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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-8206372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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