小柯机器人

研究揭示呼吸、阿片类药物诱发的呼吸抑制和喘息背后的潜在神经群动态变化
2024-01-09 10:16

美国华盛顿大学Jan-Marino Ramirez课题组揭示呼吸、阿片类药物诱发的呼吸抑制和喘息背后的潜在神经群动态变化。相关论文于2024年1月5日在线发表在《自然—神经科学》杂志上。

研究人员利用高密度电生理学、光学标记和组织学重建技术描述了15000多个髓质单元的特征。群体动力学分析揭示了通过低维神经流形的一致旋转轨迹。即使在阿片类药物诱导的呼吸抑制期间,这些旋转也能保持稳定。

在严重缺氧诱导的喘息过程中,腹侧呼吸柱(VRC)的低维动力学从旋转重新配置为全或无的弹道努力。因此,潜在动力学提供了一个统一的视角来观察参与简单而又重要的呼吸行为的大量异质神经元群的活动,并很好地描述了这些神经元群如何对各种扰动做出反应。

据介绍,呼吸至关重要,必须同时保持稳健和灵活。这种有节律的行为是在喙尾排列的一组髓核内产生和维持的,这组髓核被称为VRC。单个腹侧呼吸柱核团的节律特性已众所周知,但技术上的挑战限制了对整个VRC核团的同时检测。

附:英文原文

Title: Latent neural population dynamics underlying breathing, opioid-induced respiratory depression and gasping

Author: Bush, Nicholas Edward, Ramirez, Jan-Marino

Issue&Volume: 2024-01-05

Abstract: Breathing is vital and must be concurrently robust and flexible. This rhythmic behavior is generated and maintained within a rostrocaudally aligned set of medullary nuclei called the ventral respiratory column (VRC). The rhythmic properties of individual VRC nuclei are well known, yet technical challenges have limited the interrogation of the entire VRC population simultaneously. Here we characterize over 15,000 medullary units using high-density electrophysiology, opto-tagging and histological reconstruction. Population dynamics analysis reveals consistent rotational trajectories through a low-dimensional neural manifold. These rotations are robust and maintained even during opioid-induced respiratory depression. During severe hypoxia-induced gasping, the low-dimensional dynamics of the VRC reconfigure from rotational to all-or-none, ballistic efforts. Thus, latent dynamics provide a unifying lens onto the activities of large, heterogeneous populations of neurons involved in the simple, yet vital, behavior of breathing, and well describe how these populations respond to a variety of perturbations.

DOI: 10.1038/s41593-023-01520-3

Source: https://www.nature.com/articles/s41593-023-01520-3

Nature Neuroscience:《自然—神经科学》,创刊于1998年。隶属于施普林格·自然出版集团,最新IF:28.771
官方网址:https://www.nature.com/neuro/
投稿链接:https://mts-nn.nature.com/cgi-bin/main.plex


本期文章:《自然—神经科学》:Online/在线发表

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