Laboratory for Early Markers of Neurodegeneration (LEMON), Center for the Study of Movement, Cognition, and Mobility (CMCM), Neurological Institute, Tel Aviv Sourasky Medical Center, Israel; Department of Neurology, Sackler School of Medicine, Tel Aviv University, Israel; Sagol School of Neuroscience, Tel Aviv University, Israel.
Aix-Marseille Univ, CNRS, CRMBM, Marseille, France; APHM, Hôpital de la Timone, CEMEREM, Marseille, France.
Gait Posture. 2021 Oct;90:99-105. doi: 10.1016/j.gaitpost.2021.08.012. Epub 2021 Aug 18.
To investigate cerebellar lobule atrophy patterns in elderly fallers (EFs) and their association with gait and cognitive performance.
Cognitive impairments, gait, and balance deficits are major risk factors for falls in older adults, however, their neural fingerprints remain poorly understood. Recent evidence from neuroimaging studies highlight the role of the cerebellum in both sensorimotor and cognitive networks, suggesting that it may contribute to fall risk.
Fourteen EFs (mean age ± SD = 78 ± 1.5 yrs.) and 20 healthy controls (HCs) (mean age ± SD = 69.6 ± 1.3 yrs.) underwent a 3 T MRI scan obtaining 3D T1-weighted images, cognitive, and gait assessments. Cerebellar lobule segmentation was performed, and the obtained cerebellar lobules volumes were adjusted for intracranial volume (ICV). The relationship between lobules volumes, gait, and cognitive performance scores was assessed using hierarchical multiple linear regression adjusted for age and gender.
EFs exhibited lower cerebellar volumes in the posterior cerebellum, lobules V, VI, VIIB, VIIIA, VIIIB, and Crus II, and significantly higher volumes in the anterior cerebellum and lobule IV (p = 0.018 and p = 0.046) compared to HCs. In EFs, lobule V, VI, VIIB, VIIIA, VIIIB, and anterior cerebellum volumes were found to be independent predictors of usual walking (UW) gait speed, dual-task (DT) gait speed, mini Best, MOCA, CTTa, and CTTb (p < 0.05).
The observed patterns of cerebellar lobule atrophy and their associations with motor and cognitive performance scores suggest that cerebellar atrophy contributes to the pathophysiology of fall risk in EFs.
探究老年跌倒者(EFs)小脑叶萎缩模式及其与步态和认知表现的关系。
认知障碍、步态和平衡缺陷是老年人跌倒的主要危险因素,但它们的神经指纹仍知之甚少。来自神经影像学研究的新证据强调了小脑在感觉运动和认知网络中的作用,表明小脑可能有助于跌倒风险。
14 名 EF(平均年龄±标准差=78±1.5 岁)和 20 名健康对照者(HCs)(平均年龄±标准差=69.6±1.3 岁)接受了 3T MRI 扫描,获得了 3D T1 加权图像、认知和步态评估。对小脑叶进行分割,并对获得的小脑叶体积进行了颅内体积(ICV)调整。使用分层多元线性回归,根据年龄和性别进行调整,评估了小脑叶体积与步态和认知表现评分之间的关系。
EF 组在后小脑、叶 V、VI、VIIB、VIIIA、VIIIB 和 Crus II 区表现出较低的小脑体积,在前小脑和叶 IV 区表现出较高的小脑体积(p=0.018 和 p=0.046)。在 EF 组中,叶 V、VI、VIIB、VIIIA、VIIIB 和前小脑体积是常规行走(UW)步态速度、双重任务(DT)步态速度、Mini Best、MOCA、CTTa 和 CTTb 的独立预测因子(p<0.05)。
观察到的小脑叶萎缩模式及其与运动和认知表现评分的关系表明,小脑萎缩有助于 EF 跌倒风险的病理生理学。