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The Interaction of Intrinsic Dynamics and Network Topology in Determining Network Burst Synchrony
The pre-Bötzinger complex (pre-BötC), within the mammalian respiratory brainstem, represents an ideal system for investigating the synchronization properties of complex neuronal circuits via the interaction of cell-type heterogeneity and network connectivity. In isolation, individual respiratory neu...
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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3044261/ https://www.ncbi.nlm.nih.gov/pubmed/21373358 http://dx.doi.org/10.3389/fncom.2011.00010 |
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author | Gaiteri, Chris Rubin, Jonathan E. |
author_facet | Gaiteri, Chris Rubin, Jonathan E. |
author_sort | Gaiteri, Chris |
collection | PubMed |
description | The pre-Bötzinger complex (pre-BötC), within the mammalian respiratory brainstem, represents an ideal system for investigating the synchronization properties of complex neuronal circuits via the interaction of cell-type heterogeneity and network connectivity. In isolation, individual respiratory neurons from the pre-BötC may be tonically active, rhythmically bursting, or quiescent. Despite this intrinsic heterogeneity, coupled networks of pre-BötC neurons en bloc engage in synchronized bursting that can drive inspiratory motor neuron activation. The region's connection topology has been recently characterized and features dense clusters of cells with occasional connections between clusters. We investigate how the dynamics of individual neurons (quiescent/bursting/tonic) and the betweenness centrality of neurons’ positions within the network connectivity graph interact to govern network burst synchrony, by simulating heterogeneous networks of computational model pre-BötC neurons. Furthermore, we compare the prevalence and synchrony of bursting across networks constructed with a variety of connection topologies, analyzing the same collection of heterogeneous neurons in small-world, scale-free, random, and regularly structured networks. We find that several measures of network burst synchronization are determined by interactions of network topology with the intrinsic dynamics of neurons at central network positions and by the strengths of synaptic connections between neurons. Surprisingly, despite the functional role of synchronized bursting within the pre-BötC, we find that synchronized network bursting is generally weakest when we use its specific connection topology, which leads to synchrony within clusters but poor coordination across clusters. Overall, our results highlight the relevance of interactions between topology and intrinsic dynamics in shaping the activity of networks and the concerted effects of connectivity patterns and dynamic heterogeneities. |
format | Text |
id | pubmed-3044261 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-30442612011-03-03 The Interaction of Intrinsic Dynamics and Network Topology in Determining Network Burst Synchrony Gaiteri, Chris Rubin, Jonathan E. Front Comput Neurosci Neuroscience The pre-Bötzinger complex (pre-BötC), within the mammalian respiratory brainstem, represents an ideal system for investigating the synchronization properties of complex neuronal circuits via the interaction of cell-type heterogeneity and network connectivity. In isolation, individual respiratory neurons from the pre-BötC may be tonically active, rhythmically bursting, or quiescent. Despite this intrinsic heterogeneity, coupled networks of pre-BötC neurons en bloc engage in synchronized bursting that can drive inspiratory motor neuron activation. The region's connection topology has been recently characterized and features dense clusters of cells with occasional connections between clusters. We investigate how the dynamics of individual neurons (quiescent/bursting/tonic) and the betweenness centrality of neurons’ positions within the network connectivity graph interact to govern network burst synchrony, by simulating heterogeneous networks of computational model pre-BötC neurons. Furthermore, we compare the prevalence and synchrony of bursting across networks constructed with a variety of connection topologies, analyzing the same collection of heterogeneous neurons in small-world, scale-free, random, and regularly structured networks. We find that several measures of network burst synchronization are determined by interactions of network topology with the intrinsic dynamics of neurons at central network positions and by the strengths of synaptic connections between neurons. Surprisingly, despite the functional role of synchronized bursting within the pre-BötC, we find that synchronized network bursting is generally weakest when we use its specific connection topology, which leads to synchrony within clusters but poor coordination across clusters. Overall, our results highlight the relevance of interactions between topology and intrinsic dynamics in shaping the activity of networks and the concerted effects of connectivity patterns and dynamic heterogeneities. Frontiers Research Foundation 2011-02-18 /pmc/articles/PMC3044261/ /pubmed/21373358 http://dx.doi.org/10.3389/fncom.2011.00010 Text en Copyright © 2011 Gaiteri and Rubin. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and Frontiers Media SA, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited. |
spellingShingle | Neuroscience Gaiteri, Chris Rubin, Jonathan E. The Interaction of Intrinsic Dynamics and Network Topology in Determining Network Burst Synchrony |
title | The Interaction of Intrinsic Dynamics and Network Topology in Determining Network Burst Synchrony |
title_full | The Interaction of Intrinsic Dynamics and Network Topology in Determining Network Burst Synchrony |
title_fullStr | The Interaction of Intrinsic Dynamics and Network Topology in Determining Network Burst Synchrony |
title_full_unstemmed | The Interaction of Intrinsic Dynamics and Network Topology in Determining Network Burst Synchrony |
title_short | The Interaction of Intrinsic Dynamics and Network Topology in Determining Network Burst Synchrony |
title_sort | interaction of intrinsic dynamics and network topology in determining network burst synchrony |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3044261/ https://www.ncbi.nlm.nih.gov/pubmed/21373358 http://dx.doi.org/10.3389/fncom.2011.00010 |
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