运动系统的反复抑制,比较分析

Lidia Szczupak
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引用次数: 14

摘要

这篇综述提出了脊椎动物运动系统和水蛭神经系统中反复抑制的比较,其中详细的细胞和功能分析已经完成。一项比较研究表明,在系统发育较远的物种的运动系统中,反复抑制是一种保守的特性。在哺乳动物的脊髓中,反复抑制已被广泛表征,其中Renshaw细胞接受来自运动神经元(MNs)的兴奋性突触输入,并反过来对MNs施加抑制作用。在水蛭体内,一个循环抑制回路被描述为以一对非尖峰(NS)神经元为中心。NS通过整流电结与每个兴奋性MN相连。此外,MNs通过超极化化学突触与NS神经元相连。对水蛭神经回路的功能分析表明,水蛭内异位神经元是电偶联的,这种偶联是由NS神经元的膜电位调节的。与Renshaw细胞一样,NS神经元的膜电位与节律性运动模式相振荡。对水蛭的功能分析表明,爬行过程中神经网络影响了神经网络的活性,表明循环抑制回路调节了运动表现。
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Recurrent inhibition in motor systems, a comparative analysis

The review proposes a comparison between recurrent inhibition in motor systems of vertebrates and the leech nervous system, where a detailed cellular and functional analysis has been accomplished. A comparative study shows that recurrent inhibition is a conserved property in motor systems of phylogenetically distant species. Recurrent inhibition has been extensively characterized in the spinal cord of mammals, where Renshaw cells receive excitatory synaptic inputs from motoneurons (MNs) and, in turn, exert an inhibitory effect on the MNs. In the leech, a recurrent inhibitory circuit has been described, centered around a pair of nonspiking (NS) neurons. NS are linked to every excitatory MN through rectifying electrical junctions. And, in addition, the MNs are linked to the NS neurons through hyperpolarizing chemical synapses. Functional analysis of this leech circuit showed that heteronymous MNs in the leech are electrically coupled and this coupling is modulated by the membrane potential of NS neurons. Like Renshaw cells, the membrane potential of NS neurons oscillates in phase with rhythmic motor patterns. Functional analysis performed in the leech shows that NS influences the activity of MNs in the course of crawling suggesting that the recurrent inhibitory circuit modulates the motor performance.

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来源期刊
Journal of Physiology-Paris
Journal of Physiology-Paris 医学-神经科学
CiteScore
2.02
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Each issue of the Journal of Physiology (Paris) is specially commissioned, and provides an overview of one important area of neuroscience, delivering review and research papers from leading researchers in that field. The content will interest both those specializing in the experimental study of the brain and those working in interdisciplinary fields linking theory and biological data, including cellular neuroscience, mathematical analysis of brain function, computational neuroscience, biophysics of brain imaging and cognitive psychology.
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