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Parabolic avalanche scaling in the synchronization of cortical cell assemblies

Neurons in the cerebral cortex fire coincident action potentials during ongoing activity and in response to sensory inputs. These synchronized cell assemblies are fundamental to cortex function, yet basic dynamical aspects of their size and duration are largely unknown. Using 2-photon imaging of neu...

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Autores principales: Capek, Elliott, Ribeiro, Tiago L., Kells, Patrick, Srinivasan, Keshav, Miller, Stephanie R., Geist, Elias, Victor, Mitchell, Vakili, Ali, Pajevic, Sinisa, Chialvo, Dante R., Plenz, Dietmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156782/
https://www.ncbi.nlm.nih.gov/pubmed/37137888
http://dx.doi.org/10.1038/s41467-023-37976-x
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author Capek, Elliott
Ribeiro, Tiago L.
Kells, Patrick
Srinivasan, Keshav
Miller, Stephanie R.
Geist, Elias
Victor, Mitchell
Vakili, Ali
Pajevic, Sinisa
Chialvo, Dante R.
Plenz, Dietmar
author_facet Capek, Elliott
Ribeiro, Tiago L.
Kells, Patrick
Srinivasan, Keshav
Miller, Stephanie R.
Geist, Elias
Victor, Mitchell
Vakili, Ali
Pajevic, Sinisa
Chialvo, Dante R.
Plenz, Dietmar
author_sort Capek, Elliott
collection PubMed
description Neurons in the cerebral cortex fire coincident action potentials during ongoing activity and in response to sensory inputs. These synchronized cell assemblies are fundamental to cortex function, yet basic dynamical aspects of their size and duration are largely unknown. Using 2-photon imaging of neurons in the superficial cortex of awake mice, we show that synchronized cell assemblies organize as scale-invariant avalanches that quadratically grow with duration. The quadratic avalanche scaling was only found for correlated neurons, required temporal coarse-graining to compensate for spatial subsampling of the imaged cortex, and suggested cortical dynamics to be critical as demonstrated in simulations of balanced E/I-networks. The corresponding time course of an inverted parabola with exponent of χ = 2 described cortical avalanches of coincident firing for up to 5 s duration over an area of 1 mm(2). These parabolic avalanches maximized temporal complexity in the ongoing activity of prefrontal and somatosensory cortex and in visual responses of primary visual cortex. Our results identify a scale-invariant temporal order in the synchronization of highly diverse cortical cell assemblies in the form of parabolic avalanches.
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spelling pubmed-101567822023-05-05 Parabolic avalanche scaling in the synchronization of cortical cell assemblies Capek, Elliott Ribeiro, Tiago L. Kells, Patrick Srinivasan, Keshav Miller, Stephanie R. Geist, Elias Victor, Mitchell Vakili, Ali Pajevic, Sinisa Chialvo, Dante R. Plenz, Dietmar Nat Commun Article Neurons in the cerebral cortex fire coincident action potentials during ongoing activity and in response to sensory inputs. These synchronized cell assemblies are fundamental to cortex function, yet basic dynamical aspects of their size and duration are largely unknown. Using 2-photon imaging of neurons in the superficial cortex of awake mice, we show that synchronized cell assemblies organize as scale-invariant avalanches that quadratically grow with duration. The quadratic avalanche scaling was only found for correlated neurons, required temporal coarse-graining to compensate for spatial subsampling of the imaged cortex, and suggested cortical dynamics to be critical as demonstrated in simulations of balanced E/I-networks. The corresponding time course of an inverted parabola with exponent of χ = 2 described cortical avalanches of coincident firing for up to 5 s duration over an area of 1 mm(2). These parabolic avalanches maximized temporal complexity in the ongoing activity of prefrontal and somatosensory cortex and in visual responses of primary visual cortex. Our results identify a scale-invariant temporal order in the synchronization of highly diverse cortical cell assemblies in the form of parabolic avalanches. Nature Publishing Group UK 2023-05-03 /pmc/articles/PMC10156782/ /pubmed/37137888 http://dx.doi.org/10.1038/s41467-023-37976-x Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 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
Capek, Elliott
Ribeiro, Tiago L.
Kells, Patrick
Srinivasan, Keshav
Miller, Stephanie R.
Geist, Elias
Victor, Mitchell
Vakili, Ali
Pajevic, Sinisa
Chialvo, Dante R.
Plenz, Dietmar
Parabolic avalanche scaling in the synchronization of cortical cell assemblies
title Parabolic avalanche scaling in the synchronization of cortical cell assemblies
title_full Parabolic avalanche scaling in the synchronization of cortical cell assemblies
title_fullStr Parabolic avalanche scaling in the synchronization of cortical cell assemblies
title_full_unstemmed Parabolic avalanche scaling in the synchronization of cortical cell assemblies
title_short Parabolic avalanche scaling in the synchronization of cortical cell assemblies
title_sort parabolic avalanche scaling in the synchronization of cortical cell assemblies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156782/
https://www.ncbi.nlm.nih.gov/pubmed/37137888
http://dx.doi.org/10.1038/s41467-023-37976-x
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