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Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning

Spontaneous bursts in neuronal networks with propagation involving a large number of synchronously firing neurons are considered to be a crucial feature of these networks both in vivo and in vitro. Recently, learning has been shown to improve the association and synchronization of spontaneous events...

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Autores principales: Jia, Xiaoli, Shao, Wenwei, Hu, Nan, Shi, Jianxin, Fan, Xiu, Chen, Chong, Wang, Youwei, Chen, Liqun, Qiao, Huanhuan, Li, Xiaohong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433803/
https://www.ncbi.nlm.nih.gov/pubmed/36061604
http://dx.doi.org/10.3389/fnins.2022.854199
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author Jia, Xiaoli
Shao, Wenwei
Hu, Nan
Shi, Jianxin
Fan, Xiu
Chen, Chong
Wang, Youwei
Chen, Liqun
Qiao, Huanhuan
Li, Xiaohong
author_facet Jia, Xiaoli
Shao, Wenwei
Hu, Nan
Shi, Jianxin
Fan, Xiu
Chen, Chong
Wang, Youwei
Chen, Liqun
Qiao, Huanhuan
Li, Xiaohong
author_sort Jia, Xiaoli
collection PubMed
description Spontaneous bursts in neuronal networks with propagation involving a large number of synchronously firing neurons are considered to be a crucial feature of these networks both in vivo and in vitro. Recently, learning has been shown to improve the association and synchronization of spontaneous events in neuronal networks by promoting the firing of spontaneous bursts. However, little is known about the relationship between the learning phase and spontaneous bursts. By combining high-resolution measurement with a 4,096-channel complementary metal-oxide-semiconductor (CMOS) microelectrode array (MEA) and graph theory, we studied how the learning phase influenced the initiation of spontaneous bursts in cultured networks of rat cortical neurons in vitro. We found that a small number of selected populations carried most of the stimulus information and contributed to learning. Moreover, several new burst propagation patterns appeared in spontaneous firing after learning. Importantly, these “learning populations” had more hubs in the functional network that governed the initiation of spontaneous burst activity. These results suggest that changes in the functional structure of learning populations may be the key mechanism underlying increased bursts after learning. Our findings could increase understanding of the important role that synaptic plasticity plays in the regulation of spontaneous activity.
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spelling pubmed-94338032022-09-02 Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning Jia, Xiaoli Shao, Wenwei Hu, Nan Shi, Jianxin Fan, Xiu Chen, Chong Wang, Youwei Chen, Liqun Qiao, Huanhuan Li, Xiaohong Front Neurosci Neuroscience Spontaneous bursts in neuronal networks with propagation involving a large number of synchronously firing neurons are considered to be a crucial feature of these networks both in vivo and in vitro. Recently, learning has been shown to improve the association and synchronization of spontaneous events in neuronal networks by promoting the firing of spontaneous bursts. However, little is known about the relationship between the learning phase and spontaneous bursts. By combining high-resolution measurement with a 4,096-channel complementary metal-oxide-semiconductor (CMOS) microelectrode array (MEA) and graph theory, we studied how the learning phase influenced the initiation of spontaneous bursts in cultured networks of rat cortical neurons in vitro. We found that a small number of selected populations carried most of the stimulus information and contributed to learning. Moreover, several new burst propagation patterns appeared in spontaneous firing after learning. Importantly, these “learning populations” had more hubs in the functional network that governed the initiation of spontaneous burst activity. These results suggest that changes in the functional structure of learning populations may be the key mechanism underlying increased bursts after learning. Our findings could increase understanding of the important role that synaptic plasticity plays in the regulation of spontaneous activity. Frontiers Media S.A. 2022-08-18 /pmc/articles/PMC9433803/ /pubmed/36061604 http://dx.doi.org/10.3389/fnins.2022.854199 Text en Copyright © 2022 Jia, Shao, Hu, Shi, Fan, Chen, Wang, Chen, Qiao and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Jia, Xiaoli
Shao, Wenwei
Hu, Nan
Shi, Jianxin
Fan, Xiu
Chen, Chong
Wang, Youwei
Chen, Liqun
Qiao, Huanhuan
Li, Xiaohong
Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning
title Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning
title_full Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning
title_fullStr Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning
title_full_unstemmed Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning
title_short Learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning
title_sort learning populations with hubs govern the initiation and propagation of spontaneous bursts in neuronal networks after learning
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433803/
https://www.ncbi.nlm.nih.gov/pubmed/36061604
http://dx.doi.org/10.3389/fnins.2022.854199
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