Single-subject gray matter networks in temporal lobe epilepsy patients with hippocampal sclerosis
Single-subject gray matter networks in temporal lobe epilepsy patients with hippocampal sclerosis
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DOI：
10.1016/j.eplepsyres.2021.106766
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发表时间：
2021-09-14
影响因子：
2.2
通讯作者：
Matsuda, Hiroshi
中科院分区：
文献类型：
--
作者：
Shigemoto, Yoko;Sato, Noriko;Matsuda, Hiroshi
目的：以往的研究已经证明了颞叶癫痫（TLE）患者的大脑结构网络异常，使用皮质厚度或灰质（GM）体积。然而，没有研究应用单主题GM网络分析。在这里，我们首先应用基于相似性的单学科GM网络的分析，以个别患者TLE.Materials and Methods：我们招募了51例TLE和单侧海马硬化（22左，29右TLE）和51名年龄和性别匹配的健康对照。从每个受试者的三维T1加权磁共振图像中提取单个受试者的结构网络。在这种方法中，节点被定义为小的皮质区域和边缘表示具有高统计相似性的连接区域。使用图论方法对所构造的图进行了分析。计算了以下全局和局部网络属性：介数中心性、聚类系数和特征路径长度。此外，小世界属性（归一化路径长度λ，归一化聚类系数γ，和小世界网络值σ），并与那些为controls.Results：虽然小世界配置被保留，受损的全球聚类系数观察到在左，右TLE。在区域水平上，左颞叶癫痫患者表现出广泛的集群系数下降超出同侧颞叶和减少的特征路径长度在同侧颞极。另一方面，患者与右颞叶表现出本地化的降低的聚类系数在同侧颞叶。结论：我们的研究结果表明，全球和本地网络属性中断，并向随机网络在TLE患者相比，对照组。左侧TLE患者的这种网络改变比右侧TLE患者更广泛。单一主题GM网络可能有助于更好地了解TLE的病理生理学。
Objective: Previous studies have demonstrated structural brain network abnormalities in patients with temporal lobe epilepsy (TLE) using cortical thickness or gray matter (GM) volume. However, no studies have applied single-subject GM network analysis. Here, we first applied an analysis of similarity-based single-subject GM networks to individual patients with TLE.Materials and methods: We recruited 51 patients with TLE and unilateral hippocampal sclerosis (22 left, 29 right TLE) and 51 age-and gender-matched healthy controls. Single-subject structural networks were extracted from three-dimensional T1-weighted magnetic resonance images for each subject. In this method, nodes were defined as small cortical regions and edges representing connecting regions that have high statistical similarity. The constructed graphs were analyzed using the graph theoretical approach. The following global and local network properties were calculated: betweenness centrality, clustering coefficient, and characteristic path length. In addition, small world properties (normalized path length lambda, normalized clustering coefficient gamma, and small-world network value sigma) were obtained and compared with those for the controls.Results: Although the small-world configurations were retained, impaired global clustering coefficient was observed in left and right TLE. At a regional level, patients with left TLE showed a widespread decrease of the clustering coefficient beyond the ipsilateral temporal lobe and a decreased characteristic path length in the ipsilateral temporal pole. On the other hand, patients with right TLE showed a localized decrease of the clustering coefficient in the ipsilateral temporal lobe.Conclusions: Our findings suggest that global and local network properties disrupted and moved toward randomized networks in TLE patients in comparison to controls. This network alteration was more extensive in left TLE than in right TLE patients. Single-subject GM networks may contribute to a better understanding of the pathophysiology of TLE.