MRI of Brain Structure and Function in Multiple Sclerosis with Only Spinal Cord Involved
10.3969/j.issn.1005-5185.2015.10.002
- VernacularTitle:单纯脊髓受累型多发性硬化患者脑结构和脑功能的MRI研究
- Author:
Yi LIU
;
Yongmei LI
;
Chun ZENG
;
Jingjie WANG
;
Hua XIONG
- Publication Type:Journal Article
- Keywords:
Multiple sclerosis;
Spinal cord diseases;
Magnetic resonance imaging;
Resting state;
Image processing,computer-assisted;
Function network
- From:
Chinese Journal of Medical Imaging
2015;(10):725-729
- CountryChina
- Language:Chinese
-
Abstract:
PurposeSpinal cord is one of the most frequently involved sites of multiple sclerosis (MS), which seriously affects the life quality of patients. In this paper, we investigate the application value of voxel-based morphology (VBM) and resting-state magnetic resonance imaging (RS-fMRI) in multiple sclerosis patients with single spinal cord involvement (MS-SSCI).Materials and Methods Three-dimensional T1WI data and RS-fMRI data were acquired from 20 patients with MS-SSCI and 20 normal controls, grey matter volume (GMV), changes of white matter volume (WMV), total intracranial volume (TIV) and local nuclei volume were compared between the two groups using VBM, posterior cingulate cortex (PCC) was regarded as the seed point and the functional connectivity about whole brain was compared between the two groups by using resting-state functional connectivity analysis, the relationships between MS-SSCI structure, function change parameters and expanded disability states scale (EDSS) scores were further explored.Results①Compared with the control group, GMV, WMV, TIV of MS-SSCI group were not significantly reduced, only the volume of some regions (bilateral middle temporal gyrus, left inferior temporal gyrus) showed significant atrophy (P<0.01); MS-SSCI exhibited increased functional connectivity (FC) in the left medial prefrontal cortex, left inferior temporal gyrus, left caudate nucleus and right supplementary motor area (two-sample t test, after AlphaSim correction,P<0.01, voxel size >40).②There was no significant correlation (P>0.05) between MS-SSCI structure change parameters and EDSS; while a significant correlation between EDSS scores and FC was noted in the left inferior temporal gyrus (r=0.633,P<0.05).Conclusion Both structural abnormalities and altered FC with PCC can be detected in MS-SSCI, but only functional parameters are associated with clinical abnormalities, which are more sensitive than microstructural changes.
