IMPEDANCE ANALYSIS OF MOTONEURON PROPERTIES

运动神经元特性的阻抗分析

• 批准号: 2792690
• 负责人: MITCHELL G MALTENFORT
• 金额: $ 3.15万
• 依托单位: ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-03-01 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/2792690
• 关键词: cats; dendrites; electrophysiology; membrane potentials; microelectrodes; motor neurons; muscle function; neuromuscular transmission; spinal cord; synapses

Investigations of the dendritic structure of motoneurons, the integration of synaptic inputs in motoneurons, and the function and identity of their ionic channels and associated intrinsic voltage- dependent properties have demonstrated a complexity which suggests that the motoneuron is potentially a site of complex integration in the formulation of motor commands. Yet, it remains to be demonstrated that the function of the motoneuron in motor control is any more complex than that of a simple summing device that produces a rate of discharge based on the sum of synaptic currents that reach the soma. The proposed study will apply the impedance analysis techniques developed and refined in the previous years of the NRSA to quantifying the distribution of both synaptic and intrinsic conductances. Either kind of conductance will produce a change in a motoneuron's response to white noise current injected at the soma, and this change can be used to estimate the location and magnitude of the conductance. Whether these properties vary with the electrical characteristics of the motoneuron will be investigated to determine the distribution of these conductances throughout the motoneuron pool. The parameters of a motoneuron model will be fit to the experimentally determined impedance function and used to determine how conductance parameters vary with electrotonic properties of motoneurons. Each of these sets of information would make an important contribution toward answering the question of how individual motoneurones, and motoneuron pools, integrate synaptic and intrinsic drive potentials to produce a final pattern of muscle activity.

对运动神经元的树突状结构的研究， 集成运动神经元中突触输入，功能和功能和 其离子通道的身份和相关的固有电压 依赖性的特性表明了复杂性，这表明 运动神经元可能是一个复杂整合的位点 电机命令的配方。 但是，还有待证明 运动神经元在运动控制中的功能比 一个简单的求和设备，该设备产生基于放电的速率 在到达躯体的突触电流的总和上。 拟议的研究将应用阻抗分析技术 在NRSA的前几年开发和完善以量化 突触和内在电导的分布。 任何一个 一种电导将改变运动神经元对 在体内注入的白噪声电流，可以使用此更改 估计电导的位置和大小。 无论 这些特性随着 将研究Motoneuron以确定这些分布 整个运动神经元池的电导。 一个参数 Motoneuron模型将适合实验确定的阻抗 功能并用于确定电导参数的变化 运动神经元的电子特性。 这些集 信息将为回答这个问题做出重要贡献 单个运动神经元和运动神经元池如何整合的问题 突触和内在驱动力的潜力，以产生最终模式 肌肉活动。