Literature DB >> 14762725

Intrinsic bursting activity in the pre-Bötzinger complex: role of persistent sodium and potassium currents.

Ilya A Rybak1, Natalia A Shevtsova, Krzysztof Ptak, Donald R McCrimmon.   

Abstract

Computational models of single pacemaker neuron and neural population in the pre-Bötzinger Complex (pBC) were developed based on the previous models by Butera et al. (1999a,b). Our modeling study focused on the conditions that could define endogenous bursting vs. tonic activity in single pacemaker neurons and population bursting vs. asynchronous firing in populations of pacemaker neurons. We show that both bursting activity in single pacemaker neurons and population bursting activity may be released or suppressed depending on the expression of persistent sodium ( I(Na) P) and delayed-rectifier potassium ( I(K)) currents. Specifically, a transition from asynchronous firing to population bursting could be induced by a reduction of I(K) via a direct suppression of the potassium conductance or through an elevation of extracellular potassium concentration. Similar population bursting activity could be triggered by an augmentation of I(Na) P. These findings are discussed in the context of the possible role of population bursting activity in the pBC in the respiratory rhythm generation in vivo vs. in vitro and during normal breathing in vivo vs. gasping.

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Year:  2004        PMID: 14762725     DOI: 10.1007/s00422-003-0447-1

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  36 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.  Parameter estimation for bursting neural models.

Authors:  Joseph H Tien; John Guckenheimer
Journal:  J Comput Neurosci       Date:  2007-11-13       Impact factor: 1.621

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

Authors:  Jonathan E Rubin; Natalia A Shevtsova; G Bard Ermentrout; Jeffrey C Smith; Ilya A Rybak
Journal:  J Neurophysiol       Date:  2009-02-04       Impact factor: 2.714

4.  Reconfiguration of the pontomedullary respiratory network: a computational modeling study with coordinated in vivo experiments.

Authors:  I A Rybak; R O'Connor; A Ross; N A Shevtsova; S C Nuding; L S Segers; R Shannon; T E Dick; W L Dunin-Barkowski; J M Orem; I C Solomon; K F Morris; B G Lindsey
Journal:  J Neurophysiol       Date:  2008-07-23       Impact factor: 2.714

Review 5.  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

Review 6.  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

Review 7.  Modeling the mammalian locomotor CPG: insights from mistakes and perturbations.

Authors:  David A McCrea; Ilya A Rybak
Journal:  Prog Brain Res       Date:  2007       Impact factor: 2.453

Review 8.  Facing the challenge of mammalian neural microcircuits: taking a few breaths may help.

Authors:  Jack L Feldman; Kaiwen Kam
Journal:  J Physiol       Date:  2015-01-01       Impact factor: 5.182

9.  Organization of left-right coordination of neuronal activity in the mammalian spinal cord: Insights from computational modelling.

Authors:  Natalia A Shevtsova; Adolfo E Talpalar; Sergey N Markin; Ronald M Harris-Warrick; Ole Kiehn; Ilya A Rybak
Journal:  J Physiol       Date:  2015-06-01       Impact factor: 5.182

10.  Effects of ion channel noise on neural circuits: an application to the respiratory pattern generator to investigate breathing variability.

Authors:  Haitao Yu; Rishi R Dhingra; Thomas E Dick; Roberto F Galán
Journal:  J Neurophysiol       Date:  2016-10-19       Impact factor: 2.714

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