Control of Arm Posture and Movement Followoing Stroke

中风后手臂姿势和运动的控制

• 批准号: 8097109
• 负责人: Robert A. Scheidt
• 金额: $ 7.34万
• 依托单位: MARQUETTE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8097109
• 关键词: Accounting; Articular Range of Motion; Beer; Behavior; Biofeedback; Biomechanics; Brain; Caring; Coupling; Data; Data Analyses; Development; Drops; Elbow; Elbow joint structure; Environment; Equilibrium; Feedback; Female; Fingers; Force of Gravity; Gender; Hand; Impairment; Lead; Learning; Limb structure; Masks; Mechanics; Methods; Middle Cerebral Artery Occlusion; Monitor; Motion; Motor; Movement; Muscle; Muscle Hypertonia; Oral cavity; Patients; Performance; Plants; Positioning Attribute; Posture; Principal Investigator; Property; Psychological Transfer; Recording of previous events; Recruitment Activity; Reflex action; Regulation; Relaxation; Research; Research Personnel; Residual state; Rest; Robot; Robotics; Shoulder; Simulate; Site; Specific qualifier value; Stroke; Survivors; System; Testing; Time; Tissues; Torque; Training; Transducers; Translating; Woman; Work; Wrist; abstracting; arm; base; chronic stroke; demographics; disability; disorder control; electromyographic biofeedback; grasp; inclusion criteria; insight; male; neuromechanism; novel; novel strategies; post stroke; programs; research study; response; restraint

DESCRIPTION (provided by applicant): Project Summary/Abstract This project analyzes disordered control of posture and movement during reaching in patients with stroke resulting from middle cerebral artery occlusion. Prior studies have shown that control of posture and movement may both be impaired, and contribute importantly to disability. Our recent work has shown that normal reaching requires control of both posture and movement, that these two functions are specified by different neural mechanisms, and that accuracy is dependent on adaptation (learning) and coordination between the two. Based on our preliminary observations, we hypothesize that stroke degrades the ability to recruit and relax the balanced muscle co-contractions needed both to overcome limb postural bias associated with hypertonia and to stabilize the hand against unsteady loads across the workspace. We further hypothesize that major impairment in reaching post-stroke arises from improper scaling and timing of muscle coactivation, thus limiting the independence of arm trajectory and position control. Using a planar robot arm and novel EMG biofeedback methods, Aim 1 proposes to characterize the stroke- related changes in: 1) the ability to maintain postural stability throughout the workspace via graded coactivation of antagonist muscles; 2) the latency and developmental time course of different levels of coactivation, and 3) the use of proprioceptive feedback to counteract reflex abnormalities during regulation of limb position in the presence of mechanical perturbations. Aim 2 examines stroke-related changes in the integration of posture and movement control. Using the planar robot we will: 1) explore transfer of learning between posture and movement tasks, assessing whether coupling between the two controllers increases post-stroke, and 2) determine whether trajectory planning adapts post-stroke to account for the biomechanical effects of posture regulation. We expect our results will ultimately lead to new approaches for rehabilitating arm function post-stroke. We anticipate that improvement in arm function will be promoted by applying robotic and biofeedback methods first to train coactivation, posture and movement control separately, then in combination.

项目摘要/摘要本项目分析大脑中动脉闭塞导致的脑卒中患者伸手时的姿势和运动控制障碍。先前的研究表明，姿势和运动的控制都可能受损，这是导致残疾的重要原因。我们最近的工作表明，正常的伸展需要控制姿势和运动，这两种功能由不同的神经机制指定，而准确性取决于两者之间的适应（学习）和协调。基于我们的初步观察，我们假设中风降低了平衡肌肉联合收缩的招募和放松能力，而平衡肌肉联合收缩既需要克服与高张力相关的肢体姿势偏差，也需要在工作空间中稳定手部以应对不稳定负载。我们进一步假设，到达中风后的主要损伤是由于肌肉协同激活的比例和时间不正确，从而限制了手臂轨迹和位置控制的独立性。