Reflexes during cat locomotion across speed and gait

猫运动过程中的速度和步态反射

• 批准号: 6691693
• 负责人: Young-Hui Chang
• 金额: $ 4.89万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-12-01 至 2005-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6691693
• 关键词: ankle; biomechanics; cats; chordate locomotion; gait; innervation; limb movement; postdoctoral investigator; posture; proprioception /kinesthesia; reflex; sensory feedback

DESCRIPTION (provided by applicant): The overall objective of the proposed research is to quantify the neuromechanical influence of sensory feedback from the ankle joint over a range of speeds and gaits during cat locomotion. By studying how reflexes function across a range of speeds and gaits, we propose to partition out the relative contributions of peripheral modulation of reflexes at each activity level. Furthermore, we will elucidate a predictive relationship between reflex modulation and locomotion speed/gait. Self-reinnervation of certain muscle groups crossing the ankle joint will result in the effective loss of localized proprioceptive feedback. We will make biomechanical measurements during locomotion before and after self-reinnervation to determine their functional importance during locomotion. Biomechanical data will be quantified using high-speed video, 3-dimensional joint kinematics and linear algebraic analysis. The findings will provide valuable information about how reflexes are used during locomotion and how this importance changes across different speeds and gaits. This information can then be extrapolated to make predictions about how reflexes may be modulated to assist in rehabilitation techniques for human patients suffering from neurological diseases affecting motor control of movement and gait.

描述（由申请人提供）：拟议研究的总体目标是量化猫运动过程中踝关节在一定速度和步态范围内的感觉反馈的神经力学影响。通过研究反射如何在一系列的速度和步态的功能，我们建议划分出在每个活动水平的周边调制的反射的相对贡献。此外，我们将阐明反射调制和运动速度/步态之间的预测关系。跨踝关节的某些肌群的自我神经支配将导致局部本体感觉反馈的有效丧失。我们将在运动过程中进行生物力学测量之前和之后的自我神经支配，以确定他们的功能在运动过程中的重要性。生物力学数据将使用高速视频、三维关节运动学和线性代数分析进行量化。这些发现将提供有关运动过程中如何使用反射以及这种重要性如何在不同速度和步态中变化的宝贵信息。然后可以推断该信息以预测反射如何被调节以帮助患有影响运动和步态的运动控制的神经疾病的人类患者的康复技术。