Optimizing Hand Rehabilitation Post-Stroke Using Interactive Virtual Environments

使用交互式虚拟环境优化中风后手部康复

基本信息

批准号：
7662069
负责人：
SERGEI V ADAMOVICH
金额：
$ 29.4万
依托单位：
NEW JERSEY INSTITUTE OF TECHNOLOGY
依托单位国家：
美国
项目类别：
财政年份：
2009
资助国家：
美国
起止时间：
2009-03-05 至 2013-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7662069
关键词：
Affect Algorithms Animals Behavioral Bilateral Biological Neural Networks Body part Clinical Complex Disinhibition Distal Elements Environment Evaluation Fingers Freedom Funding Goals Hand Hand functions Household Human Intervention Ipsilateral Lesion Literature Maps Measures Mind Motion Motor Motor Skills Movement National Institute of Child Health and Human Development Neuronal Plasticity Neurons Neurosciences Outcome Patients Pattern Play Positioning Attribute Pronation Recovery Recovery of Function Rehabilitation therapy Reporting Robot Role Shapes Slave Stifle joint Stroke Supination System Testing Therapeutic Intervention Time Training Training Activity Treatment Protocols Upper Extremity Upper arm Work base computerized design exoskeleton functional gain functional improvement functional outcomes grasp hand rehabilitation haptics improved innovation kinematics motor control neurophysiology neuroregulation novel post stroke public health relevance rehabilitation strategy relating to nervous system simulation skills skills training virtual virtual reality

项目摘要

DESCRIPTION (provided by applicant): The complexity of sensorimotor control required for hand function as well as the wide range of recovery of manipulative abilities makes rehabilitation of the hand most challenging. Our past work has shown that training in a virtual environment (VE) using repetitive, adaptive algorithms has the potential to be an effective rehabilitation medium to facilitate motor recovery of hand function. These findings are in accordance with current neuroscience literature in animals and motor control literature in humans. We are now in a position to refine and optimize elements of the training paradigms to enhance neuroplasticity. Our first aim tests if and how competition among body parts for neural representations stifles functional gains from different types of training regimens. The second aim tests the functional benefits of unilateral versus bilateral training regimens. The third aim tests whether functional improvements gained from training in a virtual environment transfer to other (untrained) skills in the real world. PUBLIC HEALTH RELEVANCE: The potential benefit of this study will be to provide more targeted therapeutic interventions so as to maximize recovery of function in the hemiplegic hand of patients who have had a stroke. The study will use interactive virtual reality-based gaming simulations to encourage the intensity of practice needed for motor recovery. Information gained will help to uncover the potential benefits of these interventions on facilitating recovery of hand function.

描述（由申请人提供）：手部功能所需的感觉运动控制的复杂性以及操纵能力的广泛恢复范围使得对手的康复最具挑战性。我们过去的工作表明，使用重复的自适应算法在虚拟环境（VE）中进行培训有可能成为有效的康复介质，以促进手动恢复手部功能。这些发现与人类的动物和运动控制文献中当前的神经科学文献一致。现在，我们可以完善和优化训练范式的要素以增强神经塑性。我们的第一个目标测试是否以及身体部位之间的神经表示竞争如何扼杀了不同类型的训练方案的功能增长。第二个目标测试了单侧与双边训练方案的功能益处。第三个目标测试是否会从虚拟环境转移到现实世界中其他（未经训练）技能的培训中获得的功能改进。公共卫生相关性：这项研究的潜在好处是提供更有针对性的治疗干预措施，以最大程度地恢复中风患者的偏瘫手。该研究将使用基于互动虚拟现实的游戏模拟来鼓励运动恢复所需的实践强度。获得的信息将有助于发现这些干预措施在促进手部功能恢复方面的潜在好处。