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Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex

Local field potential (LFP) recordings reflect the dynamics of the current source density (CSD) in brain tissue. The synaptic, cellular, and circuit contributions to current sinks and sources are ill-understood. We investigated these in mouse primary visual cortex using public Neuropixels recordings...

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Autores principales: Rimehaug, Atle E, Stasik, Alexander J, Hagen, Espen, Billeh, Yazan N, Siegle, Josh H, Dai, Kael, Olsen, Shawn R, Koch, Christof, Einevoll, Gaute T, Arkhipov, Anton
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393295/
https://www.ncbi.nlm.nih.gov/pubmed/37486105
http://dx.doi.org/10.7554/eLife.87169
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author Rimehaug, Atle E
Stasik, Alexander J
Hagen, Espen
Billeh, Yazan N
Siegle, Josh H
Dai, Kael
Olsen, Shawn R
Koch, Christof
Einevoll, Gaute T
Arkhipov, Anton
author_facet Rimehaug, Atle E
Stasik, Alexander J
Hagen, Espen
Billeh, Yazan N
Siegle, Josh H
Dai, Kael
Olsen, Shawn R
Koch, Christof
Einevoll, Gaute T
Arkhipov, Anton
author_sort Rimehaug, Atle E
collection PubMed
description Local field potential (LFP) recordings reflect the dynamics of the current source density (CSD) in brain tissue. The synaptic, cellular, and circuit contributions to current sinks and sources are ill-understood. We investigated these in mouse primary visual cortex using public Neuropixels recordings and a detailed circuit model based on simulating the Hodgkin–Huxley dynamics of >50,000 neurons belonging to 17 cell types. The model simultaneously captured spiking and CSD responses and demonstrated a two-way dissociation: firing rates are altered with minor effects on the CSD pattern by adjusting synaptic weights, and CSD is altered with minor effects on firing rates by adjusting synaptic placement on the dendrites. We describe how thalamocortical inputs and recurrent connections sculpt specific sinks and sources early in the visual response, whereas cortical feedback crucially alters them in later stages. These results establish quantitative links between macroscopic brain measurements (LFP/CSD) and microscopic biophysics-based understanding of neuron dynamics and show that CSD analysis provides powerful constraints for modeling beyond those from considering spikes.
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spelling pubmed-103932952023-08-02 Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex Rimehaug, Atle E Stasik, Alexander J Hagen, Espen Billeh, Yazan N Siegle, Josh H Dai, Kael Olsen, Shawn R Koch, Christof Einevoll, Gaute T Arkhipov, Anton eLife Computational and Systems Biology Local field potential (LFP) recordings reflect the dynamics of the current source density (CSD) in brain tissue. The synaptic, cellular, and circuit contributions to current sinks and sources are ill-understood. We investigated these in mouse primary visual cortex using public Neuropixels recordings and a detailed circuit model based on simulating the Hodgkin–Huxley dynamics of >50,000 neurons belonging to 17 cell types. The model simultaneously captured spiking and CSD responses and demonstrated a two-way dissociation: firing rates are altered with minor effects on the CSD pattern by adjusting synaptic weights, and CSD is altered with minor effects on firing rates by adjusting synaptic placement on the dendrites. We describe how thalamocortical inputs and recurrent connections sculpt specific sinks and sources early in the visual response, whereas cortical feedback crucially alters them in later stages. These results establish quantitative links between macroscopic brain measurements (LFP/CSD) and microscopic biophysics-based understanding of neuron dynamics and show that CSD analysis provides powerful constraints for modeling beyond those from considering spikes. eLife Sciences Publications, Ltd 2023-07-24 /pmc/articles/PMC10393295/ /pubmed/37486105 http://dx.doi.org/10.7554/eLife.87169 Text en © 2023, Rimehaug et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Rimehaug, Atle E
Stasik, Alexander J
Hagen, Espen
Billeh, Yazan N
Siegle, Josh H
Dai, Kael
Olsen, Shawn R
Koch, Christof
Einevoll, Gaute T
Arkhipov, Anton
Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex
title Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex
title_full Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex
title_fullStr Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex
title_full_unstemmed Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex
title_short Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex
title_sort uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393295/
https://www.ncbi.nlm.nih.gov/pubmed/37486105
http://dx.doi.org/10.7554/eLife.87169
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