Chen Yanan, Han Xiong, Li Ying, Ren Zhe, Zhao Ting, Pang Jianyue, Wang Na, Zhou Yao, Sun Lei, Gao Jing, Wang Bin, Li Hengfen
Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450052, China.
Department of Neurology, Henan Provincial People's Hospital, Zhengzhou 450003, China.
Seizure. 2025 Aug;130:92-99. doi: 10.1016/j.seizure.2025.05.014. Epub 2025 May 21.
Anxiety is a prevalent psychiatric comorbidity in temporal lobe epilepsy (TLE), however, limited attention has been given to the dynamic characteristics of TLE coexisting with anxiety.The aim of this study was to examine abnormal resting-state Electroencephalography (EEG) microstate dynamics in TLE patients with anxiety disorders compared with TLE patients without anxiety disorders and healthy controls.
Ninety participants in this study: 30 healthy controls (HC), 30 TLE patients with anxiety (PAS), and 30 TLE patients without anxiety (nPAS). The dynamic changes in the entire brain were detected using a 21-channel EEG for microstate analysis. This study comprehensively compared the mean duration, frequency of occurrence, time coverage, and transition probability of each microstate(A, B, C, D) among the three groups. Rigorous statistical methods were employed to ensure the robustness and validity of the research findings.
The results of EEG microstate analysis revealed that the occurrence frequency and time coverage of microstate B (visual network) in the PAS were significantly reduced compared to the nPAS. Compared to HC and nPAS groups, patients with PAS exhibited alterations in the probability of EEG microstate transitions: an increase in transitions from the microstate C (salience network) to the microstate A (auditory network), a decrease in transitions from the dorsal microstate C (salience network) and microstate D (attention network) to the microstate B (visual network). These changes suggest heightened overall network alertness, impaired attention-visual pathway function, and decreased stability of the attention network.
Our research reveals that anxiety disorders in individuals with temporal lobe epilepsy are characterized by heightened alertness, impaired attention-visual integration, and instability of the dorsal attention network. This highlights the significant impact of anxiety on brain network remodeling and cognitive control deficits. Changes in EEG microstate dynamics may serve as a novel biomarker for psychiatric complications associated with epilepsy.
焦虑是颞叶癫痫（TLE）中一种常见的精神共病，然而，对于TLE合并焦虑的动态特征关注有限。本研究的目的是检查患有焦虑症的TLE患者与无焦虑症的TLE患者及健康对照相比，静息态脑电图（EEG）微状态动力学异常情况。
本研究纳入90名参与者：30名健康对照（HC）、30名患有焦虑症的TLE患者（PAS）和30名无焦虑症的TLE患者（nPAS）。使用21通道EEG检测全脑动态变化以进行微状态分析。本研究全面比较了三组中每个微状态（A、B、C、D）的平均持续时间、出现频率、时间覆盖率和转换概率。采用严格的统计方法以确保研究结果的稳健性和有效性。
EEG微状态分析结果显示，与nPAS相比，PAS中微状态B（视觉网络）的出现频率和时间覆盖率显著降低。与HC组和nPAS组相比，PAS患者的EEG微状态转换概率出现改变：从微状态C（突显网络）到微状态A（听觉网络）的转换增加，从背侧微状态C（突显网络）和微状态D（注意网络）到微状态B（视觉网络）的转换减少。这些变化表明整体网络警觉性提高、注意力 - 视觉通路功能受损以及注意网络稳定性降低。
我们的研究表明，颞叶癫痫患者的焦虑症具有警觉性提高、注意力 - 视觉整合受损以及背侧注意网络不稳定的特征。这突出了焦虑对脑网络重塑和认知控制缺陷的重大影响。EEG微状态动力学变化可能作为癫痫相关精神并发症的一种新型生物标志物。
