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
基本信息
- 批准号:10208101
- 负责人:
- 金额:$ 22.4万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:3-DimensionalAddressAdolescentAdultAffectAnterior Cruciate LigamentAttenuatedBilateralBiofeedbackBiomechanicsBrainCerebellumChildClinicalClinical TrialsCognitiveCoupledDataDegenerative polyarthritisDevelopmentEffectivenessEventFailureFemaleFoundationsHealthHealth Care CostsImmersionImpairmentIncidenceInjuryInstructionInterventionJointsKneeKnee InjuriesKnee jointKnowledgeLaboratoriesLeadLifeLigamentsLower ExtremityMechanicsMedical Care CostsMethodsMissionMotionMotorMovementMusculoskeletal DiseasesNeuraxisNeuronal PlasticityOutcomeOutputPainPatternPersonsPhysical activityPositioning AttributePrevalencePrevention programPrevention strategyProcessPublic HealthPublishingQuality of lifeResearchRestRiskRisk AssessmentRisk FactorsSecondary toSensorySportsStandardizationStructureTechniquesTechnologyTestingTimeTrainingUnited States National Institutes of HealthVisualWorkYouthactive lifestyleanterior cruciate ligament injurybasecingulate cortexcognitive processdisabilityfrontal lobehigh riskhigh risk populationimprovedinjury preventioninnovationinstrumentationjoint loadingkinematicsmortalitymotor controlmotor learningmusculoskeletal injuryneuroimagingneuromuscularneuromuscular trainingneuroregulationnovelphysical inactivitypreventprospectiverelating to nervous systemsimulationtechnology developmenttherapeutic targetvirtual realityvirtual reality environmentvirtual reality simulatorvisual motoryoung adult
项目摘要
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个项目摘要/摘要
2前交叉韧带(ACL)损伤是一种令人衰弱的疾病,导致膝盖变性一致
3和降低体育活动能力,累计医疗保健成本超过数十亿美元
4年。 ACL伤害最常见的机制是没有玩家接触球员(称为非接触)
5和继发于运动协调错误,导致膝关节负荷有害。因此,电流
6预防伤害的标准是神经肌肉或运动训练,以纠正导致的特定损伤风险
7机械在受控设置中。但是,减少伤害策略尚未达到足够的效力
8不足以靶向中枢神经系统对可能构成的运动错误的贡献
9在生态有效的环境中传播损伤风险。我们已发表的前瞻性纵向数据和初步
10个生态有效的运动特异性虚拟现实数据,表明ACL损伤的感觉运动大脑活动 -
11风险。因此,该应用的目的是确定与损伤风险电机相关的大脑活动
12在标准和生态上有效的运动特异性虚拟现实设置中控制。我们的初步数据告知
13我们的中心假设是那些具有损伤风险运动模式的人依赖于视觉和认知运动神经
14激活策略,这在生态上有效的运动虚拟现实中进一步强调了。拟议的研究是
15创新性,因为它代表了与先前的工作的新事物,主要是重点是
16生物力学结果,现在确定传播损伤风险膝盖运动控制的神经活动。钥匙
17该提案的突破是实时的膝盖运动控制错误的生物力学仪器
18神经影像学。这项观察性试验的预期结果将是对基础的识别
与ACL损伤风险生物力学有关的19膝运动控制神经活动。成功完成拟议的
20个目标将在战略上定位我们开发有竞争力的R01临床试验应用程序,以评估新颖
21针对该提案确定的神经过程的神经肌肉训练。具体来说,在
22本文确定的神经激活策略,我们将使用新型生物反馈来完善预防计划
23种方法,临床技术和运动学习原理,以促进自适应脑功能减少
24受伤的发生率。因此,避免终身疼痛,骨关节炎和身体活动限制,直接对齐
25 NIH倡议,以减少青年和成人的伤害和身体不活动,这是第四个主要原因
全球死亡率26。
27
28
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Dustin Robert Grooms其他文献
Dustin Robert Grooms的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Dustin Robert Grooms', 18)}}的其他基金
Neuroplastic Mechanisms for Acquisition and Transfer of Injury-Resistant Movement Patterns Assessed in VR Simulated Sport
VR 模拟运动中评估的抗损伤运动模式的获取和转移的神经可塑性机制
- 批准号:
10437035 - 财政年份:2021
- 资助金额:
$ 22.4万 - 项目类别:
Neuroplastic Mechanisms for Acquisition and Transfer of Injury-Resistant Movement Patterns Assessed in VR Simulated Sport
VR 模拟运动中评估的抗损伤运动模式的获取和转移的神经可塑性机制
- 批准号:
10353471 - 财政年份:2021
- 资助金额:
$ 22.4万 - 项目类别:
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 - 财政年份:2021
- 资助金额:
$ 22.4万 - 项目类别:
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:
10615762 - 财政年份:2021
- 资助金额:
$ 22.4万 - 项目类别:
相似国自然基金
时空序列驱动的神经形态视觉目标识别算法研究
- 批准号:61906126
- 批准年份:2019
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
本体驱动的地址数据空间语义建模与地址匹配方法
- 批准号:41901325
- 批准年份:2019
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
- 批准号:61802133
- 批准年份:2018
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
- 批准号:61872252
- 批准年份:2018
- 资助金额:64.0 万元
- 项目类别:面上项目
针对内存攻击对象的内存安全防御技术研究
- 批准号:61802432
- 批准年份:2018
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
相似海外基金
A Connectomic Analysis of a Developing Brain Undergoing Neurogenesis
正在经历神经发生的发育中大脑的连接组学分析
- 批准号:
10719296 - 财政年份:2023
- 资助金额:
$ 22.4万 - 项目类别:
Smartphone-based meditation training to reduce adolescent depression
基于智能手机的冥想训练可减少青少年抑郁
- 批准号:
10664427 - 财政年份:2023
- 资助金额:
$ 22.4万 - 项目类别:
Project 4: A Naturalistic Observation of Electronic Cigarettes and Oral Nicotine Pouch Product Use Among Adolescents and Young Adults
项目 4:青少年和年轻人使用电子烟和口服尼古丁袋产品的自然观察
- 批准号:
10666070 - 财政年份:2023
- 资助金额:
$ 22.4万 - 项目类别:
Low-input profiling of brain-region and cell-type specific epigenomic dynamics to understand gene-environment interactions in opioid addiction
对大脑区域和细胞类型特异性表观基因组动力学进行低输入分析,以了解阿片类药物成瘾中的基因与环境的相互作用
- 批准号:
10605801 - 财政年份:2023
- 资助金额:
$ 22.4万 - 项目类别:
Development and user testing of a culturally targeted anal cancer prevention decision tool
针对文化的肛门癌预防决策工具的开发和用户测试
- 批准号:
10664409 - 财政年份:2023
- 资助金额:
$ 22.4万 - 项目类别: