Wang Yangyang, Rubin Jonathan E
Department of Mathematics, University of Pittsburgh, 301 Thackeray Hall, Pittsburgh, PA, 15260, USA.
J Comput Neurosci. 2016 Dec;41(3):245-268. doi: 10.1007/s10827-016-0616-6. Epub 2016 Aug 5.
Experimental results in rodent medullary slices containing the pre-Bötzinger complex (pre-BötC) have identified multiple bursting mechanisms based on persistent sodium current (I ) and intracellular Ca. The classic two-timescale approach to the analysis of pre-BötC bursting treats the inactivation of I , the calcium concentration, as well as the Ca-dependent inactivation of IP as slow variables and considers other evolving quantities as fast variables. Based on its time course, however, it appears that a novel mixed bursting (MB) solution, observed both in recordings and in model pre-BötC neurons, involves at least three timescales. In this work, we consider a single-compartment model of a pre-BötC inspiratory neuron that can exhibit both I and Ca oscillations and has the ability to produce MB solutions. We use methods of dynamical systems theory, such as phase plane analysis, fast-slow decomposition, and bifurcation analysis, to better understand the mechanisms underlying the MB solution pattern. Rather surprisingly, we discover that a third timescale is not actually required to generate mixed bursting solutions. Through our analysis of timescales, we also elucidate how the pre-BötC neuron model can be tuned to improve the robustness of the MB solution.
在含有前包钦格复合体(pre-BötC)的啮齿动物延髓切片中的实验结果,已经确定了基于持续性钠电流(I)和细胞内钙的多种爆发机制。分析pre-BötC爆发的经典双时间尺度方法,将I的失活、钙浓度以及IP的钙依赖性失活视为慢变量,并将其他变化量视为快变量。然而,基于其时程,在记录和模型pre-BötC神经元中均观察到的一种新型混合爆发(MB)解决方案似乎涉及至少三个时间尺度。在这项工作中,我们考虑一个pre-BötC吸气神经元的单室模型,该模型既能表现出I和钙振荡,又能产生MB解决方案。我们使用动力系统理论方法,如相平面分析、快慢分解和分岔分析,以更好地理解MB解决方案模式背后的机制。相当令人惊讶的是,我们发现实际上并不需要第三个时间尺度来生成混合爆发解决方案。通过我们对时间尺度的分析,我们还阐明了如何调整pre-BötC神经元模型以提高MB解决方案的稳健性。