Cargando…

Modeling driver cells in developing neuronal networks

Spontaneous emergence of synchronized population activity is a characteristic feature of developing brain circuits. Recent experiments in the developing neo-cortex showed the existence of driver cells able to impact the synchronization dynamics when single-handedly stimulated. We have developed a sp...

Descripción completa

Detalles Bibliográficos
Autores principales: Luccioli, Stefano, Angulo-Garcia, David, Cossart, Rosa, Malvache, Arnaud, Módol, Laura, Sousa, Vitor Hugo, Bonifazi, Paolo, Torcini, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235603/
https://www.ncbi.nlm.nih.gov/pubmed/30388120
http://dx.doi.org/10.1371/journal.pcbi.1006551
_version_ 1783370896096886784
author Luccioli, Stefano
Angulo-Garcia, David
Cossart, Rosa
Malvache, Arnaud
Módol, Laura
Sousa, Vitor Hugo
Bonifazi, Paolo
Torcini, Alessandro
author_facet Luccioli, Stefano
Angulo-Garcia, David
Cossart, Rosa
Malvache, Arnaud
Módol, Laura
Sousa, Vitor Hugo
Bonifazi, Paolo
Torcini, Alessandro
author_sort Luccioli, Stefano
collection PubMed
description Spontaneous emergence of synchronized population activity is a characteristic feature of developing brain circuits. Recent experiments in the developing neo-cortex showed the existence of driver cells able to impact the synchronization dynamics when single-handedly stimulated. We have developed a spiking network model capable to reproduce the experimental results, thus identifying two classes of driver cells: functional hubs and low functionally connected (LC) neurons. The functional hubs arranged in a clique orchestrated the synchronization build-up, while the LC drivers were lately or not at all recruited in the synchronization process. Notwithstanding, they were able to alter the network state when stimulated by modifying the temporal activation of the functional clique or even its composition. LC drivers can lead either to higher population synchrony or even to the arrest of population dynamics, upon stimulation. Noticeably, some LC driver can display both effects depending on the received stimulus. We show that in the model the presence of inhibitory neurons together with the assumption that younger cells are more excitable and less connected is crucial for the emergence of LC drivers. These results provide a further understanding of the structural-functional mechanisms underlying synchronized firings in developing circuits possibly related to the coordinated activity of cell assemblies in the adult brain.
format Online
Article
Text
id pubmed-6235603
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-62356032018-12-06 Modeling driver cells in developing neuronal networks Luccioli, Stefano Angulo-Garcia, David Cossart, Rosa Malvache, Arnaud Módol, Laura Sousa, Vitor Hugo Bonifazi, Paolo Torcini, Alessandro PLoS Comput Biol Research Article Spontaneous emergence of synchronized population activity is a characteristic feature of developing brain circuits. Recent experiments in the developing neo-cortex showed the existence of driver cells able to impact the synchronization dynamics when single-handedly stimulated. We have developed a spiking network model capable to reproduce the experimental results, thus identifying two classes of driver cells: functional hubs and low functionally connected (LC) neurons. The functional hubs arranged in a clique orchestrated the synchronization build-up, while the LC drivers were lately or not at all recruited in the synchronization process. Notwithstanding, they were able to alter the network state when stimulated by modifying the temporal activation of the functional clique or even its composition. LC drivers can lead either to higher population synchrony or even to the arrest of population dynamics, upon stimulation. Noticeably, some LC driver can display both effects depending on the received stimulus. We show that in the model the presence of inhibitory neurons together with the assumption that younger cells are more excitable and less connected is crucial for the emergence of LC drivers. These results provide a further understanding of the structural-functional mechanisms underlying synchronized firings in developing circuits possibly related to the coordinated activity of cell assemblies in the adult brain. Public Library of Science 2018-11-02 /pmc/articles/PMC6235603/ /pubmed/30388120 http://dx.doi.org/10.1371/journal.pcbi.1006551 Text en © 2018 Luccioli et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Luccioli, Stefano
Angulo-Garcia, David
Cossart, Rosa
Malvache, Arnaud
Módol, Laura
Sousa, Vitor Hugo
Bonifazi, Paolo
Torcini, Alessandro
Modeling driver cells in developing neuronal networks
title Modeling driver cells in developing neuronal networks
title_full Modeling driver cells in developing neuronal networks
title_fullStr Modeling driver cells in developing neuronal networks
title_full_unstemmed Modeling driver cells in developing neuronal networks
title_short Modeling driver cells in developing neuronal networks
title_sort modeling driver cells in developing neuronal networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6235603/
https://www.ncbi.nlm.nih.gov/pubmed/30388120
http://dx.doi.org/10.1371/journal.pcbi.1006551
work_keys_str_mv AT lucciolistefano modelingdrivercellsindevelopingneuronalnetworks
AT angulogarciadavid modelingdrivercellsindevelopingneuronalnetworks
AT cossartrosa modelingdrivercellsindevelopingneuronalnetworks
AT malvachearnaud modelingdrivercellsindevelopingneuronalnetworks
AT modollaura modelingdrivercellsindevelopingneuronalnetworks
AT sousavitorhugo modelingdrivercellsindevelopingneuronalnetworks
AT bonifazipaolo modelingdrivercellsindevelopingneuronalnetworks
AT torcinialessandro modelingdrivercellsindevelopingneuronalnetworks