Haoran Zhang , Ning Wang , Chen Yao , Dawei Meng , Jiatai Lin , Hailiang Shen , Qinxiu Cheng , Jinping Xu , Lin Wang
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引用次数: 0
Abstract
Meige Syndrome (MS) is a form of segmental dystonia, categorized into four subtypes. The common and specific neuro-mechanisms among these subtypes remain to be elucidated. Herein, 3D T1-weighted MRI images were obtained from 159 patients with primary MS (31 with MS-I, 92 with MS-II, and 36 with MS-IV). Voxel-based morphometry (VBM), surface-based morphometry (SBM), and causal structural covariance network (CaSCN) were utilized to investigate morphological variations and causal relationships in structural changes across subtypes. The study revealed a decremental trend in gray matter volume (GMV) of the right precentral gyrus (PreCG.R), right calcarine cortex (CAL.R), left parietal association cortex (PAL.L), and left hippocampus (HIP.L) from MS-I to MS-IV, which negatively correlated with BFMDRS scores. The progression of GMV atrophy was followed by a trajectory from HIP.L to PAL.L with disease duration and from PAL.R to HIP.L/CAL.L/PreCG.R with increasing BFMDRS scores. Support vector machine (SVM) analysis indicated that these GMV changes might be served as potential biomarkers for diagnosing MS subtypes, with areas under the curve (AUC) of 0.935, 0.864, and 0.882, respectively. The results suggest that the PreCG.R is a key region affected early in MS, with GMV reductions extending to other brain areas as the disease progresses, indicating a hierarchy of structural brain changes associated with disease duration in MS progression. Our study further provides evidence for the association of MS with extensive gray matter abnormalities.
期刊介绍:
Neuroscience publishes papers describing the results of original research on any aspect of the scientific study of the nervous system. Any paper, however short, will be considered for publication provided that it reports significant, new and carefully confirmed findings with full experimental details.