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Biophysical mechanisms in the mammalian respiratory oscillator re-examined with a new data-driven computational model
An autorhythmic population of excitatory neurons in the brainstem pre-Bötzinger complex is a critical component of the mammalian respiratory oscillator. Two intrinsic neuronal biophysical mechanisms—a persistent sodium current ([Formula: see text]) and a calcium-activated non-selective cationic curr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6433470/ https://www.ncbi.nlm.nih.gov/pubmed/30907727 http://dx.doi.org/10.7554/eLife.41555 |
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author | Phillips, Ryan S John, Tibin T Koizumi, Hidehiko Molkov, Yaroslav I Smith, Jeffrey C |
author_facet | Phillips, Ryan S John, Tibin T Koizumi, Hidehiko Molkov, Yaroslav I Smith, Jeffrey C |
author_sort | Phillips, Ryan S |
collection | PubMed |
description | An autorhythmic population of excitatory neurons in the brainstem pre-Bötzinger complex is a critical component of the mammalian respiratory oscillator. Two intrinsic neuronal biophysical mechanisms—a persistent sodium current ([Formula: see text]) and a calcium-activated non-selective cationic current ([Formula: see text])—were proposed to individually or in combination generate cellular- and circuit-level oscillations, but their roles are debated without resolution. We re-examined these roles in a model of a synaptically connected population of excitatory neurons with [Formula: see text] and [Formula: see text]. This model robustly reproduces experimental data showing that rhythm generation can be independent of [Formula: see text] activation, which determines population activity amplitude. This occurs when [Formula: see text] is primarily activated by neuronal calcium fluxes driven by synaptic mechanisms. Rhythm depends critically on [Formula: see text] in a subpopulation forming the rhythmogenic kernel. The model explains how the rhythm and amplitude of respiratory oscillations involve distinct biophysical mechanisms. |
format | Online Article Text |
id | pubmed-6433470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-64334702019-03-27 Biophysical mechanisms in the mammalian respiratory oscillator re-examined with a new data-driven computational model Phillips, Ryan S John, Tibin T Koizumi, Hidehiko Molkov, Yaroslav I Smith, Jeffrey C eLife Computational and Systems Biology An autorhythmic population of excitatory neurons in the brainstem pre-Bötzinger complex is a critical component of the mammalian respiratory oscillator. Two intrinsic neuronal biophysical mechanisms—a persistent sodium current ([Formula: see text]) and a calcium-activated non-selective cationic current ([Formula: see text])—were proposed to individually or in combination generate cellular- and circuit-level oscillations, but their roles are debated without resolution. We re-examined these roles in a model of a synaptically connected population of excitatory neurons with [Formula: see text] and [Formula: see text]. This model robustly reproduces experimental data showing that rhythm generation can be independent of [Formula: see text] activation, which determines population activity amplitude. This occurs when [Formula: see text] is primarily activated by neuronal calcium fluxes driven by synaptic mechanisms. Rhythm depends critically on [Formula: see text] in a subpopulation forming the rhythmogenic kernel. The model explains how the rhythm and amplitude of respiratory oscillations involve distinct biophysical mechanisms. eLife Sciences Publications, Ltd 2019-03-25 /pmc/articles/PMC6433470/ /pubmed/30907727 http://dx.doi.org/10.7554/eLife.41555 Text en © 2019, Phillips et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Phillips, Ryan S John, Tibin T Koizumi, Hidehiko Molkov, Yaroslav I Smith, Jeffrey C Biophysical mechanisms in the mammalian respiratory oscillator re-examined with a new data-driven computational model |
title | Biophysical mechanisms in the mammalian respiratory oscillator re-examined with a new data-driven computational model |
title_full | Biophysical mechanisms in the mammalian respiratory oscillator re-examined with a new data-driven computational model |
title_fullStr | Biophysical mechanisms in the mammalian respiratory oscillator re-examined with a new data-driven computational model |
title_full_unstemmed | Biophysical mechanisms in the mammalian respiratory oscillator re-examined with a new data-driven computational model |
title_short | Biophysical mechanisms in the mammalian respiratory oscillator re-examined with a new data-driven computational model |
title_sort | biophysical mechanisms in the mammalian respiratory oscillator re-examined with a new data-driven computational model |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6433470/ https://www.ncbi.nlm.nih.gov/pubmed/30907727 http://dx.doi.org/10.7554/eLife.41555 |
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