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Muscle Morphology, Strength and Compensatory Strategies Following Stroke

中风后的肌肉形态、力量和代偿策略

基本信息

批准号：
7742620
负责人：
Jill S Higginson
金额：
$ 33.13万
依托单位：
UNIVERSITY OF DELAWARE
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-04-01 至 2012-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7742620
关键词：
Acceleration Address Adult Age Algorithms Architecture Area Automobile Driving Awareness Binding Biological Biology Biomechanics Biomedical Computing Biomedical Engineering Biomedical Research Blood Vessels Cardiovascular system Cells Cereals Cerebral Palsy Characteristics Chemicals Child Code Collaborations Collection Communities Computer software Computing Methodologies Coupled Custom Data Data Analyses Data Set Detection Development Discipline Disease Drug Delivery Systems Dyskinetic syndrome Electrostatics Engineering Ensure Environment Equation Future Gait Generations Genetic Medicine Grant Human Human Resources Image Impairment Individual Intervention Investigation Isometric Exercise Isotonic Exercise Joints Kinetics Knowledge Language Lead Left Libraries Licensing Life Limb structure Link Liquid substance Literature Lower Extremity Magnetic Resonance Imaging Measurement Measures Mechanics Medical Device Methodology Methods Mission Modeling Molecular Morphology Motion Movement Muscle Muscle Cells Muscle Tension Musculoskeletal Myopathy Myosin ATPase Nature Newsletter Nonmuscle Myosin Type IIB Operative Surgical Procedures Organism Output Parkinson Disease Patients Pattern Performance Persons Pharmaceutical Preparations Physics Physiological Principal Investigator Process Publications Publishing RNA RNA Folding Rehabilitation therapy Relative (related person)Reporting Research Research Infrastructure Research Personnel Running Sample Size Scientist Selection Criteria Series Simulate Software Engineering Source Speed Stroke Structure System Techniques Testing Thigh structure Time Tissues Torque Training Uncertainty United States National Institutes of Health Universities Validation Walking Work Writing advanced simulation arm base biological systems biomedical scientist body system chronic stroke clinically relevant commercialization computer science computerized tools data mining data modeling data sharing design disability dissemination research experience fluid flow hemiparesis image visualization innovation instrument interest kinematics macromolecule mathematical model meetings meter millimeter models and simulation multi-scale modeling nanometer neuromuscular novel open source physical property post stroke programs public health relevance quadriceps muscle repository research study response simulation therapy design tool tool development

项目摘要

DESCRIPTION (provided by applicant): Stroke is a leading cause of long-term adult disability. Due to abnormal timing and magnitude of muscle activation, and altered muscle force generating capacity, performance of gait is disrupted and asymmetric kinematics and kinetics emerge. The proposed work will investigate the relationship between altered muscle morphology, muscle activation, and muscle coordination following stroke. Our technical objectives include the development and implementation of tools to facilitate the creation of subject-specific simulations of human movement using the SimTK framework introduced by the Simbios investigators. We propose to apply this simulation toolkit to understand muscle coordination in post-stroke hemiparesis by achieving the following specific aims: (1) Identify morphological characteristics of paretic and non-paretic muscles in chronic stroke and differences with healthy age- matched subjects, (2) Determine whether reductions in muscle force and net joint torque following stroke are due to altered morphology or impaired activation, (3) Identify factors that limit gait speed in persons post-stroke, and (4) Identify differences between self-selected and fastest possible gait speed for healthy persons and those post-stroke. In the proposed series of studies, static MRI will be used to assess physiological cross-sectional area of key lower extremity muscles. Measurements of muscle activity and net joint torque will be taken during a range of isometric and isokinetic dynamometer tasks. Experimental gait data will be collected on healthy and post-stroke individuals and used to generate subject-specific simulations. A variety of analysis techniques will be employed to assess differences between groups, such as muscle excitation patterns, limb configuration, and the potential effect of muscle forces on joint accelerations, and to address clinically relevant hypotheses.

描述（由申请人提供）：中风是成人长期残疾的主要原因。由于肌肉激活的时间和幅度异常，以及肌肉力量产生能力的改变，步态的表现会受到干扰，并且会出现不对称的运动学和动力学。拟议的工作将研究中风后肌肉形态改变、肌肉激活和肌肉协调之间的关系。我们的技术目标包括开发和实施工具，以促进使用 Simbios 研究人员引入的 SimTK 框架创建针对特定主题的人体运动模拟。我们建议应用该模拟工具包通过实现以下具体目标来了解中风后偏瘫的肌肉协调：（1）确定慢性中风中偏瘫和非偏瘫肌肉的形态特征以及与健康年龄匹配受试者的差异，（2）确定中风后肌力和净关节扭矩的减少是否是由于形态改变或激活受损所致，（3）确定限制步态的因素 (4) 识别健康人和中风后患者自我选择的最快步态速度之间的差异。在拟议的系列研究中，静态 MRI 将用于评估关键下肢肌肉的生理横截面积。将在一系列等长和等速测功机任务期间测量肌肉活动和净关节扭矩。将收集健康人和中风后个体的实验步态数据，并用于生成特定于受试者的模拟。将采用各种分析技术来评估组之间的差异，例如肌肉兴奋模式、肢体配置以及肌肉力量对关节加速度的潜在影响，并解决临床相关假设。