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Contribution of motor neuron intrinsic properties to motor pattern generation.

机译:运动神经元固有特性对运动模式生成的贡献。

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摘要

Rhythmic motor patterns, such as walking, are generated, in part, by rhythmically active neural networks called central pattern generators (CPG's; Marder and Calabrese, 1996). Typically, CPG's provide rhythmically patterned synaptic drive onto motor neurons in order to coordinate them, with appropriate phase differences, into a motor pattern appropriate for the behavior. These premotor patterns of drive contain both timing information and patterns of synaptic strengths. Invertebrate preparations, with their simple and accessible nervous systems, have been used to generate principles that underlie how premotor patterns of synaptic input interact with motor neurons to produce stereotyped motor outputs (Marder and Bucher, 2007). Here, I use the leech heartbeat CPG, a system in which patterns of synaptic drive onto motor neurons can be easily measured, to address how a CPG circuit coordinates its motor neurons to produce stereotyped motor patterns.;In the first of two studies, I show that, although the segmental input pattern is the primary determinant of motor neuron output, the intrinsic properties of the heart motor neurons play an important role in determining how they are coordinated by their segmental synaptic input pattern, particularly when receiving one of the two input patterns these motor neurons receive.;In the second study, I show, in both modeling and in follow-up experiments in the living system, that the generation of one motor pattern is a consequence of the nearly synchronous premotor timing information produced by the leech heartbeat CPG. For the other motor pattern, I show that premotor timing information determines the range over which motor neurons can fire while synaptic strength profiles define the actual motor progression.;These experiments provide a direct assessment of how motor neuron intrinsic properties interact with their premotor pattern of synaptic drive to produce rhythmic motor output. Furthermore, the data presented here may inform studies on motor pattern generation in other systems, including studies on recovery of locomotor control in patients with spinal cord injury.
机译:有节奏的运动模式(例如步行)部分是由有节奏的主动神经网络(称为中央模式生成器)生成的(CPG,Marder和Calabrese,1996)。通常,CPG会向运动神经元提供有规律的突触驱动,以使它们以适当的相位差协调为适合该行为的运动模式。这些驱动器的前运动模式包含定时信息和突触强度模式。无脊椎动物的制剂及其简单易用的神经系统已被用来产生原理,这些原理是突触输入的运动前模式与运动神经元相互作用以产生定型运动输出的基础(Marder和Bucher,2007)。在这里,我使用水ech心跳CPG,该系统可轻松测量运动神经元上的突触驱动模式,以解决CPG电路如何协调其运动神经元以产生定型运动模式的问题。表明,尽管分段输入模式是运动神经元输出的主要决定因素,但心脏运动神经元的内在属性在确定它们如何通过分段突触输入模式进行协调方面起着重要作用,尤其是在接收到两个输入之一时这些运动神经元接受的运动模式。在第二项研究中,我在生命系统的建模和后续实验中都表明,一种运动模式的产生是水ech产生的几乎同步的运动前定时信息的结果。心跳CPG。对于其他运动模式,我表明运动前时间信息确定了运动神经元可以发射的范围,而突触强度分布定义了实际的运动进程;这些实验直接评估了运动神经元内在特性如何与其前运动模式相互作用。突触驱动产生有节奏的电机输出。此外,此处提供的数据可能会为其他系统中运动模式生成的研究提供参考,包括脊髓损伤患者运动控制恢复的研究。

著录项

  • 作者单位

    Emory University.;

  • 授予单位 Emory University.;
  • 学科 Biology Neuroscience.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 221 p.
  • 总页数 221
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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