Feature of grey matter atrophy in relapsing-remitting multiple sclerosis:a voxel-based morphometry Study
10.3760/cma.j.issn.1006-7876.2011.07.006
- VernacularTitle:应用体素的形态学研究复发缓解型多发性硬化患者的全脑灰质萎缩特点
- Author:
Yunyun DUAN
;
Kuncheng LI
;
Yaou LIU
;
Peipeng LIANG
;
Xiuqin JIA
;
Chunshui YU
;
Wen QIN
;
Jing YE
;
Hui SUN
- Publication Type:Journal Article
- Keywords:
Multiple sclerosis,relapsing-remitting;
Brain;
Atrophy;
Organ size;
Magnetic resonance imaging;
Severity of illness index
- From:
Chinese Journal of Neurology
2011;44(7):460-463
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the feature of regional grey matter volume changes in relapsing-remitting multiple sclerosis (RRMS) patients by voxel-based morphometry ( VBM) and presume the possible pathophysiological basis.Methods Conventional magnetic resonance imaging (MRI) and T1-weighted three-dimensional MRI were obtained from 32 RRMS and 32 sex- and age-matched normal controls.The comparison of grey matter volume between the two groups was analyzed by statistical analysis software SPM5 and VBM.A Pearson correlational analysis was used to assess correlation between gre matter loss and disease duration,expanded disability status scale (EDSS) and visible brain lesion volume.Results Compared with normal controls,RRMS patients had extensive bilateral grey matter atrophy in thalami (left 2031 and right 1711),caudate (left 815 and right 1031) and parahippocampal gyrus (left 313 and right 467),as well as several cortical regions in frontal,temporal,parietal,and occipital lobes (t value were between 8.853 and 11.163,all P ＜ 0.01).Regional grey matter loss in bilateral thalami ( r value were - 0.596 on left and were - 0.694 on right) and right caudate ( r = - 0.409 ) were strongly negatively correlated with visible brain lesion volume in RRMS (all P ＜ 0.05 ).Conclusions By means of VBM,extensive grey matter atrophy are found in RRMS patients,especially in deep grey matter.Axonal degeneration secondary to visible brain lesions may be a key pathogenesis of grey matter atrophy in RRMS.
