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In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations

Voltage-sensitive dye imaging (VSDI) is a powerful technique for interrogating membrane potential dynamics in assemblies of cortical neurons, but with effective resolution limits that confound interpretation. To address this limitation, we developed an in silico model of VSDI in a biologically faith...

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Autores principales: Newton, Taylor H., Reimann, Michael W., Abdellah, Marwan, Chevtchenko, Grigori, Muller, Eilif B., Markram, Henry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206372/
https://www.ncbi.nlm.nih.gov/pubmed/34131136
http://dx.doi.org/10.1038/s41467-021-23901-7
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author Newton, Taylor H.
Reimann, Michael W.
Abdellah, Marwan
Chevtchenko, Grigori
Muller, Eilif B.
Markram, Henry
author_facet Newton, Taylor H.
Reimann, Michael W.
Abdellah, Marwan
Chevtchenko, Grigori
Muller, Eilif B.
Markram, Henry
author_sort Newton, Taylor H.
collection PubMed
description Voltage-sensitive dye imaging (VSDI) is a powerful technique for interrogating membrane potential dynamics in assemblies of cortical neurons, but with effective resolution limits that confound interpretation. To address this limitation, we developed an in silico model of VSDI in a biologically faithful digital reconstruction of rodent neocortical microcircuitry. Using this model, we extend previous experimental observations regarding the cellular origins of VSDI, finding that the signal is driven primarily by neurons in layers 2/3 and 5, and that VSDI measurements do not capture individual spikes. Furthermore, we test the capacity of VSD image sequences to discriminate between afferent thalamic inputs at various spatial locations to estimate a lower bound on the functional resolution of VSDI. Our approach underscores the power of a bottom-up computational approach for relating scales of cortical processing.
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spelling pubmed-82063722021-07-01 In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations Newton, Taylor H. Reimann, Michael W. Abdellah, Marwan Chevtchenko, Grigori Muller, Eilif B. Markram, Henry Nat Commun Article Voltage-sensitive dye imaging (VSDI) is a powerful technique for interrogating membrane potential dynamics in assemblies of cortical neurons, but with effective resolution limits that confound interpretation. To address this limitation, we developed an in silico model of VSDI in a biologically faithful digital reconstruction of rodent neocortical microcircuitry. Using this model, we extend previous experimental observations regarding the cellular origins of VSDI, finding that the signal is driven primarily by neurons in layers 2/3 and 5, and that VSDI measurements do not capture individual spikes. Furthermore, we test the capacity of VSD image sequences to discriminate between afferent thalamic inputs at various spatial locations to estimate a lower bound on the functional resolution of VSDI. Our approach underscores the power of a bottom-up computational approach for relating scales of cortical processing. Nature Publishing Group UK 2021-06-15 /pmc/articles/PMC8206372/ /pubmed/34131136 http://dx.doi.org/10.1038/s41467-021-23901-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Newton, Taylor H.
Reimann, Michael W.
Abdellah, Marwan
Chevtchenko, Grigori
Muller, Eilif B.
Markram, Henry
In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations
title In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations
title_full In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations
title_fullStr In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations
title_full_unstemmed In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations
title_short In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations
title_sort in silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206372/
https://www.ncbi.nlm.nih.gov/pubmed/34131136
http://dx.doi.org/10.1038/s41467-021-23901-7
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