Abstract

In this prospective case control study, relationship of detailed cerebellar volumetric data and cognition in patients with multiple sclerosis considering falling status using 3 D MRI and network analysis were evaluated. Participants consist of 106 adults with relapsing-remitting multiple sclerosis. Scores of Montreal cognitive assessment test, symbol digit modality Test, nine-hole peg test, berg balance scale test, timed up and go test, timed 25-foot walk test were worse in faller group than non faller group (p < 0.05 for all tests). There was no significant difference in terms of cerebellar lobule volumes between groups. But using artificial intelligence (AI) based network analysis, we brought a new perspective to interpreting the relationship between the cerebellum, cognition, gait, and balance. Overall, data from the study suggest a possible relationship between cerebellar volume changes and cognitive dysfunction through connectivity analysis in patients with multiple sclerosis. Further studies are needed to examine this issue by using connectivity analysis.

摘要

在这项前瞻性病例对照研究中，使用 3D MRI 和网络分析评估了考虑跌倒状态的多发性硬化症患者的详细小脑体积数据与认知的关系。参与者包括 106 名患有复发缓解型多发性硬化症的成年人。跌倒组的蒙特利尔认知评估测试、符号数字模态测试、九孔钉测试、伯格平衡量表测试、计时起身行走测试、计时 25 英尺步行测试的成绩均低于非跌倒组（p < 0.05  ）所有测试）。各组之间的小脑小叶体积没有显着差异。但使用基于人工智能（AI）的网络分析，我们为解释小脑、认知、步态和平衡之间的关系带来了新的视角。总体而言，该研究的数据通过对多发性硬化症患者的连通性分析表明小脑体积变化与认知功能障碍之间可能存在关系。需要进一步研究通过使用连通性分析来检验这个问题。