CAREER: Neuromechanical modeling for gait neurorehabilitation design and prescription

职业：步态神经康复设计和处方的神经力学建模

• 批准号: 2339331
• 负责人: Jessica Allen
• 金额: $ 58.6万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-07-01 至 2029-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2339331&HistoricalAwards=false
• 关键词: CAREER; Neuromechanical; modeling; gait; neurorehabilitation

Restoring the ability to walk is a high priority for rehabilitation in patient populations. Neuromechanical simulations – a computer modeling approach for simulating how the nervous system and body interact to control movement – show promise as a tool to identify the best rehabilitation intervention to improve walking function. However, current simulations often focus on predicting an optimal solution (such as walking faster or more symmetrically) without regard to how this will be achieved. This CAREER projects seeks to develop a new neuromechanical simulation framework that models how patients adapt to walking rehabilitation. The framework will lay the foundation for a new and potentially transformative approach for patient-specific prescription of gait rehabilitation. This CAREER project will also pursue outreach and educational activities to (1) train the next generation of engineers to prioritize clinician and patient perspectives and (2) educate clinicians and patients about the potential of neuromechanical simulations in gait rehabilitation. The investigator’s long-term goal is to develop neuromechanical simulations for clinical decision-making in gait neurorehabilitation. Towards this goal, this CAREER project seeks to develop a novel simulation framework that models the adaptation of neuromuscular control underlying the restoration of functional gait ability. As a proof-of-concept, the investigator will develop this framework on an error-augmentation based gait training intervention that amplifies instability to challenge and retrain walking balance control. The research activities are divided into two interconnected foci. Focus one will capture muscle activity and kinematics from a diverse population - young adults, older adult fallers, and stroke survivors - while walking in the error-augmentation environment. Focus two will develop a simulation framework to model individual-specific adaptation to this environment. This project will first develop a theory-based framework in which neuromuscular control is optimized via exploration to maximize walking balance and minimize effort. The framework will be augmented by incorporating individual-specific muscle coordination impairments and adaptation constraints derived from experiments to better simulate the adaptation process in patient populations.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.

恢复行走能力是患者人群康复的重中之重。神经力学模拟-一种用于模拟神经系统和身体如何相互作用以控制运动的计算机建模方法-显示出作为确定最佳康复干预以改善行走功能的工具的前景。然而，目前的模拟通常专注于预测最佳解决方案（例如走得更快或更对称），而不考虑如何实现这一点。这个CAREER项目旨在开发一个新的神经力学模拟框架，模拟患者如何适应步行康复。该框架将奠定基础的一个新的和潜在的变革性的方法，为患者特定的步态康复处方。该CAREER项目还将开展推广和教育活动，以（1）培训下一代工程师，优先考虑临床医生和患者的观点，（2）教育临床医生和患者关于步态康复中神经机械模拟的潜力。研究者的长期目标是开发神经力学模拟，用于步态神经康复的临床决策。为了实现这一目标，这个CAREER项目旨在开发一个新的模拟框架，模拟神经肌肉控制的适应性恢复功能性步态能力。作为概念验证，研究者将在基于错误增强的步态训练干预上开发此框架，该框架放大不稳定性以挑战和重新训练步行平衡控制。研究活动分为两个相互关联的焦点。Focus One将捕获不同人群的肌肉活动和运动学-年轻人，老年人跌倒者和中风幸存者-同时在错误增强环境中行走。重点二将开发一个模拟框架，模拟个人对这种环境的适应。该项目将首先开发一个基于理论的框架，其中通过探索优化神经肌肉控制，以最大限度地提高步行平衡并最大限度地减少努力。该框架将通过纳入来自实验的个体特定肌肉协调障碍和适应限制来增强，以更好地模拟患者人群的适应过程。该奖项反映了NSF的法定使命，并被认为值得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来支持。