Murtola Tiina, Richards Christopher
Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK.
R Soc Open Sci. 2023 Feb 8;10(2):221453. doi: 10.1098/rsos.221453. eCollection 2023 Feb.
Ageing changes the musculoskeletal and neural systems, potentially affecting a person's ability to perform daily living activities. One of these changes is increased passive stiffness of muscles, but its contribution to performance is difficult to separate experimentally from other ageing effects such as loss of muscle strength or cognitive function. A computational upper limb model was used to study the effects of increasing passive muscle stiffness on reaching performance across the model's workspace (all points reachable with a given model geometry). The simulations indicated that increased muscle stiffness alone caused deterioration of reaching accuracy, starting from the edges of the workspace. Re-tuning the model's control parameters to match the ageing muscle properties does not fully reverse ageing effects but can improve accuracy in selected regions of the workspace. The results suggest that age-related muscle stiffening, isolated from other ageing effects, impairs reaching performance. The model also exhibited oscillatory instability in a few simulations when the controller was tuned to the presence of passive muscle stiffness. This instability is not observed in humans, implying the presence of natural stabilizing strategies, thus pointing to the adaptive capacity of neural control systems as a potential area of future investigation in age-related muscle stiffening.
衰老会改变肌肉骨骼系统和神经系统,可能影响一个人进行日常生活活动的能力。其中一个变化是肌肉的被动僵硬度增加,但其对运动表现的影响在实验上很难与其他衰老效应(如肌肉力量丧失或认知功能下降)区分开来。使用一个计算上肢模型来研究增加被动肌肉僵硬度对模型工作空间(给定模型几何形状可到达的所有点)内伸手动作表现的影响。模拟结果表明,仅肌肉僵硬度增加就会导致伸手准确性下降,从工作空间边缘开始。重新调整模型的控制参数以匹配衰老肌肉特性并不能完全逆转衰老效应,但可以提高工作空间选定区域的准确性。结果表明,与其他衰老效应分离的与年龄相关的肌肉硬化会损害伸手动作表现。当控制器根据被动肌肉僵硬度进行调整时,该模型在一些模拟中还表现出振荡不稳定性。在人类中未观察到这种不稳定性,这意味着存在自然的稳定策略,从而指出神经控制系统的适应能力是未来与年龄相关的肌肉硬化研究的一个潜在领域。