Discovery of the Neural Drivers Underlying Injury-Risk Biomechanics

损伤风险生物力学背后的神经驱动因素的发现

• 批准号: 10404593
• 负责人: Dustin Robert Grooms
• 金额: $ 17.77万
• 依托单位: OHIO UNIVERSITY ATHENS
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-15 至 2024-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10404593
• 关键词: 3-Dimensional; Address; Adolescent; Adult; Affect; Anterior Cruciate Ligament; Attenuated; Bilateral; Biofeedback; Biomechanics; Brain; Cerebellum; Child; Clinical; Clinical Trials; Cognitive; Coupled; Data; Degenerative polyarthritis; Development; Effectiveness; Event; Failure; Female; Foundations; Health; Health Care Costs; Immersion; Impairment; Incidence; Injury; Instruction; Intervention; Joints; Knee; Knee Injuries; Knee joint; Knowledge; Laboratories; Lead; Life; Ligaments; Lower Extremity; Mechanics; Medical Care Costs; Methods; Mission; Motion; Motor; Movement; Musculoskeletal Diseases; Neuraxis; Neuronal Plasticity; Outcome; Output; Pain; Pattern; Persons; Physical activity; Positioning Attribute; Prevalence; Prevention program; Prevention strategy; Process; Public Health; Publishing; Quality of life; Research; Rest; Risk; Risk Assessment; Risk Factors; Secondary to; Sensory; Sports; Standardization; Techniques; Technology; Testing; Time; Training; United States National Institutes of Health; Visual; Work; Youth; active lifestyle; anterior cruciate ligament injury; base; cingulate cortex; cognitive process; disability; frontal lobe; high risk; high risk population; improved; injury prevention; innovation; instrumentation; joint loading; kinematics; mortality; motor control; motor learning; musculoskeletal injury; neuroimaging; neuromuscular; neuromuscular training; neuroregulation; novel; physical inactivity; prevent; prospective; relating to nervous system; simulation; technology development; therapeutic target; virtual reality; virtual reality environment; virtual reality simulator; visual motor; young adult

1 Project Summary/Abstract 2 Anterior cruciate ligament (ACL) injury is a debilitating condition that results in consistent knee degeneration 3 and reduced physical activity capacity, with cumulative health care costs exceeding several billion dollars per 4 annum. The most common mechanism of ACL injury is without player to player contact (termed non-contact) 5 and secondary to motor coordination errors that result in injurious knee joint loading. As such, the current 6 standard for injury prevention is neuromuscular or movement training to correct resultant specific injury-risk 7 mechanics in controlled settings. However, injury reduction strategies have not achieved sufficient efficacy due 8 to inadequate targeting of central nervous system contributions to the motor errors that may underlie and 9 propagate injury-risk in ecologically valid settings. Our published prospective longitudinal data, and preliminary 10 ecologically valid sport-specific virtual reality data, indicates that sensorimotor brain activity underly ACL injury- 11 risk. Thus, the objective of this application is to determine the brain activity associated with injury-risk motor 12 control in standard and ecologically valid sport-specific virtual reality settings. Our preliminary data inform 13 our central hypothesis that those with injury-risk movement patterns rely on a visual and cognitive-motor neural 14 activation strategy, that is further accentuated in ecologically valid sport virtual reality. The proposed research is 15 innovative because it represents a new and substantial departure from prior work that focused primarily on 16 biomechanical outcomes, to now determine the neural activity propagating injury-risk knee motor control. A key 17 breakthrough of this proposal is the biomechanical instrumentation of knee motor control error in real-time during 18 neuroimaging. The expected outcomes from this observational trial will be the identification of the underlying 19 knee motor control neural activity related to ACL injury-risk biomechanics. Successful completion of the proposed 20 Aims will strategically position us to develop a competitive R01 clinical trial application that assesses novel 21 neuromuscular training to target the neural processes identified by this proposal. Specifically, guided by the 22 neural activation strategies identified herein, we will refine prevention programs using novel biofeedback 23 methods, clinical technologies, and motor learning principles to facilitate adaptive brain function that reduces 24 injury incidence. Thus, avoiding the lifelong pain, osteoarthritis, and physical activity limitations, directly aligning 25 with NIH initiatives to reduce injury and physical inactivity in youth and adults, which is the fourth leading cause 26 of global mortality. 27 28

1项目摘要/摘要