Mylius Veit, Zenev Elisabeth, Brook Caroline S, Brugger Florian, Maetzler Walter, Gonzenbach Roman, Paraschiv-Ionescu Anisoara
Department of Neurology, Center for Neurorehabilitation, 7317 Valens, Switzerland.
Department of Neurology, Philipps University, 35043 Marburg, Germany.
Brain Sci. 2024 Jun 22;14(7):625. doi: 10.3390/brainsci14070625.
Imbalance and falls in patients with Parkinson's disease (PD) do not only reduce their quality of life but also their life expectancy. Aging-related symptoms as well as disease-specific motor and non-motor symptoms contribute to these conditions and should be treated when appropriate. In addition to an active lifestyle, advanced exercise training is useful and effective, especially for less medically responsive symptoms such as freezing of gait and postural instability at advanced stages. As treadmill training in non-immersive virtual reality, including dual tasks, significantly reduced the number of falls in PD patients, the mechanism(s) explaining this effect should be further investigated. Such research could help to select the most suitable patients and develop the most effective training protocols based on this novel technology. Real-life digital surrogate markers of mobility, such as those describing aspects of endurance, performance, and the complexity of specific movements, can further improve the quality of mobility assessment using wearables.
帕金森病（PD）患者的失衡和跌倒不仅会降低他们的生活质量，还会缩短预期寿命。与衰老相关的症状以及特定疾病的运动和非运动症状会导致这些情况，应在适当的时候进行治疗。除了积极的生活方式外，先进的运动训练是有用且有效的，特别是对于晚期医学反应较差的症状，如步态冻结和姿势不稳。由于非沉浸式虚拟现实中的跑步机训练，包括双重任务，显著减少了PD患者的跌倒次数，因此应进一步研究解释这种效果的机制。此类研究有助于选择最合适的患者，并基于这项新技术制定最有效的训练方案。现实生活中的移动数字替代标志物，如描述耐力、表现和特定运动复杂性等方面的标志物，可以进一步提高使用可穿戴设备进行移动性评估的质量。
