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Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions

Several homeostatic mechanisms enable the brain to maintain desired levels of neuronal activity. One of these, homeostatic structural plasticity, has been reported to restore activity in networks disrupted by peripheral lesions by altering their neuronal connectivity. While multiple lesion experimen...

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Autores principales: Sinha, Ankur, Metzner, Christoph, Davey, Neil, Adams, Roderick, Schmuker, Michael, Steuber, Volker
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195387/
https://www.ncbi.nlm.nih.gov/pubmed/34061830
http://dx.doi.org/10.1371/journal.pcbi.1008996
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author Sinha, Ankur
Metzner, Christoph
Davey, Neil
Adams, Roderick
Schmuker, Michael
Steuber, Volker
author_facet Sinha, Ankur
Metzner, Christoph
Davey, Neil
Adams, Roderick
Schmuker, Michael
Steuber, Volker
author_sort Sinha, Ankur
collection PubMed
description Several homeostatic mechanisms enable the brain to maintain desired levels of neuronal activity. One of these, homeostatic structural plasticity, has been reported to restore activity in networks disrupted by peripheral lesions by altering their neuronal connectivity. While multiple lesion experiments have studied the changes in neurite morphology that underlie modifications of synapses in these networks, the underlying mechanisms that drive these changes are yet to be explained. Evidence suggests that neuronal activity modulates neurite morphology and may stimulate neurites to selective sprout or retract to restore network activity levels. We developed a new spiking network model of peripheral lesioning and accurately reproduced the characteristics of network repair after deafferentation that are reported in experiments to study the activity dependent growth regimes of neurites. To ensure that our simulations closely resemble the behaviour of networks in the brain, we model deafferentation in a biologically realistic balanced network model that exhibits low frequency Asynchronous Irregular (AI) activity as observed in cerebral cortex. Our simulation results indicate that the re-establishment of activity in neurons both within and outside the deprived region, the Lesion Projection Zone (LPZ), requires opposite activity dependent growth rules for excitatory and inhibitory post-synaptic elements. Analysis of these growth regimes indicates that they also contribute to the maintenance of activity levels in individual neurons. Furthermore, in our model, the directional formation of synapses that is observed in experiments requires that pre-synaptic excitatory and inhibitory elements also follow opposite growth rules. Lastly, we observe that our proposed structural plasticity growth rules and the inhibitory synaptic plasticity mechanism that also balances our AI network both contribute to the restoration of the network to pre-deafferentation stable activity levels.
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spelling pubmed-81953872021-06-21 Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions Sinha, Ankur Metzner, Christoph Davey, Neil Adams, Roderick Schmuker, Michael Steuber, Volker PLoS Comput Biol Research Article Several homeostatic mechanisms enable the brain to maintain desired levels of neuronal activity. One of these, homeostatic structural plasticity, has been reported to restore activity in networks disrupted by peripheral lesions by altering their neuronal connectivity. While multiple lesion experiments have studied the changes in neurite morphology that underlie modifications of synapses in these networks, the underlying mechanisms that drive these changes are yet to be explained. Evidence suggests that neuronal activity modulates neurite morphology and may stimulate neurites to selective sprout or retract to restore network activity levels. We developed a new spiking network model of peripheral lesioning and accurately reproduced the characteristics of network repair after deafferentation that are reported in experiments to study the activity dependent growth regimes of neurites. To ensure that our simulations closely resemble the behaviour of networks in the brain, we model deafferentation in a biologically realistic balanced network model that exhibits low frequency Asynchronous Irregular (AI) activity as observed in cerebral cortex. Our simulation results indicate that the re-establishment of activity in neurons both within and outside the deprived region, the Lesion Projection Zone (LPZ), requires opposite activity dependent growth rules for excitatory and inhibitory post-synaptic elements. Analysis of these growth regimes indicates that they also contribute to the maintenance of activity levels in individual neurons. Furthermore, in our model, the directional formation of synapses that is observed in experiments requires that pre-synaptic excitatory and inhibitory elements also follow opposite growth rules. Lastly, we observe that our proposed structural plasticity growth rules and the inhibitory synaptic plasticity mechanism that also balances our AI network both contribute to the restoration of the network to pre-deafferentation stable activity levels. Public Library of Science 2021-06-01 /pmc/articles/PMC8195387/ /pubmed/34061830 http://dx.doi.org/10.1371/journal.pcbi.1008996 Text en © 2021 Sinha et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sinha, Ankur
Metzner, Christoph
Davey, Neil
Adams, Roderick
Schmuker, Michael
Steuber, Volker
Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions
title Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions
title_full Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions
title_fullStr Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions
title_full_unstemmed Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions
title_short Growth rules for the repair of Asynchronous Irregular neuronal networks after peripheral lesions
title_sort growth rules for the repair of asynchronous irregular neuronal networks after peripheral lesions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195387/
https://www.ncbi.nlm.nih.gov/pubmed/34061830
http://dx.doi.org/10.1371/journal.pcbi.1008996
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