Systematic analysis of synchronized oscillatory neuronal networks reveals an enrichment for coupled direct and indirect feedback motifs
Systematic analysis of synchronized oscillatory neuronal networks reveals an enrichment for coupled direct and indirect feedback motifs
复制标题
DOI：
10.1093/bioinformatics/btp271
复制
发表时间：
2009-07-01
期刊：
影响因子：
5.8
通讯作者：
Cho, Kwang-Hyun
中科院分区：
文献类型：
--
作者：
Dong, Chao-Yi;Lim, Jisoon;Cho, Kwang-Hyun
动机：同步爆发行为是神经动力学中的一种显著现象。因此，识别潜在的功能结构对于在系统水平上理解其调控机制至关重要。另一方面，我们注意到反馈环(FBL)是工程电路设计中常用的基本构件，特别是对于同步来说，它们也被认为是系统生物学中重要的调控网络基元。结果：通过对合成脉冲振荡模型的大量模拟，我们发现一种特殊结构的正反馈环路，即直接正反馈环路和间接正反馈环路相结合，可以诱导出稳健的同步爆发行为。为了进一步研究这一问题，我们提出了一种新的基于采样时间序列数据的FBL识别方法，并将其应用于利用多电极阵列从培养的大鼠神经网络测量的同步放电记录。结论：尽管将这一结果外推到活体脑动力学仍是一个未解决的问题，但直接和间接PFL的耦合可能是导致神经元网络中同步爆发行为的一个重要设计原则。
Motivation: Synchronized bursting behavior is a remarkable phenomenon in neural dynamics. So, identification of the underlying functional structure is crucial to understand its regulatory mechanism at a system level. On the other hand, we noted that feedback loops (FBLs) are commonly used basic building blocks in engineering circuit design, especially for synchronization, and they have also been considered as important regulatory network motifs in systems biology. From these motivations, we have investigated the relationship between synchronized bursting behavior and feedback motifs in neural networks.Results: Through extensive simulations of synthetic spike oscillation models, we found that a particular structure of FBLs, coupled direct and indirect positive feedback loops (PFLs), can induce robust synchronized bursting behaviors. To further investigate this, we have developed a novel FBL identification method based on sampled time-series data and applied it to synchronized spiking records measured from cultured neural networks of rat by using multi-electrode array. As a result, we have identified coupled direct and indirect PFLs.Conclusion: We therefore conclude that coupled direct and indirect PFLs might be an important design principle that causes the synchronized bursting behavior in neuronal networks although an extrapolation of this result to in vivo brain dynamics still remains an unanswered question.