CAREER: Scientific Investigation of Motor Learning to Improve Gait Rehabilitation in Individuals with Neuromuscular Dysfunction

职业：对运动学习进行科学研究以改善神经肌肉功能障碍患者的步态康复

• 批准号: 2143714
• 负责人: Kristin Morgan
• 金额: $ 51.35万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2027-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2143714&HistoricalAwards=false
• 关键词: CAREER; Scientific; Investigation; Motor; Learning

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2). Societal costs attributed to the treatment and rehabilitation of individuals suffering from neuromuscular dysfunction exceeds over $400 billion annually. A major goal of rehabilitation is to improve or restore an individual’s gait, reduce fall risk, increase mobility, and return independence. Recent advancements in computer modeling can help to develop better personalized rehabilitation plans for injured individuals. The research activities in this project will explore strategies for promoting healthy gait in individuals with neuromuscular impairment. New tools, metrics, and algorithms will be developed to provide guidance for long-term rehabilitative care. Research activities will be leveraged to engage students from underrepresented groups to become the next generation of community-minded researchers. The new knowledge gained from this project will lead to a greater understanding of neuromuscular control and motor learning with the goal of delivering patient-specific rehabilitation programs.This project is a scientific investigation of motor learning that will pioneer innovative models to prescribe optimal patient-specific rehabilitation for people with gait disorders while increasing STEM engagement in students from underrepresented groups. Here, novel split-belt gait protocols are used to modify and influence the adoption of healthy gait dynamics. A laboratory-centered simulation tool will be constructed that will incorporate patient physiology and gait metrics, musculoskeletal simulations, and clinically related cost functions to model the storage of new gait patterns. Then data mining techniques will be employed to sift through experimental and simulated gait data to generate a clinical tool to prescribe customized gait rehabilitations. Finally, the hands-on aspects of the musculoskeletal simulations and modeling techniques will be exploited to create interactive activities to increase STEM knowledge and interest in STEM careers for students from underrepresented groups. Together, these integrated activities will yield new insight about how to assess, monitor, and influence motor learning to drive the larger goal of improving and optimizing individual movement and health while also inspiring the next generation of STEM professionals.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.

该奖项全部或部分根据2021年美国救援计划法案（公法117-2）资助。每年用于治疗和康复神经肌肉功能障碍患者的社会成本超过4 000亿美元。康复的一个主要目标是改善或恢复个人的步态，降低跌倒风险，增加流动性，并恢复独立性。计算机建模的最新进展可以帮助为受伤的个人制定更好的个性化康复计划。该项目的研究活动将探索促进神经肌肉损伤个体健康步态的策略。将开发新的工具、指标和算法，为长期康复护理提供指导。研究活动将被利用来吸引来自代表性不足群体的学生成为下一代具有社区意识的研究人员。从这个项目中获得的新知识将导致对神经肌肉控制和运动学习的更深入的理解，目标是提供针对患者的康复计划。这个项目是对运动学习的科学调查，将开创创新模型，为步态障碍患者提供最佳的患者特定康复，同时增加来自代表性不足群体的学生的STEM参与。在这里，新的分裂带步态协议用于修改和影响健康的步态动力学的采用。将构建一个以实验室为中心的模拟工具，该工具将结合患者生理学和步态指标、肌肉骨骼模拟和临床相关成本函数，以模拟新步态模式的存储。然后，数据挖掘技术将被用来筛选实验和模拟步态数据，以生成一个临床工具，规定定制的步态康复。最后，将利用肌肉骨骼模拟和建模技术的实践方面来创建互动活动，以增加来自代表性不足群体的学生的STEM知识和对STEM职业的兴趣。总之，这些综合活动将产生关于如何评估，监测和影响运动学习的新见解，以推动改善和优化个人运动和健康的更大目标，同时也激励下一代STEM专业人士。该奖项反映了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。