Rock Chase G, Kwak Samuel T, Luo Angela, Yang Xiao, Yun Kristy, Chang Young-Hui
Comparative Neuromechanics Laboratory, School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.
Front Physiol. 2024 May 24;15:1397016. doi: 10.3389/fphys.2024.1397016. eCollection 2024.
Accurate predictive abilities are important for a wide variety of animal behaviors. Inherent to many of these predictions is an understanding of the physics that underlie the behavior. Humans are specifically attuned to the physics on Earth but can learn to move in other environments (e.g., the surface of the Moon). However, the adjustments made to their physics-based predictions in the face of altered gravity are not fully understood. The current study aimed to characterize the locomotor adaptation to a novel paradigm for simulated reduced gravity. We hypothesized that exposure to simulated hypogravity would result in updated predictions of gravity-based movement. Twenty participants took part in a protocol that had them perform vertically targeted countermovement jumps before (PRE), during, and after (POST) a physical simulation of hypogravity. Jumping in simulated hypogravity had different neuromechanics from the PRE condition, with reduced ground impulses ( ≤ .009) and muscle activity prior to the time of landing (i.e., preactivation; ≤ .016). In the 1 g POST condition, muscle preactivation remained reduced ( ≤ .033) and was delayed ( ≤ .008) by up to 33% for most muscles of the triceps surae, reflecting an expectation of hypogravity. The aftereffects in muscle preactivation, along with little-to-no change in muscle dynamics during ground contact, point to a neuromechanical adaptation that affects predictive, feed-forward systems over feedback systems. As such, we conclude that the neural representation, or internal model, of gravity is updated after exposure to simulated hypogravity.
准确的预测能力对于多种动物行为都很重要。许多此类预测的内在要求是理解行为背后的物理学原理。人类特别适应地球上的物理学规律,但也能学会在其他环境(如月球表面)中行动。然而,面对重力改变时,他们基于物理学的预测所做的调整尚未完全被理解。当前的研究旨在描述对一种模拟低重力新范式的运动适应情况。我们假设,暴露于模拟低重力环境会导致基于重力的运动预测得到更新。20名参与者参与了一项实验方案,让他们在低重力物理模拟之前(PRE)、期间和之后(POST)进行垂直目标反向运动跳跃。在模拟低重力环境中跳跃与PRE条件下具有不同的神经力学特征,着地前的地面冲量减小(≤.009),肌肉活动也减小(即预激活;≤.016)。在1g的POST条件下,肌肉预激活仍然降低(≤.033),并且对于小腿三头肌的大多数肌肉,预激活延迟(≤.008)高达33%,这反映了对低重力的预期。肌肉预激活的后效应,以及地面接触期间肌肉动力学几乎没有变化,表明一种神经力学适应,它影响预测性的前馈系统而非反馈系统。因此,我们得出结论,在暴露于模拟低重力环境后,重力的神经表征或内部模型会得到更新。