Fang Shengyu, Zhou Chunyao, Fan Xing, Jiang Tao, Wang Yinyan
Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing, China.
Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Front Neurol. 2020 Jul 17;11:684. doi: 10.3389/fneur.2020.00684. eCollection 2020.
Seizures are a common symptom in patients with temporal lobe gliomas and may result in brain network alterations. However, brain network changes caused by glioma-related epilepsy (GRE) remain poorly understood. In this study, we applied graph theory analysis to delineate topological networks with resting-state functional magnetic resonance images (rs-fMRI) and investigated characteristics of functional networks in patients with GRE. Thirty patients with low-grade gliomas in the left temporal lobe were enrolled and classified into GRE ( = 15) and non-GRE groups. Twenty healthy participants matched for age, sex, and education level were enrolled. All participants had rs-fMRI data. Sensorimotor, visual, default mode, auditory, and right executive control networks were used to construct connection matrices. Topological properties of those sub-networks were investigated. Compared to that in the GRE group, four edges with higher functional connectivity were noted in the non-GRE group. Moreover, 21 edges with higher functional connectivity were identified in the non-GRE group compared to the healthy group. All significant alterations in functional edges belong to the visual network. Increased global efficiency and decreased shortest path lengths were noted in the non-GRE group compared to the GRE and healthy groups. Compared with that in the healthy group, nodal efficiency of three nodes was higher in the GRE and non-GRE groups and the degree centrality of six nodes was altered in the non-GRE group. Temporal lobe gliomas in the left hemisphere and GRE altered visual networks in an opposing manner. These findings provide a novel insight into brain network alterations induced by GRE.
癫痫发作是颞叶胶质瘤患者的常见症状，可能导致脑网络改变。然而，胶质瘤相关癫痫（GRE）引起的脑网络变化仍知之甚少。在本研究中，我们应用图论分析，通过静息态功能磁共振成像（rs-fMRI）描绘拓扑网络，并研究GRE患者功能网络的特征。招募了30例左侧颞叶低级别胶质瘤患者，分为GRE组（n = 15）和非GRE组。招募了20名年龄、性别和教育水平相匹配的健康参与者。所有参与者均有rs-fMRI数据。使用感觉运动、视觉、默认模式、听觉和右侧执行控制网络构建连接矩阵。研究了这些子网的拓扑特性。与GRE组相比，非GRE组发现4条功能连接性较高的边。此外，与健康组相比，非GRE组发现21条功能连接性较高的边。功能边的所有显著改变均属于视觉网络。与GRE组和健康组相比，非GRE组的全局效率增加，最短路径长度缩短。与健康组相比，GRE组和非GRE组中3个节点的节点效率较高，非GRE组中6个节点的度中心性发生改变。左侧半球的颞叶胶质瘤和GRE以相反的方式改变视觉网络。这些发现为GRE引起的脑网络改变提供了新的见解。
