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基于中间神经元活动分析的脊髓运动网络功能组织

Functional Organization of the Spinal Locomotor Network Based on Analysis of Interneuronal Activity.

作者信息

Musienko Pavel E, Gorskii Oleg V, Deliagina Tatiana G, Zelenin Pavel V

机构信息

Laboratory of Neuroprosthetics, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia.

Sirius National Technical University, Sochi, Russia.

出版信息

Eur J Neurosci. 2025 Aug;62(4):e70238. doi: 10.1111/ejn.70238.

Abstract

Locomotion is a vital motor function for any living being. In vertebrates, a basic locomotor pattern is controlled by the spinal locomotor network (SLN). Although SLN has been extensively studied, due to technical difficulties, most data were obtained during fictive locomotion, and data about the activity of spinal neurons during locomotion with intact sensory feedback from limbs are extremely limited. Here, we overcame the technical problems and recorded the activity of putative spinal interneurons from spinal segments L4-L6 during treadmill forward locomotion evoked by stimulation of the mesencephalic locomotor region in the decerebrate cat. We found that neurons were activated and inactivated preferably within one of the four phase ranges presumably related to preparation for the limb lift-off, the limb lift-off, transition from the limb flexion to limb extension during swing, and the limb touch-down. We analyzed the activity phases of recorded interneurons by using a new method that took into account the previously ignored information about the stability of neuronal modulation in the sequential locomotor cycles. We suggested that neurons with stable modulation (i.e., small dispersion of their activity phase in sequential cycles) represent the core of SLN. Our analysis revealed groups of neurons active approximately out of phase and presumably contributing to the control of vertical (VC) and horizontal (HC) components of the step. We found that most VC- and HC-related neurons were located in the intermediate and dorsal/ventral parts of the grey matter, respectively. Our experimental data can be used as a benchmark for computational models of locomotor neuronal networks.

摘要

运动是任何生物至关重要的运动功能。在脊椎动物中,基本的运动模式由脊髓运动网络(SLN)控制。尽管对SLN已进行了广泛研究,但由于技术困难,大多数数据是在虚拟运动期间获得的,而关于在具有来自肢体的完整感觉反馈的运动过程中脊髓神经元活动的数据极其有限。在此,我们克服了技术问题,记录了在去大脑猫中刺激中脑运动区诱发的跑步机向前运动期间,来自腰4-腰6脊髓节段的假定脊髓中间神经元的活动。我们发现,神经元优选在四个相位范围内之一被激活和失活,这四个相位范围大概与肢体离地准备、肢体离地、摆动期间从肢体屈曲到肢体伸展的过渡以及肢体着地有关。我们使用一种新方法分析了记录的中间神经元的活动相位,该方法考虑了先前在连续运动周期中关于神经元调制稳定性的被忽视的信息。我们认为具有稳定调制的神经元(即其活动相位在连续周期中的分散较小)代表了SLN的核心。我们的分析揭示了大致不同相位活跃的神经元组,它们可能有助于控制步幅的垂直(VC)和水平(HC)分量。我们发现,大多数与VC和HC相关的神经元分别位于灰质的中间部分和背侧/腹侧部分。我们的实验数据可作为运动神经元网络计算模型的基准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0338/12391573/88b29d96ec54/EJN-62-0-g007.jpg

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