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Adaptive modulation of brain hemodynamics across stereotyped running episodes
During locomotion, theta and gamma rhythms are essential to ensure timely communication between brain structures. However, their metabolic cost and contribution to neuroimaging signals remain elusive. To finely characterize neurovascular interactions during locomotion, we simultaneously recorded mes...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713412/ https://www.ncbi.nlm.nih.gov/pubmed/33273463 http://dx.doi.org/10.1038/s41467-020-19948-7 |
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author | Bergel, Antoine Tiran, Elodie Deffieux, Thomas Demené, Charlie Tanter, Mickaël Cohen, Ivan |
author_facet | Bergel, Antoine Tiran, Elodie Deffieux, Thomas Demené, Charlie Tanter, Mickaël Cohen, Ivan |
author_sort | Bergel, Antoine |
collection | PubMed |
description | During locomotion, theta and gamma rhythms are essential to ensure timely communication between brain structures. However, their metabolic cost and contribution to neuroimaging signals remain elusive. To finely characterize neurovascular interactions during locomotion, we simultaneously recorded mesoscale brain hemodynamics using functional ultrasound (fUS) and local field potentials (LFP) in numerous brain structures of freely-running overtrained rats. Locomotion events were reliably followed by a surge in blood flow in a sequence involving the retrosplenial cortex, dorsal thalamus, dentate gyrus and CA regions successively, with delays ranging from 0.8 to 1.6 seconds after peak speed. Conversely, primary motor cortex was suppressed and subsequently recruited during reward uptake. Surprisingly, brain hemodynamics were strongly modulated across trials within the same recording session; cortical blood flow sharply decreased after 10–20 runs, while hippocampal responses strongly and linearly increased, particularly in the CA regions. This effect occurred while running speed and theta activity remained constant and was accompanied by an increase in the power of hippocampal, but not cortical, high-frequency oscillations (100–150 Hz). Our findings reveal distinct vascular subnetworks modulated across fast and slow timescales and suggest strong hemodynamic adaptation, despite the repetition of a stereotyped behavior. |
format | Online Article Text |
id | pubmed-7713412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77134122020-12-07 Adaptive modulation of brain hemodynamics across stereotyped running episodes Bergel, Antoine Tiran, Elodie Deffieux, Thomas Demené, Charlie Tanter, Mickaël Cohen, Ivan Nat Commun Article During locomotion, theta and gamma rhythms are essential to ensure timely communication between brain structures. However, their metabolic cost and contribution to neuroimaging signals remain elusive. To finely characterize neurovascular interactions during locomotion, we simultaneously recorded mesoscale brain hemodynamics using functional ultrasound (fUS) and local field potentials (LFP) in numerous brain structures of freely-running overtrained rats. Locomotion events were reliably followed by a surge in blood flow in a sequence involving the retrosplenial cortex, dorsal thalamus, dentate gyrus and CA regions successively, with delays ranging from 0.8 to 1.6 seconds after peak speed. Conversely, primary motor cortex was suppressed and subsequently recruited during reward uptake. Surprisingly, brain hemodynamics were strongly modulated across trials within the same recording session; cortical blood flow sharply decreased after 10–20 runs, while hippocampal responses strongly and linearly increased, particularly in the CA regions. This effect occurred while running speed and theta activity remained constant and was accompanied by an increase in the power of hippocampal, but not cortical, high-frequency oscillations (100–150 Hz). Our findings reveal distinct vascular subnetworks modulated across fast and slow timescales and suggest strong hemodynamic adaptation, despite the repetition of a stereotyped behavior. Nature Publishing Group UK 2020-12-03 /pmc/articles/PMC7713412/ /pubmed/33273463 http://dx.doi.org/10.1038/s41467-020-19948-7 Text en © The Author(s) 2020 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 Bergel, Antoine Tiran, Elodie Deffieux, Thomas Demené, Charlie Tanter, Mickaël Cohen, Ivan Adaptive modulation of brain hemodynamics across stereotyped running episodes |
title | Adaptive modulation of brain hemodynamics across stereotyped running episodes |
title_full | Adaptive modulation of brain hemodynamics across stereotyped running episodes |
title_fullStr | Adaptive modulation of brain hemodynamics across stereotyped running episodes |
title_full_unstemmed | Adaptive modulation of brain hemodynamics across stereotyped running episodes |
title_short | Adaptive modulation of brain hemodynamics across stereotyped running episodes |
title_sort | adaptive modulation of brain hemodynamics across stereotyped running episodes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713412/ https://www.ncbi.nlm.nih.gov/pubmed/33273463 http://dx.doi.org/10.1038/s41467-020-19948-7 |
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