Patterns of inspiratory phase-dependent activity in the in vitro respiratory network
Patterns of inspiratory phase-dependent activity in the in vitro respiratory network
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DOI：
10.1152/jn.00619.2012
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发表时间：
2013-01-01
影响因子：
2.5
通讯作者：
Ramirez, Jan-Marino
中科院分区：
文献类型：
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作者：
Carroll, Michael S.;Viemari, Jean-Charles;Ramirez, Jan-Marino
卡罗尔MS、维马里JC、拉米雷斯JM。体外呼吸网络中吸气时相依赖性活动的模式。J Neurophysiol 109：285-295，2013.首次发表于2012年10月17日; doi：10.1152/jn.00619.2012.-节律神经网络的机制描述通常依赖于球杆图，它定义了假设为合理同质的功能类细胞之间的相互作用。将这种形式主义应用于哺乳动物呼吸节律生成的基础网络已经产生了越来越复杂的模型，这些模型已经产生了重要的见解，但是这些网络中的单个细胞属于不同的功能类别的基本假设尚未得到严格的测试。在本研究中，我们使用多单位的细胞外记录在体外前Btzinger复合物，以确定和表征951细胞的节律性活动。吸气时相依赖的活动估计所有的细胞，并作为一个整体的数据集进行了分析，主成分分析，非线性降维，和层次聚类技术。这些技术都没有揭示出明显不同的功能细胞类别，而是表明这些细胞在网络中的行为福尔斯沿着沿着几个连续的尖峰行为下降。
Carroll MS, Viemari JC, Ramirez JM. Patterns of inspiratory phase-dependent activity in the in vitro respiratory network. J Neurophysiol 109: 285-295, 2013. First published October 17, 2012; doi: 10.1152/jn.00619.2012.-Mechanistic descriptions of rhythmogenic neural networks have often relied on ball-and-stick diagrams, which define interactions between functional classes of cells assumed to be reasonably homogenous. Application of this formalism to networks underlying respiratory rhythm generation in mammals has produced increasingly intricate models that have generated significant insight, but the underlying assumption that individual cells within these network fall into distinct functional classes has not been rigorously tested. In the present study we used multiunit extracellular recording in the in vitro pre-Btzinger complex to identify and characterize the rhythmic activity of 951 cells. Inspiratory phase-dependent activity was estimated for all cells, and the data set as a whole was analyzed with principal component analysis, nonlinear dimensionality reduction, and hierarchical clustering techniques. None of these techniques revealed categorically distinct functional cell classes, indicating instead that the behavior of these cells within the network falls along several continua of spiking behavior.