Cerebellar Volume Measures Differentiate Multiple Sclerosis Fallers from Non-Fallers.

IF 2.8 3区 医学 Q3 NEUROSCIENCES Brain Sciences Pub Date : 2025-01-16 DOI:10.3390/brainsci15010077
Taylor N Takla, Jennie Feldpausch, Erin M Edwards, Shuo Han, Peter A Calabresi, Jerry Prince, Kathleen M Zackowski, Nora E Fritz
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Abstract

Introduction: The cerebellum is a common lesion site in persons with multiple sclerosis (PwMS). Physiologic and anatomic studies have identified a topographic organization of the cerebellum including functionally distinct motor and cognitive areas. In this study, a recent parcellation algorithm was applied to a sample of PwMS and healthy controls to examine the relationships among specific cerebellar regions, fall status, and common clinical measures of motor and cognitive functions.

Methods: Thirty-one PwMS and twenty-nine age- and sex-matched controls underwent an MRI scan and motor and cognitive testing. The parcellation algorithm was applied to all images and divided the cerebellum into 28 regions. Mann-Whitney U tests were used to compare cerebellar volumes among PwMS and controls, and MS fallers and MS non-fallers. Relationships between cerebellar volumes and motor and cognitive function were evaluated using Spearman correlations.

Results: PwMS performed significantly worse on functional measures compared to controls. We found significant differences in volumetric measures between PwMS and controls in the corpus medullare, lobules I-III, and lobule V. Volumetric differences seen between the PwMS and controls were primarily driven by the MS fallers. Finally, functional performance on motor and cognitive tasks was associated with cerebellar volumes.

Conclusions: Using the parcellation tool, our results showed that the volumes of motor and cognitive lobules impact both motor and cognitive performance, and that functional performance and cerebellar volumes distinguishes the MS fallers from non-fallers. Future studies should explore the potential of cerebellar imaging to predict falls in PwMS.

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小脑容量测量区分多发性硬化症患者与非患者。
小脑是多发性硬化症(PwMS)患者常见的病变部位。生理学和解剖学研究已经确定了小脑的地形组织,包括功能上不同的运动和认知区域。在这项研究中,一种最新的分割算法应用于PwMS和健康对照的样本,以检查特定小脑区域、跌倒状态以及运动和认知功能的常见临床测量之间的关系。方法:31名PwMS和29名年龄和性别匹配的对照组接受MRI扫描和运动和认知测试。将分割算法应用于所有图像,将小脑划分为28个区域。采用Mann-Whitney U检验比较PwMS患者和对照组、MS患者和非MS患者的小脑体积。小脑体积与运动和认知功能之间的关系采用Spearman相关性进行评估。结果:与对照组相比,PwMS在功能测量方面表现明显较差。我们发现PwMS组和对照组在髓体、小叶I-III和小叶v的体积测量上存在显著差异。PwMS组和对照组之间的体积差异主要是由MS患者引起的。最后,运动和认知任务的功能表现与小脑体积有关。结论:使用包封工具,我们的研究结果表明,运动小叶和认知小叶的体积影响运动和认知表现,功能表现和小脑体积区分了MS患者和非患者。未来的研究应该探索小脑成像在预测PwMS下降方面的潜力。
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来源期刊
Brain Sciences
Brain Sciences Neuroscience-General Neuroscience
CiteScore
4.80
自引率
9.10%
发文量
1472
审稿时长
18.71 days
期刊介绍: Brain Sciences (ISSN 2076-3425) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes and short communications in the areas of cognitive neuroscience, developmental neuroscience, molecular and cellular neuroscience, neural engineering, neuroimaging, neurolinguistics, neuropathy, systems neuroscience, and theoretical and computational neuroscience. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.
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