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能量限制决定猕猴伸手运动轨迹的选择。

Energy Constraints Determine the Selection of Reaching Movement Trajectories in Macaque Monkeys.

作者信息

Jana Shrabasti, Condro Lucio, Barthélemy Frédéric V, Ito Junji, Riehle Alexa, Grün Sonja, Brochier Thomas

机构信息

Institut de Neurosciences de la Timone (INT), UMR 7289, CNRS, Aix-Marseille Université, Marseille 13005, France.

Institute for Advanced Simulation (IAS-6) and JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich 52425, Germany.

出版信息

eNeuro. 2025 Oct 10;12(10). doi: 10.1523/ENEURO.0385-24.2025. Print 2025 Oct.

Abstract

Reaching movements, while seemingly simple, involve complex motor control mechanisms that select specific trajectories from infinite possibilities. Despite inherent variability in volitional movements, both humans and monkeys frequently exhibit stereotyped trajectories. The literature has offered numerous explanations for invariant trajectory shapes, including a common planning space in hand space or joint space, as well as factors like kinetic energy (KE) minimization and sensory feedback. However, since most studies have relied on single-session data, crucial insights into the motor principles guiding trajectory selection and their evolution through extended practice remain underexplored. This study fills this gap by investigating how specific trajectories are selected and evolve with practice across multiple sessions, using data from two rhesus monkeys (one male, one female) performing a reaching task in a biomechanically constrained 2D setup. Our behavioral study challenges the idea of a common planning space, revealing instead a significant influence of KE on trajectory shapes. Through a novel biomechanical modeling, we quantified KE for a wide range of trajectory shapes. We discovered that trajectory selection and evolution are not simply about minimizing KE or achieving straight paths. Instead, the monkeys' motor systems appear to prioritize maintaining a "safe KE range," where slight changes in trajectory shapes have minimal impact on energy expenditure. These findings provide new insights into the adaptive motor control strategies, suggesting that trajectory selection involves balancing energy efficiency and flexibility. Our study enhances the understanding of trajectory selection principles, with implications for rehabilitation strategies, robotics, and broader study of motor control mechanisms.

摘要

伸手够物的动作看似简单,实则涉及复杂的运动控制机制,这些机制能从无限可能性中选择特定轨迹。尽管随意运动存在内在变异性,但人类和猴子经常表现出刻板的轨迹。文献中对不变轨迹形状提出了众多解释,包括手部空间或关节空间中的共同规划空间,以及动能(KE)最小化和感觉反馈等因素。然而,由于大多数研究依赖单时段数据,对于指导轨迹选择的运动原理及其在长期练习中的演变的关键见解仍未得到充分探索。本研究通过使用两只恒河猴(一只雄性,一只雌性)在生物力学受限的二维设置中执行伸手够物任务的数据,研究特定轨迹如何在多个时段的练习中被选择和演变,填补了这一空白。我们的行为研究挑战了共同规划空间的观点,相反揭示了动能对轨迹形状的重大影响。通过一种新颖的生物力学建模,我们对广泛的轨迹形状量化了动能。我们发现轨迹选择和演变并非仅仅是为了最小化动能或实现直线路径。相反,猴子的运动系统似乎优先维持一个“安全动能范围”,在这个范围内轨迹形状的微小变化对能量消耗影响最小。这些发现为适应性运动控制策略提供了新见解,表明轨迹选择涉及能量效率和灵活性的平衡。我们的研究增进了对轨迹选择原则的理解,对康复策略、机器人技术以及更广泛的运动控制机制研究具有启示意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdfd/12528833/3c06c81d8958/eneuro-12-ENEURO.0385-24.2025-g001.jpg

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