Journal article
Complex bursting dynamics in an embryonic respiratory neuron model
Chaos (Woodbury, N.Y.), Vol.30(4), pp.043127-043127
04/2020
DOI: 10.1063/1.5138993
PMID: 32357647
Abstract
Pre-Bötzinger complex (pre-BötC) network activity within the mammalian brainstem controls the inspiratory phase of the respiratory rhythm. While bursting in pre-BötC neurons during the postnatal period has been extensively studied, less is known regarding inspiratory pacemaker neuron behavior at embryonic stages. Recent data in mouse embryo brainstem slices have revealed the existence of a variety of bursting activity patterns depending on distinct combinations of burst-generating I
and I
conductances. In this work, we consider a model of an isolated embryonic pre-BötC neuron featuring two distinct bursting mechanisms. We use methods of dynamical systems theory, such as phase plane analysis, fast-slow decomposition, and bifurcation analysis, to uncover mechanisms underlying several different types of intrinsic bursting dynamics observed experimentally including several forms of plateau bursts, bursts involving depolarization block, and various combinations of these patterns. Our analysis also yields predictions about how changes in the balance of the two bursting mechanisms contribute to alterations in an inspiratory pacemaker neuron activity during prenatal development.
Details
- Title: Subtitle
- Complex bursting dynamics in an embryonic respiratory neuron model
- Creators
- Yangyang Wang - Department of Mathematics, The University of Iowa, Iowa City, Iowa 52242, USAJonathan E Rubin - Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
- Resource Type
- Journal article
- Publication Details
- Chaos (Woodbury, N.Y.), Vol.30(4), pp.043127-043127
- DOI
- 10.1063/1.5138993
- PMID
- 32357647
- NLM abbreviation
- Chaos
- ISSN
- 1054-1500
- eISSN
- 1089-7682
- Publisher
- United States
- Grant note
- DOI: 10.13039/100000086, name: Directorate for Mathematical and Physical Sciences, award: 1612913; DOI: 10.13039/100000086, name: Directorate for Mathematical and Physical Sciences, award: 1440386
- Language
- English
- Date published
- 04/2020
- Academic Unit
- Iowa Neuroscience Institute; Mathematics
- Record Identifier
- 9984065467902771
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