Collaborative Research: Deconstructing the contributions of muscle intrinsic mechanics to the control of locomotion using a novel Muscle Avatar approach

合作研究：使用新颖的肌肉化身方法解构肌肉内在力学对运动控制的贡献

• 批准号: 2016049
• 负责人: Monica Daley
• 金额: $ 54.93万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2016049&HistoricalAwards=false
• 关键词: Collaborative; Research; Deconstructing; contributions; muscle

Moving animals achieve impressive athletic feats of endurance, speed, and agility in complex environments. Animal locomotion is particularly impressive in contrast to that of human-engineered machines. The stability, agility and energy economy of current robots, prostheses and exoskeletons remains poor compared to animals. This pronounced gap between animal performance and technology stems, in part, from fundamental gaps in the understanding of muscle physiology and mechanical function. Muscle is the only actively controlled tissue in animal musculoskeletal systems, and therefore plays a central role in enabling and controlling movement. Yet, developments over the past 20 years have led to growing recognition that important problems in muscle physiology and movement sciences remain unsolved and the theoretical foundation of the field remains incomplete. In particular, the ability to model and predict muscle function under dynamic and perturbed locomotor conditions remains poor. This project will combine innovative experimental techniques with modeling approaches to develop new muscle models that can explain and predict muscle movement under a broad range of conditions. The findings have potential to transform numerous fields— enabling neuroscientists, biologists, clinicians and biomedical engineers to ask questions about human and animal behavior, control of motion, function of muscles and bones, and capacity of the nervous system and muscles to change. The research team will collaborate with colleagues in clinical and engineering fields to translate the findings into applications in human rehabilitation, treatment of disease and injury, and the design and control of assistive technology such as prosthetics and exoskeleton devices.In the field of animal neuromechanics, a pronounced gap exists between ‘top down’ approaches — those that focus on whole-animal behavior but lack insight into underlying mechanisms— vs ‘bottom-up’ approaches — those that characterize mechanisms but lack insight into their contributions to animal behavior. The team will develop new tools to bridge this gap: 1) predictive muscle models that include intrinsic viscoelastic properties; and 2) experimental approaches that integrate across levels. This project’s novel ‘muscle avatar’ approach will help bridge this gap, and enable rigorous analysis of intrinsic muscle property and neural activation contributions to control of locomotion. Aim 1 tests the ability of the muscle avatar approach to replicate steady and perturbed in vivo work loop patterns in mouse and guinea fowl muscles. In Aim 2, in vivo muscle strain, activation, and force will be measured during steady and perturbed running in guinea fowl muscles, and the muscle avatar will be used to quantitatively assess how intrinsic muscle properties and neural drive each contribute to stabilizing responses. In Aim 3, alternative muscle models will be developed, and the ability of each model to predict in vivo muscle function in high strain and perturbed contraction conditions will be compared. Computationally tractable muscle models are essential for closed loop neuromechanical simulations of locomotion, which are increasingly used to understand how muscle function and sensorimotor control change in response to aging, injury and neuromuscular disorders. The findings could inform clinical rehabilitation strategies and the design of assistive devices.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

移动的动物在复杂的环境中取得了令人印象深刻的耐力、速度和敏捷性，与人类工程机器相比，动物的运动尤其令人印象深刻，但与人类工程机器相比，当前的机器人、假肢和外骨骼的稳定性、敏捷性和能源经济性仍然较差。动物的表现和技术之间的这种明显差距部分源于对肌肉生理学和机械功能理解的根本差距。肌肉是动物肌肉骨骼系统中唯一主动控制的组织，因此发挥作用。然而，过去 20 年的发展使人们越来越认识到，肌肉生理学和运动科学中的重要问题仍未解决，该领域的理论基础仍然不完整，特别是建模能力。在动态和扰动运动条件下预测肌肉功能仍然很差，该项目将采用创新的实验技术和建模方法来开发新的肌肉模型，这些模型可以解释和预测各种条件下的肌肉运动，这些发现有可能改变许多领域。使神经科学家，生物学家、竞争对手和生物医学工程师将提出有关人类和动物行为、运动控制、肌肉和骨骼功能以及神经系统和肌肉变化能力的问题。研究团队将与临床和工程领域的同事合作进行翻译。这些发现应用于人类康复、疾病和损伤的治疗以及假肢和外骨骼设备等辅助技术的设计和控制。在动物神经力学领域，“自上而下”的方法之间存在明显的差距——那些专注于整个动物的行为但是缺乏对潜在机制的洞察——与“自下而上”的方法相比——那些描述机制但缺乏对其对动物行为的贡献的洞察。该团队将开发预测性新工具来弥补这一差距：1）包含内在粘弹性特性的肌肉模型； 2）跨层次整合的实验方法将有助于弥补这一差距，并能够严格分析内在肌肉特性和神经激活对运动控制的贡献。目标 1 测试肌肉化身的能力。方法在小鼠和珍珠鸡肌肉中复制稳定和扰动的体内工作循环模式在目标 2 中，将在珍珠鸡肌肉稳定和扰动运行期间测量体内肌肉应变、激活和力，并使用肌肉化身。旨在评估内在肌肉特性和神经驱动如何各自有助于稳定反应。在目标 3 中，将定量开发替代肌肉模型，并且每个模型预测高应变和扰动收缩条件下的体内肌肉功能的能力。计算可处理的肌肉模型对于运动的闭环神经力学模拟至关重要，它越来越多地用于了解肌肉功能和感觉运动控制如何响应衰老、损伤和神经肌肉疾病而变化。这些发现可以为临床康复策略和设计提供信息。这反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

A century of comparative biomechanics: emerging and historical perspectives on an interdisciplinary field

比较生物力学的一个世纪：跨学科领域的新兴视角和历史视角

• DOI: 10.1242/jeb.245876
• 发表时间: 2023-04
• 期刊: Journal of Experimental Biology
• 影响因子: 2.8
• 作者: Patek, S. N.;Daley, Monica A.;Sane, Sanjay P.
• 通讯作者: Sane, Sanjay P.

Kinematic Trajectories in Response to Speed Perturbations in Walking Suggest Modular Task-Level Control of Leg Angle and Length

响应步行速度扰动的运动轨迹建议对腿部角度和长度进行模块化任务级控制

• DOI: 10.1093/icb/icac057
• 发表时间: 2022-05
• 期刊: Integrative And Comparative Biology
• 影响因子: 2.6
• 作者: Schwaner, M. J.;Nishikawa, K. C.;Daley, M. A.
• 通讯作者: Daley, M. A.

Understanding muscle function during perturbed in vivo locomotion using a muscle avatar approach

使用肌肉化身方法了解体内运动扰动期间的肌肉功能

• DOI: 10.1242/jeb.244721
• 发表时间: 2023-07
• 期刊: Journal of Experimental Biology
• 影响因子: 2.8
• 作者: Rice, Nicole;Bemis, Caitlin M.;Daley, Monica A.;Nishikawa, Kiisa
• 通讯作者: Nishikawa, Kiisa

Editorial: Comparative neuromechanical circuits of the sensorimotor system

社论：感觉运动系统的比较神经机械回路

• DOI: 10.3389/fnint.2022.975948
• 发表时间: 2022-07
• 期刊: Frontiers in Integrative Neuroscience
• 影响因子: 3.5
• 作者: Nichols, T. Richard;Daley, Monica A.
• 通讯作者: Daley, Monica A.

Not solely a motor: the role of muscles in sensory mechanisms and integrative control

不仅仅是运动：肌肉在感觉机制和综合控制中的作用

• DOI: 10.1098/rspb.2022.1491
• 发表时间: 2022-11
• 期刊: Proceedings of the Royal Society B: Biological Sciences
• 作者: Schwaner; M. J.
• 通讯作者: M. J.