Literature DB >> 10967340

Respiratory rhythm generation in neonatal and adult mammals: the hybrid pacemaker-network model.

J C Smith1, R J Butera, N Koshiya, C Del Negro, C G Wilson, S M Johnson.   

Abstract

We review a new unified model of respiratory rhythm generation - the hybrid pacemaker-network model. This model represents a comprehensive synthesis of cellular and network mechanisms that can theoretically account for rhythm generation in different functional states, from the most reduced states in the neonatal nervous system in vitro to the intact adult system in vivo. The model incorporates a critical neuronal kernel consisting of a network of excitatory neurons with state-dependent, oscillatory bursting or pacemaker properties. This kernel, located in the pre-Bötzinger complex of the ventrolateral medulla, provides a rudimentary pacemaker network mechanism for generating an inspiratory rhythm, revealed predominately in functionally reduced states in vitro. In vivo the kernel is embedded in a larger network that interacts with the kernel via inhibitory synaptic connections that provide the dynamic control required for the evolution of the complete pattern of inspiratory and expiratory network activity. The resulting hybrid of cellular pacemaker and network properties functionally endows the system with multiple mechanisms of rhythm generation. New biophysically realistic mathematical models of the hybrid pacemaker-network have been developed that illustrate these concepts and provide a computational framework for investigating interactions of cellular and network processes that must be analyzed to understand rhythm generation.

Mesh:

Year:  2000        PMID: 10967340     DOI: 10.1016/s0034-5687(00)00155-9

Source DB:  PubMed          Journal:  Respir Physiol        ISSN: 0034-5687


  76 in total

1.  Stabilization of bursting in respiratory pacemaker neurons.

Authors:  Andrew K Tryba; Fernando Peña; Jan-Marino Ramirez
Journal:  J Neurosci       Date:  2003-04-15       Impact factor: 6.167

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

Authors:  Jonathan E Rubin; Bartholomew J Bacak; Yaroslav I Molkov; Natalia A Shevtsova; Jeffrey C Smith; Ilya A Rybak
Journal:  J Comput Neurosci       Date:  2010-10-07       Impact factor: 1.621

3.  Effects of thyroliberin on membrane potential and the pattern of spontaneous activity of neurons in the respiratory center in in vitro studies in rats.

Authors:  A N Inyushkin
Journal:  Neurosci Behav Physiol       Date:  2004-06

4.  Comparative characteristics of respiratory pattern responses to microinjection of kainic acid into different parts of the nucleus ambiguus.

Authors:  A N Inyushkin; Yu V Ivanova; E I Ten'gaev
Journal:  Neurosci Behav Physiol       Date:  2003-11

Review 5.  Invertebrate central pattern generator circuits.

Authors:  Allen I Selverston
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-12       Impact factor: 6.237

6.  Late-expiratory activity: emergence and interactions with the respiratory CpG.

Authors:  Yaroslav I Molkov; Ana P L Abdala; Bartholomew J Bacak; Jeffrey C Smith; Julian F R Paton; Ilya A Rybak
Journal:  J Neurophysiol       Date:  2010-09-08       Impact factor: 2.714

7.  TASK channels contribute to the K+-dominated leak current regulating respiratory rhythm generation in vitro.

Authors:  Hidehiko Koizumi; Stanley E Smerin; Tadashi Yamanishi; Bindiya R Moorjani; Ruli Zhang; Jeffrey C Smith
Journal:  J Neurosci       Date:  2010-03-24       Impact factor: 6.167

8.  Fluorescent tagging of rhythmically active respiratory neurons within the pre-Bötzinger complex of rat medullary slice preparations.

Authors:  Silvia Pagliardini; Tadafumi Adachi; Jun Ren; Gregory D Funk; John J Greer
Journal:  J Neurosci       Date:  2005-03-09       Impact factor: 6.167

9.  The sound of silence is music to the heart.

Authors:  P D Larsen; D C Galletly
Journal:  Heart       Date:  2005-12-09       Impact factor: 5.994

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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