A novel statistical analysis of voltage-imaging data by structural time series modeling and its application to the respiratory neuronal network
A novel statistical analysis of voltage-imaging data by structural time series modeling and its application to the respiratory neuronal network
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DOI：
10.1016/j.neures.2008.11.008
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发表时间：
2009-03-01
影响因子：
2.9
通讯作者：
Ishiguro, Makio
中科院分区：
文献类型：
--
作者：
Kawai, Shigeharu;Oku, Yoshitaka;Ishiguro, Makio
呼吸神经元网络活动可以使用电压敏感染料从体外脑干-脊髓制备的腹侧髓质光学记录。为了评估呼吸相关神经元之间的同步性和呼吸的呼吸神经元活动从光学信号的变化，我们开发了一种新的方法，通过该方法，我们能够分析呼吸相关的光学信号没有周期触发的平均。该模型被称为S形和传递函数模型，假设呼吸运动活动作为输出，每个像素的光信号作为输入，并且呼吸相关区域的活动模式的特征在于估计的模型参数值。我们发现，大鼠间歇性地显示多峰呼吸运动活动有一个相对较低的出现频率的相关像素。此外，在具有这种不稳定的呼吸运动活动的大鼠中，呼吸相关像素之间的相关性较差。相关性差是由于呼吸神经元在吸气后期募集所致。这些结果表明，呼吸神经元之间的同步性差，这是在不同的吸气时间招募，导致间歇性多峰呼吸运动输出。总之，使用所提出的方法，分析与光信号相关的无周期触发平均的光信号是可行的。该方法可广泛应用于事件相关光信号的分析。(C)2008年爱思唯尔爱尔兰有限公司和日本神经科学学会。All rights reserved.
The respiratory neuronal network activity can be optically recorded from the ventral medulla of the in vitro brainstem-spinal cord preparation using a voltage-sensitive dye. To assess the synchronicity between respiratory-related neurons and the breath-by-breath variability of respiratory neuronal activity from optical signals, we developed a novel method by which we are able to analyze respiratory-related optical signals without cycle-triggered averaging. The model, called the sigmoid and transfer function model, assumes a respiratory motor activity as the output and optical signals of each pixel as the input, and activity patterns of respiratory-related regions are characterized by estimated model parameter values. We found that rats intermittently showing multi-peaked respiratory motor activities had a relatively low appearance frequency of respiratory-related pixels. Further, correlations between respiratory-related pixels in rats with such unstable respiratory motor activities were poor. The poor correlations were caused by respiratory neurons recruited in the late inspiratory phase. These results suggest that poor synchronicity between respiratory neurons, which are recruited at various timings of inspiration, causes intermittent multi-peaked respiratory motor output. In conclusion, analyses of respiratory-related optical signals without cycle-triggered averaging are feasible by using the proposed method. This approach can be widely applied to the analysis of event-related optical signals. (C) 2008 Elsevier Ireland Ltd and the Japan Neuroscience Society. All rights reserved.