4.1 Article

Dual oscillator model of the respiratory neuronal network generating quantal slowing of respiratory rhythm

期刊

JOURNAL OF COMPUTATIONAL NEUROSCIENCE
卷 30, 期 2, 页码 225-240

出版社

SPRINGER
DOI: 10.1007/s10827-010-0249-0

关键词

Rhythm coupling; Neuronal networks; Respiratory rhythm generation; Quantal slowing; Numerical simulation

资金

  1. ISM Cooperative Research Program [2006-ISM-CRP-2029, 2007-ISM-CRP-2034]
  2. Ministry of Education, Science, and Culture of Japan [19200021, 20500360]
  3. Grants-in-Aid for Scientific Research [20500360, 19200021] Funding Source: KAKEN

向作者/读者索取更多资源

We developed a dual oscillator model to facilitate the understanding of dynamic interactions between the parafacial respiratory group (pFRG) and the preBotzinger complex (preBotC) neurons in the respiratory rhythm generation. Both neuronal groups were modeled as groups of 81 interconnected pacemaker neurons; the bursting cell model described by Butera and others [model 1 in Butera et al. (J Neurophysiol 81:382-397, 1999a)] were used to model the pacemaker neurons. We assumed (1) both pFRG and preBotC networks are rhythm generators, (2) preBotC receives excitatory inputs from pFRG, and pFRG receives inhibitory inputs from preBotC, and (3) persistent Na+ current conductance and synaptic current conductances are randomly distributed within each population. Our model could reproduce 1:1 coupling of bursting rhythms between pFRG and preBotC with the characteristic biphasic firing pattern of pFRG neurons, i.e., firings during pre-inspiratory and post-inspiratory phases. Compatible with experimental results, the model predicted the changes in firing pattern of pFRG neurons from biphasic expiratory to monophasic inspiratory, synchronous with preBotC neurons. Quantal slowing, a phenomena of prolonged respiratory period that jumps non-deterministically to integer multiples of the control period, was observed when the excitability of preBotC network decreased while strengths of synaptic connections between the two groups remained unchanged, suggesting that, in contrast to the earlier suggestions (Mellen et al., Neuron 37:821-826, 2003; Wittmeier et al., Proc Natl Acad Sci USA 105(46):18000-18005, 2008), quantal slowing could occur without suppressed or stochastic excitatory synaptic transmission. With a reduced excitability of preBotC network, the breakdown of synchronous bursting of preBotC neurons was predicted by simulation. We suggest that quantal slowing could result from a breakdown of synchronized bursting within the preBotC.

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