不同重力条件下各种脊柱通路在人体上肢控制中的作用和调节。

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS PLoS Computational Biology Pub Date : 2025-01-06 eCollection Date: 2025-01-01 DOI:10.1371/journal.pcbi.1012069
Alice Bruel, Lina Bacha, Emma Boehly, Constance De Trogoff, Luca Represa, Gregoire Courtine, Auke Ijspeert
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引用次数: 0

摘要

人类可以在各种物理环境和位置(对应于不同的经验重力)下进行运动,这需要肌肉骨骼系统、神经系统和外部环境的相互作用。神经系统本身由几个相互作用的部分组成,从主要负责运动规划的大脑,到通过感觉反射实现自己的运动控制中心的脊髓(SC)。然而,目前尚不清楚的是,在不同的环境动力学中,类似的运动是否需要在大脑水平上进行适应性调节,还是在脊柱水平上进行校正调节,或者两者兼而有之。在这里,我们通过关注不同重力条件下(大小和方向)的上肢运动控制和使用神经肌肉骨骼模拟工具来解决这个问题。我们将椎骨上正弦指令与模块化SC模型相结合,控制肌肉骨骼模型,以重现不同环境下记录的各种手臂轨迹(运动学和肌电图)。我们首先研究了各种脊柱通路(如拉伸反射)在运动平稳性和抗扰动稳健性中的作用。然后,我们对椎上正弦指令进行了优化,在没有和有固定SC模型的情况下,包括拉伸反射,以重现不同重力条件下的目标轨迹。相反,我们在不同的环境中固定了棘上指令并优化了脊髓突触的强度。在第一个优化上下文中,SC的存在导致更容易优化棘上指令(更快的收敛,更好的性能)。主要的棘上指令调制是在屈肌正弦振幅中发现的。频率,以适应不同的重力量级,振幅。的方向。在第二个优化环境中,脊髓突触强度的调节也显著地再现了轻微重力变化的目标轨迹。我们强调,这两种策略的调制脊椎骨上指令或脊髓拉伸路径可用于控制运动在不同的重力环境。因此,我们的结果支持SC可以辅助重力补偿。
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Role and modulation of various spinal pathways for human upper limb control in different gravity conditions.

Humans can perform movements in various physical environments and positions (corresponding to different experienced gravity), requiring the interaction of the musculoskeletal system, the neural system and the external environment. The neural system is itself comprised of several interactive components, from the brain mainly conducting motor planning, to the spinal cord (SC) implementing its own motor control centres through sensory reflexes. Nevertheless, it remains unclear whether similar movements in various environmental dynamics necessitate adapting modulation at the brain level, correcting modulation at the spinal level, or both. Here, we addressed this question by focusing on upper limb motor control in various gravity conditions (magnitudes and directions) and using neuromusculoskeletal simulation tools. We integrated supraspinal sinusoidal commands with a modular SC model controlling a musculoskeletal model to reproduce various recorded arm trajectories (kinematics and EMGs) in different contexts. We first studied the role of various spinal pathways (such as stretch reflexes) in movement smoothness and robustness against perturbation. Then, we optimised the supraspinal sinusoidal commands without and with a fixed SC model including stretch reflexes to reproduce a target trajectory in various gravity conditions. Inversely, we fixed the supraspinal commands and optimised the spinal synaptic strengths in the different environments. In the first optimisation context, the presence of SC resulted in easier optimisation of the supraspinal commands (faster convergence, better performance). The main supraspinal commands modulation was found in the flexor sinusoid's amplitude, resp. frequency, to adapt to different gravity magnitudes, resp. directions. In the second optimisation context, the modulation of the spinal synaptic strengths also remarkably reproduced the target trajectory for the mild gravity changes. We highlighted that both strategies of modulation of the supraspinal commands or spinal stretch pathways can be used to control movements in different gravity environments. Our results thus support that the SC can assist gravity compensation.

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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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