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蟑螂运动中枢中的内源性节律与模式生成回路相互作用

Endogenous rhythm and pattern-generating circuit interactions in cockroach motor centres.

作者信息

David Izhak, Holmes Philip, Ayali Amir

机构信息

Department of Zoology, Tel Aviv University, Tel Aviv 6997801, Israel.

Department of Mechanical and Aerospace Engineering, Program in Applied and Computational Mathematics, Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA.

出版信息

Biol Open. 2016 Sep 15;5(9):1229-40. doi: 10.1242/bio.018705.

Abstract

Cockroaches are rapid and stable runners whose gaits emerge from the intricate, and not fully resolved, interplay between endogenous oscillatory pattern-generating networks and sensory feedback that shapes their rhythmic output. Here we studied the endogenous motor output of a brainless, deafferented preparation. We monitored the pilocarpine-induced rhythmic activity of levator and depressor motor neurons in the mesothoracic and metathoracic segments in order to reveal the oscillatory networks' architecture and interactions. Data analyses included phase relations, latencies between and overlaps of rhythmic bursts, spike frequencies, and the dependence of these parameters on cycle frequency. We found that, overall, ipsilateral connections are stronger than contralateral ones. Our findings revealed asymmetries in connectivity among the different ganglia, in which meta-to-mesothoracic ascending coupling is stronger than meso-to-metathoracic descending coupling. Within-ganglion coupling between the metathoracic hemiganglia is stronger than that in the mesothoracic ganglion. We also report differences in the role and mode of operation of homologue network units (manifested by levator and depressor nerve activity). Many observed characteristics are similar to those exhibited by intact animals, suggesting a dominant role for feedforward control in cockroach locomotion. Based on these data we posit a connectivity scheme among components of the locomotion pattern generating system.

摘要

蟑螂是快速且稳定的奔跑者,其步态源自内源性振荡模式生成网络与感觉反馈之间复杂且尚未完全解析的相互作用,这种相互作用塑造了它们的节律输出。在此,我们研究了一种无脑、去传入神经的标本的内源性运动输出。我们监测了毛果芸香碱诱导的中胸和后胸节段提肌和降肌运动神经元的节律性活动,以揭示振荡网络的结构和相互作用。数据分析包括相位关系、节律性爆发之间的潜伏期和重叠、脉冲频率,以及这些参数对周期频率的依赖性。我们发现,总体而言,同侧连接比 contralateral 连接更强。我们的研究结果揭示了不同神经节之间连接性的不对称性,其中后胸到中胸的上行耦合比中胸到后胸的下行耦合更强。后胸半神经节内的神经节内耦合比中胸神经节内的更强。我们还报告了同源网络单元(以提肌和降肌神经活动表现)的作用和运作模式的差异。许多观察到的特征与完整动物表现出的特征相似,这表明前馈控制在蟑螂运动中起主导作用。基于这些数据,我们提出了运动模式生成系统各组成部分之间的连接方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef40/5051644/d7326a35e66d/biolopen-5-018705-g1.jpg

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