Literature DB >> 10400966

Models of respiratory rhythm generation in the pre-Bötzinger complex. I. Bursting pacemaker neurons.

R J Butera1, J Rinzel, J C Smith.   

Abstract

A network of oscillatory bursting neurons with excitatory coupling is hypothesized to define the primary kernel for respiratory rhythm generation in the pre-Bötzinger complex (pre-BötC) in mammals. Two minimal models of these neurons are proposed. In model 1, bursting arises via fast activation and slow inactivation of a persistent Na+ current INaP-h. In model 2, bursting arises via a fast-activating persistent Na+ current INaP and slow activation of a K+ current IKS. In both models, action potentials are generated via fast Na+ and K+ currents. The two models have few differences in parameters to facilitate a rigorous comparison of the two different burst-generating mechanisms. Both models are consistent with many of the dynamic features of electrophysiological recordings from pre-BötC oscillatory bursting neurons in vitro, including voltage-dependent activity modes (silence, bursting, and beating), a voltage-dependent burst frequency that can vary from 0.05 to >1 Hz, and a decaying spike frequency during bursting. These results are robust and persist across a wide range of parameter values for both models. However, the dynamics of model 1 are more consistent with experimental data in that the burst duration decreases as the baseline membrane potential is depolarized and the model has a relatively flat membrane potential trajectory during the interburst interval. We propose several experimental tests to demonstrate the validity of either model and to differentiate between the two mechanisms.

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Year:  1999        PMID: 10400966     DOI: 10.1152/jn.1999.82.1.382

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  149 in total

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2.  Stabilization of bursting in respiratory pacemaker neurons.

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4.  Interacting oscillations in neural control of breathing: modeling and qualitative analysis.

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5.  Nonlinear Dynamics of Neuronal Excitability, Oscillations, and Coincidence Detection.

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Journal:  Commun Pure Appl Math       Date:  2013-09       Impact factor: 3.219

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7.  Qualitative validation of the reduction from two reciprocally coupled neurons to one self-coupled neuron in a respiratory network model.

Authors:  Justin R Dunmyre
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8.  The role of spiking and bursting pacemakers in the neuronal control of breathing.

Authors:  Jan-Marino Ramirez; Henner Koch; Alfredo J Garcia; Atsushi Doi; Sebastien Zanella
Journal:  J Biol Phys       Date:  2011-03-22       Impact factor: 1.365

9.  Synaptic patterning of left-right alternation in a computational model of the rodent hindlimb central pattern generator.

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Journal:  J Comput Neurosci       Date:  2010-07-20       Impact factor: 1.621

10.  Eupnea, tachypnea, and autoresuscitation in a closed-loop respiratory control model.

Authors:  Casey O Diekman; Peter J Thomas; Christopher G Wilson
Journal:  J Neurophysiol       Date:  2017-07-19       Impact factor: 2.714

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