Changes of Cerebral Cortex Thickness in Temporal Lobe Epilepsy by Using Automatic Segmentation Technique via Freesurfer
10.3969/j.issn.1005-5185.2024.09.004
- VernacularTitle:基于Freesurfer自动分割技术评估不同类型颞叶癫痫患者大脑皮层厚度的改变
- Author:
Yanling ZHANG
1
;
Jian LI
;
Mengnan YAN
;
Jinqin LI
;
Bo TIAN
;
Bing CHEN
Author Information
1. 宁夏医科大学临床医学院,宁夏银川 750004
- Keywords:
Epilepsy,temporal lobe;
Magnetic resonance imaging;
Automatic segmentation;
Brain cortical thickness;
Cerebral cortex;
Adult
- From:
Chinese Journal of Medical Imaging
2024;32(9):884-890
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To investigate the changes of cerebral cortex thickness in adult temporal lobe epilepsy(TLE)assessed by Freesurfer automatic segmentation technique.Materials and Methods Eighty-four TLE confirmed by clinical manifestations and electroencephalography from January 2021 to September 2023 in General Hospital of Ningxia Medical University were retrospectively collected,including 32 patients with MRI nonlesional TLE,30 patients with left hippocampal sclerosis,and 22 patients with right hippocampal sclerosis.Fifty volunteers were recruited as the control group.All the ascending axial T1WI three-dimensional magnetization pre-gradient echo scans were performed.Freesurfer software was used to segment the cerebral cortex of T1W images,the cortical thickness values of different types of TLE patients were analyzed and compared.Results Compared with the control group,the cortical thickness of 14 regions in MRI-negative TLE group decreased,mainly located in bilateral frontal lobe and right parietal lobe,and the difference was statistically significant(P＜0.05);cortical thickness decreased in 34 regions in the left hippocampal sclerosis group,mainly located in the bilateral frontal,temporal and parietal lobes,the difference was statistically significant(P＜0.05);the cortical thickness of 27 regions in the right hippocampal sclerosis group decreased,mainly located in the bilateral frontal,parietal lobe and right temporal lobe,and the difference was statistically significant(P＜0.05).Conclusion The automatic segmentation technique can evaluate the thickness changes of different cortical regions in the brain of patients with different types of TLE,which is helpful to further understand the development of TLE and provide value for better treatment or preoperative evaluation.
