Growth dynamics explain the development of spatiotemporal burst activity of young cultured neuronal networks in detail.

A typical property of isolated cultured neuronal networks of dissociated rat cortical cells is synchronized spiking, called bursting, starting about one week after plating, when the dissociated cells have sufficiently sent out their neurites and formed enough synaptic connections. This paper is the...

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Autores principales:	Taras A Gritsun, Joost le Feber, Wim L C Rutten
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/47d7db6f987145efa88513903a8c7967
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spelling	oai:doaj.org-article:47d7db6f987145efa88513903a8c79672021-11-18T07:05:02ZGrowth dynamics explain the development of spatiotemporal burst activity of young cultured neuronal networks in detail.1932-620310.1371/journal.pone.0043352https://doaj.org/article/47d7db6f987145efa88513903a8c79672012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23028450/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203A typical property of isolated cultured neuronal networks of dissociated rat cortical cells is synchronized spiking, called bursting, starting about one week after plating, when the dissociated cells have sufficiently sent out their neurites and formed enough synaptic connections. This paper is the third in a series of three on simulation models of cultured networks. Our two previous studies [26], [27] have shown that random recurrent network activity models generate intra- and inter-bursting patterns similar to experimental data. The networks were noise or pacemaker-driven and had Izhikevich-neuronal elements with only short-term plastic (STP) synapses (so, no long-term potentiation, LTP, or depression, LTD, was included). However, elevated pre-phases (burst leaders) and after-phases of burst main shapes, that usually arise during the development of the network, were not yet simulated in sufficient detail. This lack of detail may be due to the fact that the random models completely missed network topology .and a growth model. Therefore, the present paper adds, for the first time, a growth model to the activity model, to give the network a time dependent topology and to explain burst shapes in more detail. Again, without LTP or LTD mechanisms. The integrated growth-activity model yielded realistic bursting patterns. The automatic adjustment of various mutually interdependent network parameters is one of the major advantages of our current approach. Spatio-temporal bursting activity was validated against experiment. Depending on network size, wave reverberation mechanisms were seen along the network boundaries, which may explain the generation of phases of elevated firing before and after the main phase of the burst shape.In summary, the results show that adding topology and growth explain burst shapes in great detail and suggest that young networks still lack/do not need LTP or LTD mechanisms.Taras A GritsunJoost le FeberWim L C RuttenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 9, p e43352 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Taras A Gritsun Joost le Feber Wim L C Rutten Growth dynamics explain the development of spatiotemporal burst activity of young cultured neuronal networks in detail.
description	A typical property of isolated cultured neuronal networks of dissociated rat cortical cells is synchronized spiking, called bursting, starting about one week after plating, when the dissociated cells have sufficiently sent out their neurites and formed enough synaptic connections. This paper is the third in a series of three on simulation models of cultured networks. Our two previous studies [26], [27] have shown that random recurrent network activity models generate intra- and inter-bursting patterns similar to experimental data. The networks were noise or pacemaker-driven and had Izhikevich-neuronal elements with only short-term plastic (STP) synapses (so, no long-term potentiation, LTP, or depression, LTD, was included). However, elevated pre-phases (burst leaders) and after-phases of burst main shapes, that usually arise during the development of the network, were not yet simulated in sufficient detail. This lack of detail may be due to the fact that the random models completely missed network topology .and a growth model. Therefore, the present paper adds, for the first time, a growth model to the activity model, to give the network a time dependent topology and to explain burst shapes in more detail. Again, without LTP or LTD mechanisms. The integrated growth-activity model yielded realistic bursting patterns. The automatic adjustment of various mutually interdependent network parameters is one of the major advantages of our current approach. Spatio-temporal bursting activity was validated against experiment. Depending on network size, wave reverberation mechanisms were seen along the network boundaries, which may explain the generation of phases of elevated firing before and after the main phase of the burst shape.In summary, the results show that adding topology and growth explain burst shapes in great detail and suggest that young networks still lack/do not need LTP or LTD mechanisms.
format	article
author	Taras A Gritsun Joost le Feber Wim L C Rutten
author_facet	Taras A Gritsun Joost le Feber Wim L C Rutten
author_sort	Taras A Gritsun
title	Growth dynamics explain the development of spatiotemporal burst activity of young cultured neuronal networks in detail.
title_short	Growth dynamics explain the development of spatiotemporal burst activity of young cultured neuronal networks in detail.
title_full	Growth dynamics explain the development of spatiotemporal burst activity of young cultured neuronal networks in detail.
title_fullStr	Growth dynamics explain the development of spatiotemporal burst activity of young cultured neuronal networks in detail.
title_full_unstemmed	Growth dynamics explain the development of spatiotemporal burst activity of young cultured neuronal networks in detail.
title_sort	growth dynamics explain the development of spatiotemporal burst activity of young cultured neuronal networks in detail.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/47d7db6f987145efa88513903a8c7967
work_keys_str_mv	AT tarasagritsun growthdynamicsexplainthedevelopmentofspatiotemporalburstactivityofyoungculturedneuronalnetworksindetail AT joostlefeber growthdynamicsexplainthedevelopmentofspatiotemporalburstactivityofyoungculturedneuronalnetworksindetail AT wimlcrutten growthdynamicsexplainthedevelopmentofspatiotemporalburstactivityofyoungculturedneuronalnetworksindetail
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Growth dynamics explain the development of spatiotemporal burst activity of young cultured neuronal networks in detail.

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