The Neural Control of Internal Joint State
The Neural Control of Internal Joint State
批准号:
9273197
负责人:
Matthew Tresch
金额:
$0.42万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-07-01 至 2017-06-30
关键词:
AffectAnatomyAnimal ModelAnimalsArthralgiaArthritisBehaviorBehavioralChronicControlled StudyDeafferentation procedureDiseaseEquilibriumEsthesiaExperimental ModelsFailureFeedbackFemurGoalsHealthHindlimbHumanInjuryIsometric ExerciseJoint DislocationJointsKneeKnee boneKnee jointLeadLigamentsLimb structureLocomotionMeasuresMechanicsModelingMotionMovementMuscleNervous System controlNervous system structureNeuraxisPainParalysedRattusRegulationResearchRoleRuptureSensoryStressStructureTask PerformancesTechniquesTimeTorquearticular cartilagebiomechanical modelboneclinical applicationclinical practicefunctional restorationimprovedin vivointernal controljoint injuryjoint stresskinematicsmotor controlneuroregulationnovelquadriceps musclerelating to nervous systemresearch studyresponse
中文摘要
描述(由申请人提供):大多数运动控制研究考虑中枢神经系统如何控制任务水平变量,例如,检查中枢神经系统如何产生实现运动等行为所需的关节扭矩。在这种情况下,是肌肉产生的一组扭矩决定了它被中枢神经系统激活。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,即表征关节内部结构状态的变量,如韧带和关节软骨(即韧带拉伤或骨接触力)。未能调节这些内部关节变量可在短期内(如韧带断裂、关节脱位)和长期内对健康造成严重后果
英文摘要
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.
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会议论文
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海外基金