Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany.
Department of Neurology, Center for Movement Disorders and Neuromodulation, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University, Düsseldorf, Germany.
Sci Rep. 2024 Mar 4;14(1):5340. doi: 10.1038/s41598-024-55862-4.
Bradykinesia is a behavioral manifestation that contributes to functional dependencies in later life. However, the current state of bradykinesia indexing primarily relies on subjective, time-averaged categorizations of motor deficits, which often yield poor reliability. Herein, we used time-resolved analyses of accelerometer recordings during standardized movements, data-driven factor analyses, and linear mixed effects models (LMEs) to quantitatively characterize general, task- and therapy-specific indices of motor impairment in people with Parkinson's disease (PwP) currently undergoing treatment for bradykinesia. Our results demonstrate that single-trial, accelerometer-based features of finger-tapping and rotational hand movements were significantly modulated by divergent therapeutic regimens. Further, these features corresponded well to current gold standards for symptom monitoring, with more precise predictive capacities of bradykinesia-specific declines achieved when considering kinematic features from diverse movement types together, rather than in isolation. Herein, we report data-driven, sample-specific kinematic profiles of diverse movement types along a continuous spectrum of motor impairment, which importantly, preserves the temporal scale for which biomechanical fluctuations in motor deficits evolve in humans. Therefore, this approach may prove useful for tracking bradykinesia-induced motor decline in aging populations the future.
运动徐缓是一种行为表现，会导致老年人出现功能依赖。然而，目前的运动徐缓指标主要依赖于对运动缺陷的主观、时间平均分类，这往往导致可靠性较差。在这里，我们使用加速度计记录在标准化运动期间的时间分辨分析、数据驱动的因子分析和线性混合效应模型（LME），定量描述当前正在接受治疗以改善运动徐缓的帕金森病患者（PwP）的一般、任务和治疗特异性运动障碍指标。我们的结果表明，手指敲击和手部旋转运动的基于加速度计的单次试验特征受到不同治疗方案的显著调节。此外，这些特征与当前的症状监测金标准非常吻合，当考虑来自不同运动类型的运动学特征时，具有更精确的运动徐缓特异性下降的预测能力，而不是孤立地考虑。在这里，我们报告了沿着运动障碍连续谱的不同运动类型的基于数据驱动的、样本特异性的运动学特征，重要的是，保留了人类运动缺陷的生物力学波动随时间演变的时间尺度。因此，这种方法在未来可能有助于跟踪老龄化人群中运动徐缓引起的运动下降。
