Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China.
Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
J Neurosci Res. 2023 Sep;101(9):1447-1456. doi: 10.1002/jnr.25203. Epub 2023 May 14.
This study aimed to explore the alterations in gray matter volume (GMV) based on high-resolution structural data and the temporal precedence of structural alterations in patients with sleep-related hypermotor epilepsy (SHE). After preprocessing of T1 structural images, the voxel-based morphometry and source-based morphometry (SBM) methods were applied in 60 SHE patients and 56 healthy controls to analyze the gray matter volumetric alterations. Furthermore, a causal network of structural covariance (CaSCN) was constructed using Granger causality analysis based on structural data of illness duration ordering to assess the causal impact of structural changes in abnormal gray matter regions. The GMVs of SHE patients were widely reduced, mainly in the bilateral cerebellums, fusiform gyri, the right angular gyrus, the right postcentral gyrus, and the left parahippocampal gyrus. In addition to those regions, the results of the SBM analysis also found decreased GMV in the bilateral frontal lobes, precuneus, and supramarginal gyri. The analysis of CaSCN showed that along with disease progression, the cerebellum was the prominent node that tended to affect other brain regions in SHE patients, while the frontal lobe was the transition node and the supramarginal gyrus was the prominent node that may be easily affected by other brain regions. Our study found widely affected regions of decreased GMVs in SHE patients; these regions underlie the morphological basis of epileptic networks, and there is a temporal precedence relationship between them.
本研究旨在探讨睡眠相关运动性癫痫（SHE）患者基于高分辨率结构数据的灰质体积（GMV）变化以及结构改变的时间顺序。在 T1 结构图像预处理后，我们采用基于体素的形态测量学（VBM）和基于源的形态测量学（SBM）方法，对 60 例 SHE 患者和 56 名健康对照者的灰质体积变化进行分析。此外，我们还基于疾病持续时间顺序的结构数据，使用格兰杰因果分析构建结构协方差的因果网络（CaSCN），以评估异常灰质区域结构变化的因果影响。SHE 患者的 GMV 广泛减少，主要在双侧小脑、梭状回、右侧角回、右侧中央后回和左侧海马旁回。除了这些区域外，SBM 分析的结果还发现双侧额叶、楔前叶和缘上回的 GMV 减少。CaSCN 的分析表明，随着疾病的进展，小脑是 SHE 患者中倾向于影响其他脑区的突出节点，而额叶是过渡节点，缘上回是容易受到其他脑区影响的突出节点。我们的研究发现 SHE 患者 GMV 减少的广泛影响区域；这些区域是癫痫网络的形态学基础，它们之间存在时间先后顺序关系。
