Semi-automated assessment of transdiaphragmatic pressure variability across motor behaviors.
Semi-automated assessment of transdiaphragmatic pressure variability across motor behaviors.
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DOI：
10.1016/j.resp.2015.05.009
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发表时间：
2015-08-15
影响因子：
2.3
通讯作者：
Mantilla CB
中科院分区：
文献类型：
--
作者：
Medina-Martínez JS;Greising SM;Sieck GC;Mantilla CB
我们开发并测试了一种半自动化算法，以生成一系列运动行为的解释性信息（振幅，前运动驱动和时序）的大型数据集。成年自主呼吸的麻醉小鼠（n=27）在正常呼吸、低氧-高碳酸血症和气管阻塞期间分别测量跨膜压（Pdi），其值范围为8±1至9±2至44±3 cm H2O。与其他行为相比，在气管阻塞期间，膈运动神经元的前运动驱动（通过初始60 ms期间的上升速率估计）约为5倍。Pdi振幅的变异性（标准化为每只动物自发发生的叹气）显示出在整个检查期间复杂的时间结构或动态聚类的最小证据。使用确定性模型评估连续吸气事件之间Pdi振幅的预测变量，前运动驱动和先前Pdi振幅与Pdi振幅之间存在较大的相关性（r=0.52）。这些发现突出了Pdi幅度的显著变化，其主要反映线性分量而不是随时间的复杂动态效应。
We developed and tested a semi-automated algorithm to generate large data sets of ventilatory information (amplitude, premotor drive and timing) across a range of motor behaviors. Adult spontaneously breathing, anesthetized mice (n=27) underwent measurements of transdiaphragmatic pressure (Pdi) during eupnea, hypoxia-hypercapnia, and tracheal occlusion with values ranging from 8±1 to 9±2 to 44±3 cm H2O, respectively. Premotor drive to phrenic motor neurons (estimated by the rate of rise during initial 60 ms) was ~5-fold greater during tracheal occlusion compared to other behaviors. Variability in Pdi amplitude (normalized to spontaneously occurring sighs for each animal) displayed minimal evidence of complex temporal structure or dynamic clustering across the entire period of examination. Using a deterministic model to evaluate predictor variables for Pdi amplitude between successive inspiratory events, there was a large correlation for premotor drive and preceding Pdi amplitude vs. Pdi amplitude (r=0.52). These findings highlight substantial variability in Pdi amplitude that primarily reflects linear components rather than complex, dynamic effects over time.