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Progressive structural damage in sleep-related hypermotor epilepsy.
Wan, Xinyue; Wang, Weina; Wu, Xintong; Tan, Qiaoyue; Su, Xiaorui; Zhang, Simin; Yang, Xibiao; Li, Shuang; Shao, Hanbing; Yue, Qiang; Gong, Qiyong.
Affiliation
  • Wan X; Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China.
  • Wang W; Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
  • Wu X; Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
  • Tan Q; Department of Neurology, West China Hospital of Sichuan University, Chengdu, China.
  • Su X; Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China.
  • Zhang S; Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China.
  • Yang X; Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China.
  • Li S; Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
  • Shao H; Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China.
  • Yue Q; Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu, China.
  • Gong Q; Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
J Neurosci Res ; 101(9): 1447-1456, 2023 09.
Article in En | MEDLINE | ID: mdl-37183389
ABSTRACT
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Ethnicity Limits: Humans Country/Region as subject: Asia Language: En Journal: J Neurosci Res Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Ethnicity Limits: Humans Country/Region as subject: Asia Language: En Journal: J Neurosci Res Year: 2023 Document type: Article Affiliation country: China