Rosano Caterina, Aizenstein Howard, Brach Jennifer, Longenberger Allison, Studenski Stephanie, Newman Anne B
Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
J Gerontol A Biol Sci Med Sci. 2008 Dec;63(12):1380-8. doi: 10.1093/gerona/63.12.1380.
Our objective was to identify the spatial distribution of focal atrophy within mobility-related brain regions in relationship with quantitative gait characteristics.
Gray matter volume was obtained from 220 older adults (78.0 years old, 63% women, 77% white) for brain regions of five domains: motor (motor, sensorimotor and supplementary areas, basal ganglia, cerebellum), visuospatial attention (inferior and superior posterior parietal lobules), cognitive processing speed/executive control function (dorsolateral prefrontal cortex), memory (hippocampus), and motor imagery (parahippocampus, posterior cingulated cortex) domains. Spatial (step width, step length) and temporal (double support time) gait characteristics were measured using the GaitMat II instrumented walking surface. Multivariable linear regression models were adjusted for demographics, total brain volume, and peripheral (body mass index, ankle-arm index, arthritis, vibratory sensation) and central (markers of diffuse brain structural abnormalities and of brain function) risk factors for gait impairment.
Shorter steps and longer double support times were associated with smaller sensorimotor regions and also with smaller frontoparietal regions within the motor, visuospatial, and cognitive processing speed domains. The associations between wider step and smaller pallidum and inferior parietal lobule were less robust. None of the gait measures were associated with the cerebellum or with regions of the memory or motor imagery domains.
Spatial and temporal characteristics of gait are associated with distinct brain networks in older adults. Addressing focal neuronal losses in these networks may represent an important strategy to prevent mobility disability.
我们的目的是确定与定量步态特征相关的运动相关脑区局灶性萎缩的空间分布。
从220名老年人(78.0岁,63%为女性,77%为白人)获取五个领域脑区的灰质体积:运动(运动区、感觉运动区和辅助运动区、基底神经节、小脑)、视觉空间注意力(顶叶后下小叶和上小叶)、认知处理速度/执行控制功能(背外侧前额叶皮质)、记忆(海马体)和运动想象(海马旁回、后扣带回皮质)领域。使用GaitMat II仪器化步行表面测量空间(步宽、步长)和时间(双支撑时间)步态特征。多变量线性回归模型针对人口统计学、全脑体积以及步态障碍的外周(体重指数、踝臂指数、关节炎、振动觉)和中枢(弥漫性脑结构异常和脑功能标志物)危险因素进行了调整。
步长较短和双支撑时间较长与感觉运动区较小以及运动、视觉空间和认知处理速度领域内的额顶叶区域较小有关。步宽较宽与苍白球和顶叶下小叶较小之间的关联不太显著。没有一种步态测量指标与小脑或记忆或运动想象领域的区域相关。
老年人步态的空间和时间特征与不同的脑网络相关。解决这些网络中的局灶性神经元损失可能是预防行动能力残疾的一项重要策略。