Literature DB >> 19193773

Multiple rhythmic states in a model of the respiratory central pattern generator.

Jonathan E Rubin1, Natalia A Shevtsova, G Bard Ermentrout, Jeffrey C Smith, Ilya A Rybak.   

Abstract

The three-phase respiratory pattern observed during normal breathing changes with alterations in metabolic or physiological conditions. A recent study using in situ perfused rat brain preparations demonstrated a reorganization of the respiratory pattern with sequential reduction of the brain stem respiratory network. Specifically, with removal of the pons, the normal three-phase pattern transformed to a two-phase inspiratory-expiratory pattern and, with more caudal transections, to one-phase, intrinsically generated inspiratory oscillations. A minimal neural network proposed to reproduce these transformations includes 1) a ringlike mutually inhibitory network composed of the postinspiratory, augmenting expiratory, and early-inspiratory neurons and 2) an excitatory preinspiratory neuron, with persistent sodium current (I(NaP))-dependent intrinsic bursting properties, that dynamically participates in the expiratory-inspiratory phase transition and inspiratory phase generation. We used activity-based single-neuron models and applied numerical simulations, bifurcation methods, and fast-slow decomposition to describe the behavior of this network in the functional states corresponding to the three-, two-, and one-phase oscillatory regimes, as well as to analyze the transitions between states and between respiratory phases within each state. We demonstrate that, although I(NaP) is not necessary for the generation of three- and two-phase oscillations, it contributes to control of the oscillation period in each state. We also show that the transitions between states can be produced by progressive changes of drives to particular neurons and proceed through intermediate regimes, featuring high-amplitude late-expiratory and biphasic-expiratory activities or ectopic burst generation. Our results provide important insights for understanding the state-dependent mechanisms for respiratory rhythm generation and control.

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Year:  2009        PMID: 19193773      PMCID: PMC2695631          DOI: 10.1152/jn.90958.2008

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


  64 in total

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Review 4.  Spatial organization and state-dependent mechanisms for respiratory rhythm and pattern generation.

Authors:  Ilya A Rybak; Ana P L Abdala; Sergey N Markin; Julian F R Paton; Jeffrey C Smith
Journal:  Prog Brain Res       Date:  2007       Impact factor: 2.453

5.  The Kölliker-Fuse nucleus gates the postinspiratory phase of the respiratory cycle to control inspiratory off-switch and upper airway resistance in rat.

Authors:  Mathias Dutschmann; Horst Herbert
Journal:  Eur J Neurosci       Date:  2006-08       Impact factor: 3.386

6.  Mechanisms of frequency and pattern control in the neural rhythm generators.

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Journal:  Biol Cybern       Date:  1987       Impact factor: 2.086

7.  Simulations of a ventrolateral medullary neural network for respiratory rhythmogenesis inferred from spike train cross-correlation.

Authors:  U J Balis; K F Morris; J Koleski; B G Lindsey
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8.  Inspiratory bursts in the preBötzinger complex depend on a calcium-activated non-specific cation current linked to glutamate receptors in neonatal mice.

Authors:  Ryland W Pace; Devin D Mackay; Jack L Feldman; Christopher A Del Negro
Journal:  J Physiol       Date:  2007-04-19       Impact factor: 5.182

9.  Brainstem and spinal projections of augmenting expiratory neurons in the rat.

Authors:  Kazuhisa Ezure; Ikuko Tanaka; Yoshiaki Saito
Journal:  Neurosci Res       Date:  2003-01       Impact factor: 3.304

10.  Distinct rhythm generators for inspiration and expiration in the juvenile rat.

Authors:  Wiktor A Janczewski; Jack L Feldman
Journal:  J Physiol       Date:  2005-11-17       Impact factor: 6.228

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  59 in total

1.  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

2.  Pre-Bötzinger complex receives glutamatergic innervation from galaninergic and other retrotrapezoid nucleus neurons.

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3.  Phox2b-expressing neurons of the parafacial region regulate breathing rate, inspiration, and expiration in conscious rats.

Authors:  Stephen B G Abbott; Ruth L Stornetta; Melissa B Coates; Patrice G Guyenet
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4.  Interaction between telencephalic signals and respiratory dynamics in songbirds.

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Journal:  J Neurophysiol       Date:  2012-03-07       Impact factor: 2.714

5.  Site-specific effects on respiratory rhythm and pattern of ibotenic acid injections in the pontine respiratory group of goats.

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Journal:  J Appl Physiol (1985)       Date:  2010-04-29

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

Review 7.  Respiratory rhythm generation in vivo.

Authors:  Diethelm W Richter; Jeffrey C Smith
Journal:  Physiology (Bethesda)       Date:  2014-01

Review 8.  Structural and functional architecture of respiratory networks in the mammalian brainstem.

Authors:  Jeffrey C Smith; Ana P L Abdala; Ilya A Rybak; Julian F R Paton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-09-12       Impact factor: 6.237

9.  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

Review 10.  Brainstem respiratory networks: building blocks and microcircuits.

Authors:  Jeffrey C Smith; Ana P L Abdala; Anke Borgmann; Ilya A Rybak; Julian F R Paton
Journal:  Trends Neurosci       Date:  2012-12-17       Impact factor: 13.837

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