Proprioceptive models for control of movement

 描述(申请人提供)：控制运动的关键是我们身体对肢体状态的感觉，这些感觉来自位于肌腱内的机械门控神经元，称为本体感受器。了解本体感受器的机械编码对于了解它们在平衡控制等感觉运动行为中的作用至关重要。由于衰老、糖尿病以及化疗引起的周围神经病变(CIPN)和其他疾病导致的本体感觉丧失会增加跌倒的风险，跌倒是老年人发病率和死亡率的主要原因。神经力学模型对于预测感觉丧失对运动的影响至关重要，因为在实际运动中很难接触和测量本体感受器。在这里，目标是开发一种简约的本体感觉功能模型，适用于在健康和神经疾病条件下的感觉运动控制的预测建模。具体地说，这项工作的目的是直接测试在健康猫(特定的)本体感受器的瞬时放电频率和集合放电活动中编码了什么信息 目的1)、健康大鼠和CIPN大鼠(特异性目标2)。初步数据表明，Ia组本体感受器编码与肌腱动力学有关的信息(即被动张力及其一次导数)，而不是先前认为的运动学信息(即长度和速度)。USNG使用简单的肌腱和尖峰神经元模型结合以前收集的和新的数据集，拟议的工作将明确地检验关于麻醉猫(健康)和大鼠(健康和神经病)的Ia、Ib和II组本体感受器的放电频率和聚集活动之间的关系以及肌腱动力学的假说。

 DESCRIPTION (provided by applicant): Crucial to controlling movements is our bodies' sense of limb state arising from mechanically gated neurons located within the musculotendon, called proprioceptors. Understanding the mechanical encoding of proprioceptors is critical to understanding their roles in sensorimotor behaviors such as balance control. Proprioceptive loss due to aging, diabetes, as well as chemotherapy-induced peripheral neuropathy (CIPN) and other disorders can increase the risk for falls, which is the leading cause of morbidity and mortality in older adults. Neuromechanical models are essential for predicting the impact of sensory loss on movement because proprioceptors are difficult to access and measure from during actual movements. Here, the goal is to develop a parsimonious model of proprioceptive function appropriate for predictive modeling of sensorimotor control in healthy and neuropathic conditions. Specifically, this work aims to directly test what information is encoded in the instantaneous firing rates and aggregate firing activity of proprioceptors in healthy cat (Specific Aim 1) and in healthy and CIPN rat (Specific Aim 2). Preliminary data suggest that group Ia proprioceptors encode information related to musculotendon kinetics (i.e. passive tension and its first time derivative), but not kinematics (i.e. length and velocity) as previously thought. Usng a combination of previously collected and new datasets with simple musculotendon and spiking neuron model, the proposed work will explicitly test hypotheses about the relationship between firing rates and aggregate activity of group Ia, Ib, and II proprioceptors and musculotendon kinetics in anesthetized cat (healthy) and rat (healthy and neuropathic).