Visscher Rosa M S, Gwerder Michelle, Viehweger Elke, Taylor William R, Brunner Reinald, Singh Navrag B
Department of Health Science & Technology, Laboratory for Movement Biomechanics, Institute for Biomechanics, ETH Zürich, Zürich, Switzerland.
Department of Biomedical Engineering, University of Basel, Basel, Switzerland.
Front Hum Neurosci. 2023 Sep 19;17:1205969. doi: 10.3389/fnhum.2023.1205969. eCollection 2023.
To investigate whether multiple domains of gait variability change during motor maturation and if this change over time could differentiate children with a typical development (TDC) from those with cerebral palsy (CwCP).
This cross-sectional retrospective study included 42 TDC and 129 CwCP, of which 99 and 30 exhibited GMFCS level I and II, respectively. Participants underwent barefoot 3D gait analysis. Age and parameters of gait variability (coefficient of variation of stride-time, stride length, single limb support time, walking speed, and cadence; as well as meanSD for hip flexion, knee flexion, and ankle dorsiflexion) were used to fit linear models, where the slope of the models could differ between groups to test the hypotheses.
Motor-developmental trajectories of gait variability were able to distinguish between TDC and CwCP for all parameters, except the variability of joint angles. CwCP with GMFCS II also showed significantly higher levels of gait variability compared to those with GMFCS I, these levels were maintained across different ages.
This study showed the potential of gait variability to identify and detect the motor characteristics of high functioning CwCP. In future, such trajectories could provide functional biomarkers for identifying children with mild movement related disorders and support the management of expectations.
研究步态变异性的多个领域在运动成熟过程中是否发生变化,以及这种随时间的变化是否能够区分发育正常儿童(TDC)和脑性瘫痪儿童(CwCP)。
这项横断面回顾性研究纳入了42名TDC儿童和129名CwCP儿童,其中分别有99名和30名表现出GMFCS I级和II级。参与者接受了赤足三维步态分析。使用年龄和步态变异性参数(步幅时间、步长、单支撑时间、步行速度和步频的变异系数;以及髋关节屈曲、膝关节屈曲和踝关节背屈的均值标准差)来拟合线性模型,其中不同组模型的斜率可能不同以检验假设。
除关节角度变异性外,步态变异性的运动发育轨迹能够区分TDC和CwCP儿童。GMFCS II级的CwCP儿童与GMFCS I级的儿童相比,步态变异性水平也显著更高,且这些水平在不同年龄阶段保持一致。
本研究表明步态变异性具有识别和检测高功能CwCP儿童运动特征的潜力。未来,此类轨迹可为识别轻度运动相关障碍儿童提供功能性生物标志物,并有助于管理预期。