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Autaptic Connections Shift Network Excitability and Bursting

We examine the role of structural autapses, when a neuron synapses onto itself, in driving network-wide bursting behavior. Using a simple spiking model of neuronal activity, we study how autaptic connections affect activity patterns, and evaluate if controllability significantly affects changes in b...

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Autores principales: Wiles, Laura, Gu, Shi, Pasqualetti, Fabio, Parvesse, Brandon, Gabrieli, David, Bassett, Danielle S., Meaney, David F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5339801/
https://www.ncbi.nlm.nih.gov/pubmed/28266594
http://dx.doi.org/10.1038/srep44006
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author Wiles, Laura
Gu, Shi
Pasqualetti, Fabio
Parvesse, Brandon
Gabrieli, David
Bassett, Danielle S.
Meaney, David F.
author_facet Wiles, Laura
Gu, Shi
Pasqualetti, Fabio
Parvesse, Brandon
Gabrieli, David
Bassett, Danielle S.
Meaney, David F.
author_sort Wiles, Laura
collection PubMed
description We examine the role of structural autapses, when a neuron synapses onto itself, in driving network-wide bursting behavior. Using a simple spiking model of neuronal activity, we study how autaptic connections affect activity patterns, and evaluate if controllability significantly affects changes in bursting from autaptic connections. Adding more autaptic connections to excitatory neurons increased the number of spiking events and the number of network-wide bursts. We observed excitatory synapses contributed more to bursting behavior than inhibitory synapses. We evaluated if neurons with high average controllability, predicted to push the network into easily achievable states, affected bursting behavior differently than neurons with high modal controllability, thought to influence the network into difficult to reach states. Results show autaptic connections to excitatory neurons with high average controllability led to higher burst frequencies than adding the same number of self-looping connections to neurons with high modal controllability. The number of autapses required to induce bursting was lowered by adding autapses to high degree excitatory neurons. These results suggest a role of autaptic connections in controlling network-wide bursts in diverse cortical and subcortical regions of mammalian brain. Moreover, they open up new avenues for the study of dynamic neurophysiological correlates of structural controllability.
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spelling pubmed-53398012017-03-10 Autaptic Connections Shift Network Excitability and Bursting Wiles, Laura Gu, Shi Pasqualetti, Fabio Parvesse, Brandon Gabrieli, David Bassett, Danielle S. Meaney, David F. Sci Rep Article We examine the role of structural autapses, when a neuron synapses onto itself, in driving network-wide bursting behavior. Using a simple spiking model of neuronal activity, we study how autaptic connections affect activity patterns, and evaluate if controllability significantly affects changes in bursting from autaptic connections. Adding more autaptic connections to excitatory neurons increased the number of spiking events and the number of network-wide bursts. We observed excitatory synapses contributed more to bursting behavior than inhibitory synapses. We evaluated if neurons with high average controllability, predicted to push the network into easily achievable states, affected bursting behavior differently than neurons with high modal controllability, thought to influence the network into difficult to reach states. Results show autaptic connections to excitatory neurons with high average controllability led to higher burst frequencies than adding the same number of self-looping connections to neurons with high modal controllability. The number of autapses required to induce bursting was lowered by adding autapses to high degree excitatory neurons. These results suggest a role of autaptic connections in controlling network-wide bursts in diverse cortical and subcortical regions of mammalian brain. Moreover, they open up new avenues for the study of dynamic neurophysiological correlates of structural controllability. Nature Publishing Group 2017-03-07 /pmc/articles/PMC5339801/ /pubmed/28266594 http://dx.doi.org/10.1038/srep44006 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Wiles, Laura
Gu, Shi
Pasqualetti, Fabio
Parvesse, Brandon
Gabrieli, David
Bassett, Danielle S.
Meaney, David F.
Autaptic Connections Shift Network Excitability and Bursting
title Autaptic Connections Shift Network Excitability and Bursting
title_full Autaptic Connections Shift Network Excitability and Bursting
title_fullStr Autaptic Connections Shift Network Excitability and Bursting
title_full_unstemmed Autaptic Connections Shift Network Excitability and Bursting
title_short Autaptic Connections Shift Network Excitability and Bursting
title_sort autaptic connections shift network excitability and bursting
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5339801/
https://www.ncbi.nlm.nih.gov/pubmed/28266594
http://dx.doi.org/10.1038/srep44006
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