Mechanisms altering skeletal muscle activation patterns during dynamic tasks

因为我们的躯干占我们全身质量的68%，所以研究我们如何控制躯干的姿势和运动是很重要的。我们必须能够控制躯干的位置，以执行许多日常生活活动，如步行，坐着，举起物体，以高性能的运动技能。躯干肌肉还通过产生稳定力来保护脊柱免受过度运动的影响。许多肌肉和关节参与，所以我的研究着眼于关节，骨骼和肌肉的变化如何改变这个复杂的系统如何共同工作，以保持脊柱稳定性和控制躯干运动。中枢神经系统控制肌肉如何协同工作。当关节结构或周围肌肉发生变化时（例如关节松弛增加，肌肉力量下降），神经系统可以适应改变肌肉的工作方式。使用大量肌肉的表面肌电图（EMG），我想了解神经系统如何适应关节结构的特定变化，从而改变肌肉的协同工作方式。我们有自然发生的变化，在身体的关节，骨骼和肌肉与年龄，病理，和男性和女性之间的差异。研究这些群体提供了一个自然的实验模型，来研究这些结构的变化如何被神经控制系统补偿。我已经展示了肌肉在某些情况下是如何通过增加它们的工作强度来做出反应的。然而，在其他情况下，我已经表明，肌肉并不以典型的方式一起工作。我想知道为什么会发生这种情况，并找出我是否可以将关节，骨骼和肌肉的特定变化与肌肉工作方式的特定变化联系起来。我们将研究一大群年龄范围（20-80岁）的人，同时他们进行标准运动。将采取一些措施，以帮助确定哪些因素是最重要的变化，如何肌肉一起工作，以移动和保护脊柱。第二个问题是确定我们是否可以将肌肉工作的特定模式与控制运动的大脑部分的特定活动模式联系起来。我们将结合联合收割机从躯干肌肉（EMG）和大脑（脑电图）的激活措施，以确定这些联系。最后，我想了解躯干肌肉反应的这些变化对施加在关节上的力有什么影响。要做到这一点，我们将通过使用年龄，性别和病理学的具体信息来估计这些力量的方法。目前，这些模型中使用的信息来自年轻健康的人，主要是男性，这并没有给我们一个很好的估计整个生命周期。这将告诉我们肌肉的变化是否对关节产生积极或消极的影响。长期目标是促进对控制躯干功能的重要因素的了解，并开发将影响与人类运动性能相关的广泛领域（例如工作场所，日常生活活动，高性能运动，临床环境和机器人技术）的研究和技术的工具。例如，考虑到我们的老龄化劳动力，能够了解工作空间设计的限制和潜在变化将是有帮助的，因为许多任务都是在坐姿和站立姿势下执行的。以及流行的杂志在广泛的领域谈论“核心”稳定性，但真的很少有科学证据支持许多索赔和这项研究的结果将提供信息，可能导致培训的身体和心理方面的控制。最后，控制躯干位置的能力对于在不稳定的表面上执行许多任务是必要的，例如军事和海上工作人员。

Because our trunk makes up 68% of our overall body mass, it is important to study how we control trunk posture and motion. We must be able to control trunk position to perform many activities of daily living such as walking, sitting, and lifting objects to high performance athletic skills. Trunk muscles also protect the spine from excessive motion by producing stabilizing forces. Numerous muscles and joints are involved so my research looks at how changes in joints, bones and muscles alter how this complex system works together to maintain spine stability and control trunk motion. The central nervous system controls how the muscles work together. When there are changes in joint structures or surrounding muscles (e.g. increased joint laxity, decreased muscle strength) then the nervous system can adapt to change how muscles work. Using surface electromyography (EMG)) from a large number of muscles I want to understand how the nervous system adapts to specific changes in joint structures that alter how the muscles work together. We have naturally occurring changes in the body to joints, bones and muscles with age, pathology, and differences between men and women. Studying these populations provides a natural experimental model to look at how changes in these structures are compensated for by the neural control system. I have shown how the muscles respond in some cases by increasing how hard they work. In other cases, however, I have shown that the muscles do not work together in a typical manner. I want to understand why this happens, and find out whether I can relate specific changes in the joint, bones and muscles to specific changes in how the muscles work. We will study a large group of people across a wide age range (20-80 years) while they perform standard movements. A number of measures will be taken that help determine which factors are most important to the changes in how the muscle work together to move and protect the spine. The second question is to determine whether we can link the specific patterns of how the muscles work with specific patterns of activity in the part of the brain that controls movement. We will combine activation measures from the trunk muscles (EMG) and from the brain (electroencephalography) to determine these links. Finally I want to understand what effect these changes in trunk muscle responses have on the forces that are applied to the joint. To do this we will advance present methods of estimating these forces by using age, sex and pathology-specific information. At present the information used in these models are from young healthy, primarily men which does not give us a good estimate across the life span. This will inform us of whether the muscle alterations have a positive or negative impact on the joint. The long-term goal is to advance knowledge of the factors important to control trunk function and develop tools that will impact research and technology in broad areas related to human movement performance (e.g. work place, activities of daily living, high performance athletics, clinical settings and robotics). For example, given our aging workforce, being able to understand limits and potential changes to work space design would be helpful as many tasks are performed in seated and standing positions. As well popular magazines across a wide range of areas talk about “core” stability but there is really little scientific evidence to back many claims and the results of this study will provide information which may lead to training both physical and mental aspects of control. Finally the ability to control trunk position is necessary to perform many tasks on unstable surfaces such as the military and offshore workers.