The Neural Control of Internal Joint State

内部关节状态的神经控制

基本信息

  • 批准号:
    8916841
  • 负责人:
  • 金额:
    $ 34.66万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-09-01 至 2019-07-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Most motor control studies consider how the CNS controls task level variables, examining, for example, how the CNS produces the joint torques necessary to achieve behaviors such as locomotion. In this context, it is the set of torques produced by a muscle that determines its activation by the CNS. However, this focus on task performance ignores the control of another critical set of variables, those characterizing the state of internal joint structures such as ligaments and articular cartilage (i.e. ligament strainsor bone contact forces). Failure to regulate these internal joint variables can have significant consequences to health both in the short term (e.g. ligament rupture, joint dislocation) and in the long term (e.g. chronic joint pain, arthritis). The CNS should therefore consider both task performance and internal joint variables when determining muscle activations. How internal joint variables might be incorporated into motor control strategies, however, is poorly understood. The overall goal of the experiments described in this proposal is to evaluate these issues, examining the control of internal joint variables by the CNS. We will examine these issues using an animal model, focusing on the control of the knee joint by quadriceps muscles in the rat. The specific anatomy of the rat knee allows for a clear separation between the effects of quadriceps muscles on task performance variables (joint torques) and internal joint variables (mediolateral patellar forces). Using this model we can therefore make strong predictions about how the control of internal joint variables should be reflected in muscle activations across a range of behavioral conditions. We will perform three sets of related experiments. In Aim 1 we will characterize the mechanical actions of quadriceps muscles on task performance and internal joint variables. We hypothesize that quadriceps muscles will produce similar knee joint torques but distinct mediolateral patellar forces. In Aim 2, we will examine whether the neural control of quadriceps reflects the regulation of internal joint variables. We first hypothesize that in intact animals, the correlation in the variability of EMGs reflects the balancing of mediolateral patellar forces. Further, we hypothesize that following selective muscle paralysis or perturbations of patellar forces, long term adaptations in muscle activations will improve the control of internal joint variables. In Aim 3 we will examine the role of joint afferents in the control of internal jont variables. We hypothesize that joint afferents are not used for rapid feedback control of muscle activations but are used to guide long term adaptations of muscle activations following perturbations to internal joint variables. These experiments provide a systematic analysis of the role of internal joint variables in the neural control of behavior, using a range of techniques in conceptually simple and tractable experimental model. The results of these experiments have the potential to significantly impact motor control, both in our basic understanding of motor control and in clinical applications that seek to restore function after injury.
描述(由申请人提供):大多数运动控制研究考虑 CNS 如何控制任务级别变量,例如检查 CNS 如何产生实现运动等行为所需的关节扭矩。在这种情况下,肌肉产生的一组扭矩决定了中枢神经系统的激活。然而,这种对任务表现的关注忽略了对另一组关键变量的控制,这些变量表征韧带和关节软骨等内部关节结构的状态(即韧带张力或骨接触力)。未能调节这些内部关节变量可能会在短期内(例如韧带断裂、关节脱位)和长期内对健康产生重大影响。 长期(例如慢性关节疼痛、关节炎)。 因此,中枢神经系统在确定肌肉激活时应考虑任务表现和内部关节变量。然而,人们对如何将内部关节变量纳入运动控制策略却知之甚少。本提案中描述的实验的总体目标是评估这些问题,检查中枢神经系统对内部联合变量的控制。 我们将使用动物模型来研究这些问题,重点关注大鼠股四头肌对膝关节的控制。大鼠膝盖的特定解剖结构可以清楚地区分股四头肌对任务表现变量(关节扭矩)和内部关节变量(髌骨内侧力)的影响。因此,使用这个模型,我们可以对内部关节变量的控制如何反映在一系列行为条件下的肌肉激活中做出强有力的预测。 我们将进行三组相关实验。在目标 1 中,我们将描述股四头肌对任务表现和内部关节变量的机械作用。我们假设股四头肌会产生类似的膝关节扭矩,但产生不同的内侧髌骨力。在目标2中,我们将检查股四头肌的神经控制是否反映了内部关节变量的调节。我们首先假设在完好无损的情况下 动物中,肌电图变异性的相关性反映了内侧髌骨的平衡 力量。此外,我们假设在选择性肌肉麻痹或髌骨力扰动之后,肌肉激活的长期适应将改善对内部关节变量的控制。在目标 3 中,我们将研究关节传入在内部关节变量控制中的作用。我们假设关节传入不用于肌肉激活的快速反馈控制,而是用于指导内部关节变量扰动后肌肉激活的长期适应。 这些实验在概念上简单且易于处理的实验模型中使用了一系列技术,对内部关节变量在行为神经控制中的作用进行了系统分析。这些实验的结果有可能显着影响运动控制,无论是在我们对运动控制的基本理解中,还是在寻求损伤后恢复功能的临床应用中。

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Matthew Tresch其他文献

Matthew Tresch的其他文献

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{{ truncateString('Matthew Tresch', 18)}}的其他基金

Optimizing the restoration and rehabilitation of function using cortically-controlled FES following SCI
SCI 后使用皮质控制的 FES 优化功能恢复和康复
  • 批准号:
    10397418
  • 财政年份:
    2019
  • 资助金额:
    $ 34.66万
  • 项目类别:
Optimizing the restoration and rehabilitation of function using cortically-controlled FES following SCI
SCI 后使用皮质控制的 FES 优化功能恢复和康复
  • 批准号:
    10613441
  • 财政年份:
    2019
  • 资助金额:
    $ 34.66万
  • 项目类别:
Optimizing the restoration and rehabilitation of function using cortically-controlled FES following SCI
SCI 后使用皮质控制的 FES 优化功能恢复和康复
  • 批准号:
    10160969
  • 财政年份:
    2019
  • 资助金额:
    $ 34.66万
  • 项目类别:
The Neural Control of Internal Joint State
内部关节状态的神经控制
  • 批准号:
    9273197
  • 财政年份:
    2016
  • 资助金额:
    $ 34.66万
  • 项目类别:
The Neural Control of Internal Joint State
内部关节状态的神经控制
  • 批准号:
    8817096
  • 财政年份:
    2014
  • 资助金额:
    $ 34.66万
  • 项目类别:
The Neural Control of Internal Joint State
内部关节状态的神经控制
  • 批准号:
    9115263
  • 财政年份:
    2014
  • 资助金额:
    $ 34.66万
  • 项目类别:
In situ measurement of sarcomere operating range in passive and active muscle
被动和主动肌肉肌节工作范围的原位测量
  • 批准号:
    8384368
  • 财政年份:
    2012
  • 资助金额:
    $ 34.66万
  • 项目类别:
In situ measurement of sarcomere operating range in passive and active muscle
被动和主动肌肉肌节工作范围的原位测量
  • 批准号:
    8502250
  • 财政年份:
    2012
  • 资助金额:
    $ 34.66万
  • 项目类别:
Restoration of movement using muscle synergies to control natural limb dynamics
利用肌肉协同作用恢复运动来控制自然肢体动力学
  • 批准号:
    7938931
  • 财政年份:
    2009
  • 资助金额:
    $ 34.66万
  • 项目类别:
Physiological and biomechanical analysis of muscle synergies in rat locomotion
大鼠运动中肌肉协同作用的生理和生物力学分析
  • 批准号:
    7319764
  • 财政年份:
    2007
  • 资助金额:
    $ 34.66万
  • 项目类别:

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