Division of Geriatric Medicine, Department of Medicine,
Department of Epidemiology, Graduate School of Public Health, and.
J Gerontol A Biol Sci Med Sci. 2014 Aug;69(8):996-1003. doi: 10.1093/gerona/glt151. Epub 2013 Oct 29.
The cerebellum plays an important role in mobility and cognition. However, it is unclear which regions of the cerebellum are associated with gait speed and information-processing ability in older adults without overt brain damage.
Cross-sectional associations between cerebellar gray matter volumes (GMV), gait speed, and information-processing ability were explored in 231 community-dwelling adults (mean age: 83 years, 48% black, 58% female). We measured gait speed on an automated walkway and information-processing ability on the Digit Symbol Substitution test (DSST). Total and regional cerebellar GMV was measured on 3T-magnetic resonance imaging. Lobar GMV of the cerebellum, obtained by an automated parcellation process, were aggregated based on the cognitive (lobules VI, VII, VIII and crus I, II), sensorimotor (lobules II, IV, V), and vestibular (lobules IX and X) functions ascribed to the cerebellar regions.
Larger cerebellar GMV correlated with faster gait speed and superior DSST scores (both p < .001) independent of age, gender, atrophy, and small vessel disease. After adjusting for age, gender, and atrophy, larger cognitive cerebellar GMV correlated with both faster gait speed (p = .04) and higher DSST scores (p < .001), larger sensorimotor cerebellar GMV correlated significantly with DSST alone (p = .02), and the vestibular cerebellar GMV with neither. The association between cognitive cerebellar GMV and gait speed was no longer significant after adjusting for DSST score in the linear regression models.
The relationship between gait speed and cerebellar GMV is influenced by information-processing ability, and this relationship is stronger in subregions ascribed to cognitive than vestibular or sensorimotor functions.
小脑在运动和认知方面起着重要作用。然而,在没有明显脑损伤的老年人中,尚不清楚小脑的哪些区域与步态速度和信息处理能力相关。
本研究在 231 名居住在社区的成年人(平均年龄:83 岁,48%为黑人,58%为女性)中,探讨了小脑灰质体积(GMV)与步态速度和信息处理能力之间的横断面相关性。我们使用自动步道测量步态速度,使用数字符号替代测试(DSST)测量信息处理能力。在 3T 磁共振成像上测量小脑的总 GMV 和区域 GMV。通过自动分割过程获得的小脑叶 GMV,根据小脑区域的认知(小叶 VI、VII、VIII 和 Crus I、II)、感觉运动(小叶 II、IV、V)和前庭(小叶 IX 和 X)功能进行聚合。
更大的小脑 GMV与更快的步态速度和更高的 DSST 评分相关(均 p <.001),与年龄、性别、萎缩和小血管疾病无关。在调整年龄、性别和萎缩后,更大的认知小脑 GMV 与步态速度(p =.04)和 DSST 评分(p <.001)均呈正相关,更大的感觉运动小脑 GMV 与 DSST 单独相关(p =.02),而前庭小脑 GMV 与两者均不相关。在线性回归模型中,调整 DSST 评分后,认知小脑 GMV 与步态速度之间的关联不再显著。
步态速度与小脑 GMV 之间的关系受信息处理能力的影响,且这种关系在被归因于认知而非前庭或感觉运动功能的子区域中更强。