[1]夏红菲,余先超,唐璐,等.基于体素和表面的形态学测量局灶性癫痫脑结构损害谱系及临床关联研究[J].中国医学物理学杂志,2026,43(9):1162-1170.[doi:DOI:10.3969/j.issn.1005-202X.2026.09.002]
　XIA Hongfei,YU Xianchao,TANG Lu,et al.A voxel- and surface-based morphometry study on the spectrum of brain structural injury and its clinical correlation in focal epilepsy[J].Chinese Journal of Medical Physics,2026,43(9):1162-1170.[doi:DOI:10.3969/j.issn.1005-202X.2026.09.002]
点击复制

基于体素和表面的形态学测量局灶性癫痫脑结构损害谱系及临床关联研究()

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
43卷
期数:
2026年第9期
页码:
1162-1170
栏目:
医学影像物理
出版日期:
2026-09-30

文章信息/Info

Title:
A voxel- and surface-based morphometry study on the spectrum of brain structural injury and its clinical correlation in focal epilepsy
文章编号:
1005-202X（2026）09-1162-09
作者:
夏红菲1; 余先超2; 3; 唐璐1; 倪晓妍1; 赵英红1
1.徐州医科大学医学影像学院， 江苏 徐州 221004；2.四川大学华西公共卫生学院， 四川 成都 610041；3.四川大学华西第四医院放射科，四川 成都 610041
Author(s):
XIA Hongfei1;  YU Xianchao2;  3;  TANG Lu1;  NI Xiaoyan1;  ZHAO Yinghong1
1. School of Medical Imaging, Xuzhou Medical University, Xuzhou 221004, China 2. West China School of Public Health, Sichuan University, Chengdu 610041, China 3. Department of Radiology, West China Fourth Hospital, Sichuan University, Chengdu 610041, China
关键词:
局灶性癫痫; 结构磁共振成像; 基于体素的形态学测量法; 基于表面的形态学测量法
Keywords:
Keywords: focal epilepsy structural magnetic resonance imaging voxel-based morphometry surface-based morphometry
分类号:
R318；R742.1
DOI:
DOI:10.3969/j.issn.1005-202X.2026.09.002
文献标志码:
A
摘要:
目的：探讨伴（TLE-MTS）与不伴（TLE-no）内侧颞叶硬化的颞叶癫痫及额叶癫痫（FLE）脑结构损害谱系的异同，并分析其与临床因素的相关性。方法：基于OpenNeuro筛选102名TLE-MTS、65名TLE-no、54名FLE及68名健康对照。应用基于体素的形态学测量法（VBM）分析与基于表面的形态学测量法（SBM）分析技术分析灰质体积（GMV）、皮层厚度（CT）、脑沟深度（SD）及分形维数（FD）差异，并行临床相关分析。结果：VBM显示3组丘脑和小脑GMV均减低。SBM显示CT共性受损于左侧缘上回，特异性上，TLE-MTS、TLE-no及FLE分别累及左侧海马旁回、左侧后扣带回、左侧岛叶及颞上回；SD方面，TLE-MTS与TLE-no左侧眶额回减小，TLE-no与FLE右侧眶额回增加；FD方面，TLE-MTS与FLE双侧岛叶FD降低，TLE-MTS右侧扣带峡部、TLE-no右侧颞上回FD增加。相关分析表现为TLE-MTS组左侧颞极中部相对灰质体积（rGMV）、中央前后回厚度与抗癫痫药物（ASMs）使用数量负相关，顶上小叶CT与病程呈正相关，而中央后回、缘上回及顶上小叶CT均与发病年龄呈负相关；FLE组右侧丘脑rGMV、中央旁回及额上回CT与ASMs使用数量呈负相关。结论：局灶性癫痫呈现共性受损与起源依赖性损害交织的特征，且随临床变量动态演变，联合VBM与SBM分析能更精准揭示局灶性癫痫的结构损害谱系。
Abstract:
Abstract: Objective To investigate the similarities and differences in the spectrum of brain structural injury among temporal lobe epilepsy with mesial temporal sclerosis (TLE-MTS), temporal lobe epilepsy without mesial temporal sclerosis (TLE-no), and frontal lobe epilepsy (FLE), and to analyze their correlations with clinical variables. Methods A total of 102 patients with TLE-MTS, 65 with TLE-no, 54 with FLE, and 68 healthy controls were screened from the OpenNeuro database. Voxel-based morphometry (VBM) and surface-based morphometry (SBM) were employed to analyze differences in gray matter volume (GMV), cortical thickness (CT), sulcal depth, and fractal dimension (FD), followed by clinical correlation analyses. Results VBM analysis revealed decreased GMV in the thalamus and cerebellum across all 3 groups. SBM analysis showed common CT thinning in the left supramarginal gyrus. For specificity, TLE-MTS, TLE-no, and FLE involved the left parahippocampal gyrus, left posterior cingulate gyrus, and the left insula and superior temporal gyrus, respectively. Regarding sulcal depth, a decrease was observed in the left orbitofrontal gyrus for TLE-MTS and TLE-no, while an increase was found in the right orbitofrontal gyrus for TLE-no and FLE. In terms of FD, TLE-MTS and FLE exhibited decreased FD in the bilateral insula, whereas an increased FD was observed in the right cingulate isthmus for TLE-MTS and the right superior temporal gyrus for TLE-no. Correlation analysis showed that in the TLE-MTS group, relative gray matter volume (rGMV) of the left middle temporal pole and CT of the pre- and postcentral gyri were negatively correlated with the number of anti-seizure medications (ASMs) used. The CT of the superior parietal lobule was positively correlated with disease duration, while the CT of the postcentral gyrus, supramarginal gyrus, and superior parietal lobule were negatively correlated with the age of onset. In the FLE group, the rGMV of the right thalamus and the CT of the paracentral lobule and superior frontal gyrus were negatively correlated with the number of ASMs used. Conclusion Focal epilepsy is characterized by an interplay between common structural injury and origin-dependent impairments, which evolves dynamically with clinical variables. The integration of VBM and SBM provides a more precise characterization of the structural injury spectrum in focal epilepsy.

相似文献/References:

[1]周文,王瑜,肖红兵,等. 基于KPCA算法的阿尔茨海默症辅助诊断[J].中国医学物理学杂志,2018,35(4):404.[doi:DOI:10.3969/j.issn.1005-202X.2018.04.007]
　ZHOU Wen,WANG Yu,XIAO Hongbing,et al. Assisted diagnosis of Alzheimer’s disease based on KPCA algorithm[J].Chinese Journal of Medical Physics,2018,35(9):404.[doi:DOI:10.3969/j.issn.1005-202X.2018.04.007]
[2]周文,王瑜,李长胜,等. LightGBM算法在阿尔茨海默症结构磁共振成像分类中的应用[J].中国医学物理学杂志,2019,36(4):408.[doi:DOI:10.3969/j.issn.1005-202X.2019.04.008]
　ZHOU Wen,WANG Yu,LI Changsheng,et al. Application of LightGBM algorithm in classification of patients with Alzheimer’s disease from structural magnetic resonance images[J].Chinese Journal of Medical Physics,2019,36(9):408.[doi:DOI:10.3969/j.issn.1005-202X.2019.04.008]
[3]谢东东,程永欣,田时雨,等.原发性失眠患者大脑结构磁共振成像研究[J].中国医学物理学杂志,2020,37(11):1380.[doi:DOI:10.3969/j.issn.1005-202X.2020.11.007]
　XIE Dongdong,CHENG Yongxin,TIAN Shiyu,et al.Structural magnetic resonance imaging of primary insomnia patients brian regions[J].Chinese Journal of Medical Physics,2020,37(9):1380.[doi:DOI:10.3969/j.issn.1005-202X.2020.11.007]
[4]计亚荣,王瑜,付常洋,等.基于典型相关分析与双模态数据融合的抑郁症辅助诊断[J].中国医学物理学杂志,2021,38(10):1316.[doi:DOI:10.3969/j.issn.1005-202X.2021.10.024]
　JI Yarong,WANG Yu,FU Changyang,et al.Aided diagnosis of major depressive disorder based on canonical correlation analysis and bimodal data fusion[J].Chinese Journal of Medical Physics,2021,38(9):1316.[doi:DOI:10.3969/j.issn.1005-202X.2021.10.024]
[5]段逸凡,王瑜,付常洋,等.基于双模态磁共振成像和决策层融合的抑郁症辅助诊断[J].中国医学物理学杂志,2022,39(3):378.[doi:DOI:10.3969/j.issn.1005-202X.2022.03.019]
　DUAN Yifan,WANG Yu,FU Changyang,et al.Auxiliary diagnosis of depression based on bimodal magnetic resonance imaging and decision level fusion[J].Chinese Journal of Medical Physics,2022,39(9):378.[doi:DOI:10.3969/j.issn.1005-202X.2022.03.019]

备注/Memo

备注/Memo:
【收稿日期】2026-06-15 【基金项目】国家自然科学基金（82001912）；徐州市科技计划项目-重点研发计划（社会发展）（KC20191） 【作者简介】夏红菲，硕士研究生，研究方向：磁共振成像及应用，E-mail: 3277394032@qq.com 【通信作者】赵英红，硕士生导师，副教授，研究方向：磁共振成像及应用，E-mail: zyh121@163.com
更新日期/Last Update: 2026-09-30