State transitions through inhibitory interneurons in a cortical network model.

Inhibitory interneurons shape the spiking characteristics and computational properties of cortical networks. Interneuron subtypes can precisely regulate cortical function but the roles of interneuron subtypes for promoting different regimes of cortical activity remains unclear. Therefore, we investi...

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Autores principales:	Alexander Bryson, Samuel F Berkovic, Steven Petrou, David B Grayden
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/b1c70c995cf946a084eb9e65c8d6ffe3
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spelling	oai:doaj.org-article:b1c70c995cf946a084eb9e65c8d6ffe32021-12-02T19:57:29ZState transitions through inhibitory interneurons in a cortical network model.1553-734X1553-735810.1371/journal.pcbi.1009521https://doaj.org/article/b1c70c995cf946a084eb9e65c8d6ffe32021-10-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009521https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Inhibitory interneurons shape the spiking characteristics and computational properties of cortical networks. Interneuron subtypes can precisely regulate cortical function but the roles of interneuron subtypes for promoting different regimes of cortical activity remains unclear. Therefore, we investigated the impact of fast spiking and non-fast spiking interneuron subtypes on cortical activity using a network model with connectivity and synaptic properties constrained by experimental data. We found that network properties were more sensitive to modulation of the fast spiking population, with reductions of fast spiking excitability generating strong spike correlations and network oscillations. Paradoxically, reduced fast spiking excitability produced a reduction of global excitation-inhibition balance and features of an inhibition stabilised network, in which firing rates were driven by the activity of excitatory neurons within the network. Further analysis revealed that the synaptic interactions and biophysical features associated with fast spiking interneurons, in particular their rapid intrinsic response properties and short synaptic latency, enabled this state transition by enhancing gain within the excitatory population. Therefore, fast spiking interneurons may be uniquely positioned to control the strength of recurrent excitatory connectivity and the transition to an inhibition stabilised regime. Overall, our results suggest that interneuron subtypes can exert selective control over excitatory gain allowing for differential modulation of global network state.Alexander BrysonSamuel F BerkovicSteven PetrouDavid B GraydenPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 10, p e1009521 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Alexander Bryson Samuel F Berkovic Steven Petrou David B Grayden State transitions through inhibitory interneurons in a cortical network model.
description	Inhibitory interneurons shape the spiking characteristics and computational properties of cortical networks. Interneuron subtypes can precisely regulate cortical function but the roles of interneuron subtypes for promoting different regimes of cortical activity remains unclear. Therefore, we investigated the impact of fast spiking and non-fast spiking interneuron subtypes on cortical activity using a network model with connectivity and synaptic properties constrained by experimental data. We found that network properties were more sensitive to modulation of the fast spiking population, with reductions of fast spiking excitability generating strong spike correlations and network oscillations. Paradoxically, reduced fast spiking excitability produced a reduction of global excitation-inhibition balance and features of an inhibition stabilised network, in which firing rates were driven by the activity of excitatory neurons within the network. Further analysis revealed that the synaptic interactions and biophysical features associated with fast spiking interneurons, in particular their rapid intrinsic response properties and short synaptic latency, enabled this state transition by enhancing gain within the excitatory population. Therefore, fast spiking interneurons may be uniquely positioned to control the strength of recurrent excitatory connectivity and the transition to an inhibition stabilised regime. Overall, our results suggest that interneuron subtypes can exert selective control over excitatory gain allowing for differential modulation of global network state.
format	article
author	Alexander Bryson Samuel F Berkovic Steven Petrou David B Grayden
author_facet	Alexander Bryson Samuel F Berkovic Steven Petrou David B Grayden
author_sort	Alexander Bryson
title	State transitions through inhibitory interneurons in a cortical network model.
title_short	State transitions through inhibitory interneurons in a cortical network model.
title_full	State transitions through inhibitory interneurons in a cortical network model.
title_fullStr	State transitions through inhibitory interneurons in a cortical network model.
title_full_unstemmed	State transitions through inhibitory interneurons in a cortical network model.
title_sort	state transitions through inhibitory interneurons in a cortical network model.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/b1c70c995cf946a084eb9e65c8d6ffe3
work_keys_str_mv	AT alexanderbryson statetransitionsthroughinhibitoryinterneuronsinacorticalnetworkmodel AT samuelfberkovic statetransitionsthroughinhibitoryinterneuronsinacorticalnetworkmodel AT stevenpetrou statetransitionsthroughinhibitoryinterneuronsinacorticalnetworkmodel AT davidbgrayden statetransitionsthroughinhibitoryinterneuronsinacorticalnetworkmodel
_version_	1718375859899858944

State transitions through inhibitory interneurons in a cortical network model.

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