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 interictal ofabsence epilepsy based on EEG

作　　者：蒋丝丽 罗华 阮江海 JIANG Sili;LUO Hua;RUAN Jianghai(Department of Cerebrovascular Disease,Suining Central Hospital,Suining,Sichuan Province 629000;Department of Neurology,The Affiliated Hospital of Southwest Medical University,Luzhou,Sichuan Province 646000)

机构地区：[1]遂宁市中心医院脑血管疾病科,四川遂宁629000 [2]西南医科大学附属医院神经内科,四川泸州646000

出　　处：《北京生物医学工程》2022年第4期368-373,共6页Beijing Biomedical Engineering

基　　金：国家自然科学基金青年科学基金(81804198);西南医科大学青年基金(2018-ZRQN-003)资助。

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10 s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患者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 We use resting state EEG data analysis to explore whether there are any brain network changes 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.Five segments EEG data of each case from before-ictal,after-ictal and inter-ictal groups were intercepted for 10 s 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 10 s were intercepted from each case 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 of 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 and parietal area,in delta and beta2 frequency band.Meanwhile,in beta2 frequency band,the clustering coefficient,global efficiency and local efficiency of AE group increased,while the path length decreased(P<0.05),compared with control group.Intra-class of AE group,compared with the inter-ictal,the path length decreased than before-ictal in delta,theta,alpha2,beta1 and beta 2 frequency bands,while the clustering coefficient,global efficiency and local efficiency increased(P<0.05).The path length decreased during after-ictal,while the clustering coefficient,global efficiency and local efficiency increased,compared with inter-ictal(P<0.05).Conclusions There were 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 proc

关 键 词：失神发作 静息态脑电图 功能连接 锁相值 图论 

分 类 号：R318.04[医药卫生—生物医学工程]