Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/28385
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBryson, Alexander-
dc.contributor.authorBerkovic, Samuel F-
dc.contributor.authorPetrou, Steven-
dc.contributor.authorGrayden, David B-
dc.date2021-10-
dc.date.accessioned2021-12-20T04:28:54Z-
dc.date.available2021-12-20T04:28:54Z-
dc.date.issued2021-10-15-
dc.identifier.citationPLoS Computational Biology 2021; 17(10): e1009521en
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/28385-
dc.description.abstractInhibitory 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.en
dc.language.isoeng
dc.titleState transitions through inhibitory interneurons in a cortical network model.en
dc.typeJournal Articleen
dc.identifier.journaltitlePLoS Computational Biologyen
dc.identifier.affiliationThe Florey Institute of Neuroscience and Mental Healthen
dc.identifier.affiliationEpilepsy Research Centreen
dc.identifier.affiliationNeurologyen
dc.identifier.affiliationDepartment of Biomedical Engineering, University of Melbourne, Melbourne, Australiaen
dc.identifier.pubmedurihttps://pubmed.ncbi.nlm.nih.gov/34653178/en
dc.identifier.doi10.1371/journal.pcbi.1009521en
dc.type.contentTexten
dc.identifier.orcid0000-0002-0033-8197en
dc.identifier.orcid0000-0003-4580-841Xen
dc.identifier.orcid0000-0002-4960-6375en
dc.identifier.orcid0000-0002-5497-7234en
dc.identifier.pubmedid34653178
local.name.researcherBerkovic, Samuel F
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.languageiso639-1en-
item.openairetypeJournal Article-
crisitem.author.deptNeurology-
crisitem.author.deptEpilepsy Research Centre-
crisitem.author.deptNeurology-
Appears in Collections:Journal articles
Show simple item record

Page view(s)

26
checked on Mar 28, 2024

Google ScholarTM

Check


Items in AHRO are protected by copyright, with all rights reserved, unless otherwise indicated.