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Anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales

In the highly interconnected architectures of the cerebral cortex, recurrent intracortical loops disproportionately outnumber thalamo-cortical inputs. These networks are also capable of generating neuronal activity without feedforward sensory drive. It is unknown, however, what spatiotemporal patter...

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Autores principales: Kodama, Nathan X., Feng, Tianyi, Ullett, James J., Chiel, Hillel J., Sivakumar, Siddharth S., Galán, Roberto F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766587/
https://www.ncbi.nlm.nih.gov/pubmed/29330480
http://dx.doi.org/10.1038/s41598-017-18097-0
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author Kodama, Nathan X.
Feng, Tianyi
Ullett, James J.
Chiel, Hillel J.
Sivakumar, Siddharth S.
Galán, Roberto F.
author_facet Kodama, Nathan X.
Feng, Tianyi
Ullett, James J.
Chiel, Hillel J.
Sivakumar, Siddharth S.
Galán, Roberto F.
author_sort Kodama, Nathan X.
collection PubMed
description In the highly interconnected architectures of the cerebral cortex, recurrent intracortical loops disproportionately outnumber thalamo-cortical inputs. These networks are also capable of generating neuronal activity without feedforward sensory drive. It is unknown, however, what spatiotemporal patterns may be solely attributed to intrinsic connections of the local cortical network. Using high-density microelectrode arrays, here we show that in the isolated, primary somatosensory cortex of mice, neuronal firing fluctuates on timescales from milliseconds to tens of seconds. Slower firing fluctuations reveal two spatially distinct neuronal ensembles, which correspond to superficial and deeper layers. These ensembles are anti-correlated: when one fires more, the other fires less and vice versa. This interplay is clearest at timescales of several seconds and is therefore consistent with shifts between active sensing and anticipatory behavioral states in mice.
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spelling pubmed-57665872018-01-17 Anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales Kodama, Nathan X. Feng, Tianyi Ullett, James J. Chiel, Hillel J. Sivakumar, Siddharth S. Galán, Roberto F. Sci Rep Article In the highly interconnected architectures of the cerebral cortex, recurrent intracortical loops disproportionately outnumber thalamo-cortical inputs. These networks are also capable of generating neuronal activity without feedforward sensory drive. It is unknown, however, what spatiotemporal patterns may be solely attributed to intrinsic connections of the local cortical network. Using high-density microelectrode arrays, here we show that in the isolated, primary somatosensory cortex of mice, neuronal firing fluctuates on timescales from milliseconds to tens of seconds. Slower firing fluctuations reveal two spatially distinct neuronal ensembles, which correspond to superficial and deeper layers. These ensembles are anti-correlated: when one fires more, the other fires less and vice versa. This interplay is clearest at timescales of several seconds and is therefore consistent with shifts between active sensing and anticipatory behavioral states in mice. Nature Publishing Group UK 2018-01-12 /pmc/articles/PMC5766587/ /pubmed/29330480 http://dx.doi.org/10.1038/s41598-017-18097-0 Text en © The Author(s) 2018 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/.
spellingShingle Article
Kodama, Nathan X.
Feng, Tianyi
Ullett, James J.
Chiel, Hillel J.
Sivakumar, Siddharth S.
Galán, Roberto F.
Anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales
title Anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales
title_full Anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales
title_fullStr Anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales
title_full_unstemmed Anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales
title_short Anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales
title_sort anti-correlated cortical networks arise from spontaneous neuronal dynamics at slow timescales
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766587/
https://www.ncbi.nlm.nih.gov/pubmed/29330480
http://dx.doi.org/10.1038/s41598-017-18097-0
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