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...
Autores principales: | , , , , , , , |
---|---|
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 |