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The role of dimensionality in neuronal network dynamics
Recent results from network theory show that complexity affects several dynamical properties of networks that favor synchronization. Here we show that synchronization in 2D and 3D neuronal networks is significantly different. Using dissociated hippocampal neurons we compared properties of cultures g...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4939604/ https://www.ncbi.nlm.nih.gov/pubmed/27404281 http://dx.doi.org/10.1038/srep29640 |
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author | Ulloa Severino, Francesco Paolo Ban, Jelena Song, Qin Tang, Mingliang Bianconi, Ginestra Cheng, Guosheng Torre, Vincent |
author_facet | Ulloa Severino, Francesco Paolo Ban, Jelena Song, Qin Tang, Mingliang Bianconi, Ginestra Cheng, Guosheng Torre, Vincent |
author_sort | Ulloa Severino, Francesco Paolo |
collection | PubMed |
description | Recent results from network theory show that complexity affects several dynamical properties of networks that favor synchronization. Here we show that synchronization in 2D and 3D neuronal networks is significantly different. Using dissociated hippocampal neurons we compared properties of cultures grown on a flat 2D substrates with those formed on 3D graphene foam scaffolds. Both 2D and 3D cultures had comparable glia to neuron ratio and the percentage of GABAergic inhibitory neurons. 3D cultures because of their dimension have many connections among distant neurons leading to small-world networks and their characteristic dynamics. After one week, calcium imaging revealed moderately synchronous activity in 2D networks, but the degree of synchrony of 3D networks was higher and had two regimes: a highly synchronized (HS) and a moderately synchronized (MS) regime. The HS regime was never observed in 2D networks. During the MS regime, neuronal assemblies in synchrony changed with time as observed in mammalian brains. After two weeks, the degree of synchrony in 3D networks decreased, as observed in vivo. These results show that dimensionality determines properties of neuronal networks and that several features of brain dynamics are a consequence of its 3D topology. |
format | Online Article Text |
id | pubmed-4939604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49396042016-07-14 The role of dimensionality in neuronal network dynamics Ulloa Severino, Francesco Paolo Ban, Jelena Song, Qin Tang, Mingliang Bianconi, Ginestra Cheng, Guosheng Torre, Vincent Sci Rep Article Recent results from network theory show that complexity affects several dynamical properties of networks that favor synchronization. Here we show that synchronization in 2D and 3D neuronal networks is significantly different. Using dissociated hippocampal neurons we compared properties of cultures grown on a flat 2D substrates with those formed on 3D graphene foam scaffolds. Both 2D and 3D cultures had comparable glia to neuron ratio and the percentage of GABAergic inhibitory neurons. 3D cultures because of their dimension have many connections among distant neurons leading to small-world networks and their characteristic dynamics. After one week, calcium imaging revealed moderately synchronous activity in 2D networks, but the degree of synchrony of 3D networks was higher and had two regimes: a highly synchronized (HS) and a moderately synchronized (MS) regime. The HS regime was never observed in 2D networks. During the MS regime, neuronal assemblies in synchrony changed with time as observed in mammalian brains. After two weeks, the degree of synchrony in 3D networks decreased, as observed in vivo. These results show that dimensionality determines properties of neuronal networks and that several features of brain dynamics are a consequence of its 3D topology. Nature Publishing Group 2016-07-11 /pmc/articles/PMC4939604/ /pubmed/27404281 http://dx.doi.org/10.1038/srep29640 Text en Copyright © 2016, Macmillan Publishers Limited 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 Ulloa Severino, Francesco Paolo Ban, Jelena Song, Qin Tang, Mingliang Bianconi, Ginestra Cheng, Guosheng Torre, Vincent The role of dimensionality in neuronal network dynamics |
title | The role of dimensionality in neuronal network dynamics |
title_full | The role of dimensionality in neuronal network dynamics |
title_fullStr | The role of dimensionality in neuronal network dynamics |
title_full_unstemmed | The role of dimensionality in neuronal network dynamics |
title_short | The role of dimensionality in neuronal network dynamics |
title_sort | role of dimensionality in neuronal network dynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4939604/ https://www.ncbi.nlm.nih.gov/pubmed/27404281 http://dx.doi.org/10.1038/srep29640 |
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