Literature DB >> 26899961

Modeling the effects of extracellular potassium on bursting properties in pre-Bötzinger complex neurons.

Bartholomew J Bacak1, Joshua Segaran2, Yaroslav I Molkov3.   

Abstract

There are many types of neurons that intrinsically generate rhythmic bursting activity, even when isolated, and these neurons underlie several specific motor behaviors. Rhythmic neurons that drive the inspiratory phase of respiration are located in the medullary pre-Bötzinger Complex (pre-BötC). However, it is not known if their rhythmic bursting is the result of intrinsic mechanisms or synaptic interactions. In many cases, for bursting to occur, the excitability of these neurons needs to be elevated. This excitation is provided in vitro (e.g. in slices), by increasing extracellular potassium concentration (K out) well beyond physiologic levels. Elevated K out shifts the reversal potentials for all potassium currents including the potassium component of leakage to higher values. However, how an increase in K out , and the resultant changes in potassium currents, induce bursting activity, have yet to be established. Moreover, it is not known if the endogenous bursting induced in vitro is representative of neural behavior in vivo. Our modeling study examines the interplay between K out, excitability, and selected currents, as they relate to endogenous rhythmic bursting. Starting with a Hodgkin-Huxley formalization of a pre-BötC neuron, a potassium ion component was incorporated into the leakage current, and model behaviors were investigated at varying concentrations of K out. Our simulations show that endogenous bursting activity, evoked in vitro by elevation of K out , is the result of a specific relationship between the leakage and voltage-dependent, delayed rectifier potassium currents, which may not be observed at physiological levels of extracellular potassium.

Entities:  

Keywords:  Computational modeling; Neuron bursting; Potassium channels; Pre-Bötzinger Complex

Mesh:

Substances:

Year:  2016        PMID: 26899961      PMCID: PMC4804891          DOI: 10.1007/s10827-016-0594-8

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  51 in total

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Review 2.  Respiratory rhythm generation: converging concepts from in vitro and in vivo approaches?

Authors:  Jan-Marino Ramirez; Edward J Zuperku; George F Alheid; Steven P Lieske; Krzysztof Ptak; Donald R McCrimmon
Journal:  Respir Physiol Neurobiol       Date:  2002-07       Impact factor: 1.931

3.  The role of spiking and bursting pacemakers in the neuronal control of breathing.

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Journal:  J Biol Phys       Date:  2011-03-22       Impact factor: 1.365

Review 4.  Modeling the ponto-medullary respiratory network.

Authors:  I A Rybak; N A Shevtsova; J F R Paton; T E Dick; W M St-John; M Mörschel; M Dutschmann
Journal:  Respir Physiol Neurobiol       Date:  2004-11-15       Impact factor: 1.931

5.  Calcium-activated nonspecific cation current and synaptic depression promote network-dependent burst oscillations.

Authors:  Jonathan E Rubin; John A Hayes; Jeffrey L Mendenhall; Christopher A Del Negro
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-05       Impact factor: 11.205

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Journal:  Fed Proc       Date:  1985-12

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Authors:  W M St John
Journal:  J Appl Physiol (1985)       Date:  1990-04

8.  Potassium channel blockers attenuate hypoxia- and ischemia-induced neuronal death in vitro and in vivo.

Authors:  Ling Wei; Shan Ping Yu; Frank Gottron; B Joy Snider; Gregory J Zipfel; Dennis W Choi
Journal:  Stroke       Date:  2003-04-03       Impact factor: 7.914

9.  Pacemaker behavior of respiratory neurons in medullary slices from neonatal rat.

Authors:  S M Johnson; J C Smith; G D Funk; J L Feldman
Journal:  J Neurophysiol       Date:  1994-12       Impact factor: 2.714

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

Authors:  Ilya A Rybak; Natalia A Shevtsova; Krzysztof Ptak; Donald R McCrimmon
Journal:  Biol Cybern       Date:  2004-01-21       Impact factor: 2.086

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  2 in total

1.  Biophysical mechanisms in the mammalian respiratory oscillator re-examined with a new data-driven computational model.

Authors:  Ryan S Phillips; Tibin T John; Hidehiko Koizumi; Yaroslav I Molkov; Jeffrey C Smith
Journal:  Elife       Date:  2019-03-25       Impact factor: 8.140

2.  Robustness of respiratory rhythm generation across dynamic regimes.

Authors:  Jonathan E Rubin; Jeffrey C Smith
Journal:  PLoS Comput Biol       Date:  2019-07-30       Impact factor: 4.475

  2 in total

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