Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, USA.
Department of Advanced Biomedical Sciences, University 'Federico II', Naples, Italy.
J Neurol Neurosurg Psychiatry. 2017 Dec;88(12):1065-1072. doi: 10.1136/jnnp-2017-316448. Epub 2017 Aug 26.
To investigate global and lobular cerebellar volumetries in patients with progressive multiple sclerosis (MS), testing the contribution of cerebellar lobular atrophy to both motor and cognitive performances.
Eighty-two patients with progressive MS and 46 healthy controls (HC) were enrolled in this cross-sectional study. Clinical evaluation included motor and cognitive testing: Expanded Disability Status Scale, cerebellar Functional System score, Timed 25-Foot Walk Test, 9-Hole Peg Test (9-HPT), Symbol Digit Modalities Test (SDMT), Brief Visuospatial Memory Test-Revised (BVMT) and California Verbal Learning Test II (CVLT). Cerebellar volumes were automatically obtained using the Spatially Unbiased Infratentorial Toolbox. A hierarchical multiple linear regression analysis was performed to assess the relationship between MRI variables of supratentorial and cerebellar damage (grey matter fraction, T2 lesion volume, metrics of cerebellar atrophy and cerebellar lesion volume) and motor/cognitive scores.
Patients with MS exhibited lower cerebellar volumes compared with HC. Regression analysis showed that cerebellar metrics accounted for extra variance in both motor and cognitive performances, with cerebellar lesion volume, cerebellar Lobules VI, Crus I and VIIIa atrophy being independent predictors of 9-HPT, SDMT, BVMT and CVLT performances.
Atrophy of specific cerebellar lobules explains different aspects of motor and cognitive disability in patients with progressive MS. Investigation of cerebellar involvement provides further insight into the pathophysiological basis of clinical disability in progressive MS.
研究进展性多发性硬化症(MS)患者的全脑和小脑叶体积,检验小脑叶萎缩对运动和认知表现的影响。
本横断面研究纳入了 82 例进展性 MS 患者和 46 名健康对照者(HC)。临床评估包括运动和认知测试:扩展残疾状况量表、小脑功能系统评分、定时 25 英尺步行测试、9 孔钉测试(9-HPT)、符号数字模态测试(SDMT)、简易视觉空间记忆测试修订版(BVMT)和加利福尼亚语言学习测试第二版(CVLT)。小脑体积使用空间无偏下脑区工具箱自动获得。采用分层多元线性回归分析评估幕上和小脑损伤的 MRI 变量(灰质分数、T2 病变体积、小脑萎缩指标和小脑病变体积)与运动/认知评分之间的关系。
MS 患者的小脑体积明显小于 HC。回归分析显示,小脑指标可解释运动和认知表现的额外差异,小脑病变体积、小脑 VI 叶、I 脑桥脚和 VIIIa 叶萎缩是 9-HPT、SDMT、BVMT 和 CVLT 表现的独立预测因子。
特定小脑叶的萎缩解释了进展性 MS 患者运动和认知障碍的不同方面。对小脑受累的研究为进展性 MS 患者临床残疾的病理生理学基础提供了更深入的认识。