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基于 EEG 的失神癫痫发作间期脑功能连接动态改变

The dynamic changes of brain functional connectivity inter-ictal of absence epilepsy based on EEG

作者: 蒋丝丽  罗华  阮江海 
单位:遂宁市中心医院脑血管病科(四川遂宁 629000,<br />西南医科大学附属医院神经内科(四川泸州 646000,<br />通信作者:阮江海。E-mail: jianghai.ruan@swmu.edu.cn
关键词: 失神发作;静息态脑电图;功能连接;PLV;图论 
分类号:R318.04&nbsp;
出版年·卷·期(页码):2022·41·4(368-373)
摘要:

目的 借助静息态脑电数据分析探索失神癫痫(Absence epilepsy, AE)患者发作间期是否存在脑网络改变,为失神发作的网络基础提供理论依据。方法 纳入AE患者21例,每例截取5段发作前、发作后及发作间期脑电数据各10 s用于分析比较;同时纳入性别、年龄匹配的健康体检者21例作为正常对照组,对照组每例截取5段静息态脑电数据各10s进行分析。通过锁相值(phase locking value,PLV)构建脑网络,然后基于EEG电极导联的相位同步分析;借助图论分析计算网络参数(路径长度、全局效率、聚类系数、局部效率)。比较AE组与正常对照组及AE组组内功能连接及网络参数差异。结果 与正常对照组相比,AE组发作间期脑电在delta及beta2频段额颞顶区连通性增强。同时,beta2频段,AE组较正常对照组聚类系数、全局效率、局部效率增加,路径长度降低(P<0.05); 对于AE组,与发作间期比较,在delta、theta、alpha2、beta1及beta 2频段,发作前其路径长度降低,聚类系数、全局效率、局部效率增加(P<0.05);发作后与发作间期相比,其路径长度降低,聚类系数、全局效率、局部效率增加(P<0.05)。结论 AE病人存在功能连接及网络属性参数的异常改变;同时,AE患者在失神发作过程中也伴随着功能连接和网络参数的改变;在发作前和发作间期脑网络连接的差异主要表现在网络属性上,这可能提示失神发作终止后的一定时间内,其脑功能仍然可能未完全恢复。

 Objective Using resting state EEG data analysis to explore whether there are any brain network change in patients with Absence epilepsy (AE) during the interictal period, and to provide theoretical basis for the network of absence seizures. Methods A total of 21 patients with AE were included in this study. 5 segments EEG data of each group from before-ictal, after-ictal and inter-ictal were intercepted for 10s for analysis and comparison. At the same time, 21 healthy subjects with gender and age matching were included as control group, and 5 segments of resting state EEG data for 10s were intercepted from each control group for analysis. The brain network was constructed by phase locking value (PLV), and then phase synchronization analysis was performed based on EEG electrodes. Network parameters including path length, global efficiency, clustering coefficient and local efficiency were calculated by graph theory analysis. The differences in functional connectivity and network parameters between AE group and control group and intra-class of AE group were compared. Results Compared with control group, the functional connectivity(FC)was enhanced in AE group in frontotemporal parietal area, in delta and beta2 frequency band. Meanwhile, in beta2 frequency band, the clustering coefficient, global efficiency and local efficiency of AE group were increased, while the path length was decreased (P<0.05) , when compared with control group.  intra-class of AE group, compared with the inter-ictal, the path length was decreased before-ictal in delta, theta, alpha2, beta1 and beta 2 frequency bands, while the clustering coefficient, global efficiency and local efficiency were increased (P<0.05). The path length was decreased after-ictal, while the clustering coefficient, global efficiency and local efficiency were increased compared with inter-ictal (P<0.05). Conclusions There are abnormal changes of functional connectivity and network parameters among AE patients. At the same time, the functional connectivity and network parameters of AE patients were also changed during the process of absence seizure. The differences of brain network connectivity between before-ictal and inter-ictal were mainly manifested in network parameters, which may indicate that brain function not be fully recovered within a certain period of time after the termination of one absence seizure.

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