ROLE OF THE MAUTHNER CELL IN SENSORIMOTOR INTEGRATION BY THE BRAIN-STEM ESCAPE NETWORK
ROLE OF THE MAUTHNER CELL IN SENSORIMOTOR INTEGRATION BY THE BRAIN-STEM ESCAPE NETWORK
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DOI：
10.1159/000114365
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发表时间：
1991-05-01
影响因子：
1.7
通讯作者：
NISSANOV, J
中科院分区：
文献类型：
--
作者：
EATON, RC;DIDOMENICO, R;NISSANOV, J
毛特纳神经元已经成为鱼类C - start逃避反应的代名词。C型起跑是由两部分组成的动作模式。首先，鱼弯曲它的身体，这样从上面看它就有一个c形的轮廓（阶段1）。第二，鱼迅速加速离开起始位置（阶段2）。直到最近，还不可能确定毛特纳细胞活性对这种行为表达的贡献。在本文中，我们将重点介绍我们最近发表的三篇关于这个问题的论文。我们的工作结合了C - start的高速数字图像分析，慢性毛特纳细胞和肌电图记录，毛特纳细胞的病变，以及游泳鱼类单个毛特纳轴突的刺激。这项工作表明，毛特纳细胞的放电导致短潜伏期的身体收缩，使C细胞的初始阶段远离威胁性刺激的方向。然而，逃逸轨迹的方向与刺激的角度更紧密地联系在一起，而不是仅仅由毛特纳细胞和它的突触后追随者的放电来解释。因此，轨迹的精确控制必须需要其他神经元的参与。这些神经元和毛特纳细胞一起形成了一个系统，我们称之为脑干逃逸网络。我们已经确定了该网络的候选神经元，现在可以在单细胞水平上进行研究。由于其易于进行神经生理学研究和神经解剖学的简单性，我们认为脑干逃逸网络为理解脑干感觉运动整合的基本过程提供了有益的准备。
The Mauthner neurons have become synonymous with the C start evasive response of fishes. C starts are a two-part movement pattern. First, the fish bends its body so that it has a C-like profile (stage 1) when viewed from above. Second, the fish rapidly accelerates away from its starting position (stage 2). Until recently, it has not been possible to determine the contribution of Mauthner cell activity to the expression of this behavior. In this paper we focus on three of our recent papers that address this issue. Our work combines high-speed digital image analysis of the C start with chronic Mauthner cell and electromyographic recordings, lesions of the Mauthner cells, and stimulation of single Mauthner axons in swimming fishes. This work shows that the firing of the Mauthner cell results in a short-latency body contraction that orients the initial stage of the C start away from the direction of the threatening stimulus. The direction of the escape trajectory, however, is more finely tuned to stimulus angle than can be explained by the firing of just the Mauthner cell and its postsynaptic followers. Precise control of trajectory must, therefore, require participation of other neurons. These neurons together with the Mauthner cell form a system that we term the brain stem escape network. We have identified candidate neurons of this network which can now be studied at the single-cell level. Because of both its accessibility for neurophysiological study and its neuroanatomical simplicity, we assert that the brain stem escape network is a useful preparation for understanding fundamental processes of sensorimotor integration in the brain stem.