Beijing 100093, China.
Epilepsy Behav. 2025 May;166:110365. doi: 10.1016/j.yebeh.2025.110365. Epub 2025 Mar 15.
Electroencephalography (EEG) microstate analysis is widely used in the study of various neurological and psychiatric disorders. We aim to assess whether EEG microstates are altered in TLE patients with and without cognitive decline.
This study included a total of 47 temporal lobe epilepsy (TLE) patients with or without cognitive decline and 14 healthy controls (HCs). All participants underwent 64-channel EEG monitoring. Two-minute epochs of preprocessed eye closed awake EEG data were extracted for microstate analysis. Participants were divided into groups based on intelligence quotient (IQ) scores assessed by the Wechsler Intelligence Scale: normal cognition group (n = 23, IQ ≥ 90) and abnormal cognition group (n = 24, IQ < 90). We conducted frequency spectral analysis on each frequency sub-bands (delta, 1-4 Hz; theta, 4-8 Hz; alpha, 8-12 Hz; beta, 12-30 Hz) of the three groups. Then the following microstate parameters were extracted for analysis over the full frequency band (1-30 Hz) and frequency sub-bands: duration, coverage, occurrence, and transition probability. Statistical analysis using multivariate analysis of variance (MANOVA) with Bonferroni correction (α = 0.0025).
Microstate analysis in the beta sub-band revealed significant differences among groups. TLE patients with abnormal cognition showed increased occurrence of Map-D; significantly higher transition probabilities from Map-A, Map-B, and Map-C to Map-D; and distinct microstate characteristics compared to patients with normal cognition and HCs. In frequency spectral analysis, the power across all frequency sub-bands showed no significant differences among TLE patients with normal cognition, TLE patients with abnormal cognition, and HCs.
Beta sub-band EEG microstates, particularly Map-D characteristics, may serve as potential neurophysiological markers for cognitive decline in TLE patients.
脑电图（EEG）微状态分析广泛应用于各种神经和精神疾病的研究。我们旨在评估有和没有认知功能下降的颞叶癫痫（TLE）患者的EEG微状态是否发生改变。
本研究共纳入47例有或无认知功能下降的颞叶癫痫患者以及14名健康对照者（HCs）。所有参与者均接受64导EEG监测。提取预处理后的闭眼清醒EEG数据的两分钟时段用于微状态分析。根据韦氏智力量表评估的智商（IQ）得分将参与者分为两组：正常认知组（n = 23，IQ≥90）和异常认知组（n = 24，IQ < 90）。我们对三组的每个频率子带（δ波，1 - 4Hz；θ波，4 - 8Hz；α波，8 - 12Hz；β波，12 - 30Hz）进行频谱分析。然后在全频段（1 - 30Hz）和频率子带上提取以下微状态参数进行分析：持续时间、覆盖率、出现率和转移概率。采用多变量方差分析（MANOVA）并进行Bonferroni校正（α = 0.0025）进行统计分析。
β子带的微状态分析显示组间存在显著差异。认知功能异常的TLE患者显示Map - D的出现率增加；从Map - A、Map - B和Map - C到Map - D的转移概率显著更高；与认知功能正常的患者和HCs相比，具有明显不同的微状态特征。在频谱分析中，认知功能正常的TLE患者、认知功能异常的TLE患者和HCs在所有频率子带上的功率均无显著差异。
β子带EEG微状态，特别是Map - D特征，可能是TLE患者认知功能下降的潜在神经生理标志物。
