Biocomputation of the Links Between Muscle Morphology, Coordination and Injury

肌肉形态、协调性和损伤之间联系的生物计算

基本信息

批准号：
7496067
负责人：
Silvia Salinas Blemker
金额：
$ 29.72万
依托单位：
UNIVERSITY OF WISCONSIN-MADISON
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-09-15 至 2011-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7496067
关键词：
Acute Address Adopted Adult Affect Algorithms American Architecture Area Arts Automobile Driving Awareness Behavior Biological Biology Biomechanics Biomedical Computing Biomedical Engineering Biomedical Research Blood Vessels Cardiovascular system Cells Cereals Cerebral Palsy Chemicals Child Class Classification Clinic Clinical Code Collaborations Collection Communities Complement Complex Computational algorithm Computer Simulation Computer software Condition Coupled Couples Coupling Custom Data Data Analyses Data Set Data Sources Dedications Development Discipline Disease Doctor of Philosophy Documentation Drug Delivery Systems Dyskinetic syndrome Electrostatics Elements Engineering Ensure Environment Equation Exhibits Fiber Figs - dietary Future General Population Generations Genetic Medicine Genetics and Medicine Goals Grant Head Home environment Human Image Imagery Imaging Techniques Impairment Individual Injury Institution Intervention Investigation Lateral Lead Learning Libraries Licensing Life Link Localized Location Logic Magnetic Resonance Imaging Mathematics Measurement Measures Mechanics Medial Medical Device Medical Research Methodology Methods Mission Modeling Molecular Morphology Motion Movement Muscle Muscle Cells Muscle Fibers Muscle strain Musculoskeletal Musculoskeletal Diseases Myopathy Myosin ATPase Nature Newsletter Nonmuscle Myosin Type IIB Operative Surgical Procedures Organism Orthopedics Parkinson Disease Patients Pattern Performance Pharmaceutical Preparations Physics Physiological Prevention strategy Principal Investigator Problem Solving Process Property RNA RNA Folding Range Rate Rehabilitation therapy Research Research Infrastructure Research Personnel Residual state Resources Risk Running Scientist Selection Criteria Simulate Site Skeletal Muscle Societies Software Engineering Software Tools Source Sports Sports Medicine Stroke Structure Students System Techniques Tendon structure Testing Thigh structure Time Tissues Training United States National Institutes of Health Universities Validation Work advanced simulation aponeurosis base biceps brachii muscle biocomputing biomedical scientist body system commercialization computer framework computer science computerized tools concept data modeling design dissemination research experience fluid flow graphical user interface image visualization in vivo injured injury prevention innovation insight interest macromolecule mathematical model meter millimeter models and simulation nanometer novel open source physical property prevent programs repository research study response simulation skeletal movement soft tissue software development symposium theories tool tool development

项目摘要

DESCRIPTION (provided by applicant): Muscle strain injuries are one of the most common conditions seen in sports medicine clinics. However, methods of treatment are variable and re-injury rates tend to be high which, in part, reflects a lack of fundamental understanding of the factors that influence injury risk. The prevailing theory is that injury occurs as a result of excessive strain of active muscle fibers. The goal of this study is to develop novel biocomputational tools to predict and analyze the strain distributions within skeletal muscles during movements associated with injury. Model predictions will be compared with strain measures obtained using state-of-the-art dynamic magnetic resonance imaging experiments. Once validated, we will use the biocomputational tools to investigate how morphology and coordination influence hamstring injury risk during running. Following are the specific aims. Aim 1 will use a dynamic magnetic resonance imaging technique to measure the strain distributions within the individual hamstring muscles during lengthening contractions, a loading condition commonly associated with injury. Comparisons between muscles will provide new insights into the propensity for hamstring injury to occur in the biceps femoris long head. Aim 2 will build a biocomputational framework to predict muscle strain distributions during movement. The framework will couple finite-element simulations of muscle tissue behavior with dynamic simulations of whole body movement. The methods will be validated by comparing strain predictions with those determined from the dynamic images in Aim 1. We will then use the framework to investigate the relationship between muscle excitations, hamstring tissue strains and skeletal movement during running. Aim 3 will evaluate whether computational models predict re-injury prevention strategies. We will build and validate models of subjects who exhibit residual changes in tissue structures as a result of a previous hamstring injury. We will then use the software framework to identify how movement coordination can be adapted to accommodate injury-induced changes in morphology. This research will establish a biocomputational framework that reveals the complex relationship between muscle morphology, coordination and injury risk, thus providing a new paradigm for identifying rehabilitation and injury prevention strategies. Muscle strain injuries are one of the most common conditions seen in sports medicine clinics. However, methods of treating muscle injuries are variable and re-injury rates tend to be high. This proposal couples novel biocomputational tools and imaging techniques to establish a scientific basis for preventing and rehabilitating hamstring muscle injuries.

描述（由申请人提供）：肌肉应变损伤是运动医学诊所中最常见的疾病之一。但是，治疗方法是可变的，而重伤率往往很高，这部分反映了对影响伤害风险的因素的基本理解。流行的理论是，由于活性肌肉纤维过多压力而导致伤害。这项研究的目的是开发新型的生物计算工具，以预测和分析与损伤相关的运动过程中骨骼肌内的应变分布。模型预测将与使用最先进的动态磁共振成像实验获得的应变度量进行比较。一旦验证，我们将使用生物计算工具来研究形态和协调如何影响跑步过程中的绳肌损伤风险。以下是具体目标。 AIM 1将使用动态磁共振成像技术来测量延长收缩期间单个ham绳肌肉内的应变分布，这是一种通常与损伤相关的负载条件。肌肉之间的比较将提供新的见解，以了解股二头肌长头弯曲的倾向。 AIM 2将建立一个生物计算框架，以预测运动过程中的肌肉应变分布。该框架将将肌肉组织行为的有限元模拟与全身运动的动态模拟相结合。该方法将通过将应变预测与AIM 1中的动态图像确定的预测进行比较来验证。然后，我们将使用该框架研究肌肉激发，腿筋组织菌株和跑步过程中骨骼运动之间的关系。 AIM 3将评估计算模型是否预测遭受损害的预防策略。我们将建立和验证由于先前的腿筋损伤而导致组织结构显示残留变化的受试者模型。然后，我们将使用软件框架来确定如何适应运动协调以适应损伤引起的形态变化。这项研究将建立一个生物计算框架，该框架揭示了肌肉形态，协调和伤害风险之间的复杂关系，从而提供了一个新的范式来识别康复和预防伤害策略。肌肉应变是运动医学诊所中最常见的疾病之一。但是，治疗肌肉损伤的方法是可变的，而遭受损害的率往往很高。该建议将新颖的生物计算工具和成像技术融合在一起，以建立防止和修复腿筋肌肉损伤的科学基础。