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Resting state brain dynamics and its transients: a combined TMS-EEG study
The brain at rest exhibits a spatio-temporally rich dynamics which adheres to systematic behaviours that persist in task paradigms but appear altered in disease. Despite this hypothesis, many rest state paradigms do not act directly upon the rest state and therefore cannot confirm hypotheses about i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4973226/ https://www.ncbi.nlm.nih.gov/pubmed/27488504 http://dx.doi.org/10.1038/srep31220 |
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author | Bonnard, Mireille Chen, Sophie Gaychet, Jérôme Carrere, Marcel Woodman, Marmaduke Giusiano, Bernard Jirsa, Viktor |
author_facet | Bonnard, Mireille Chen, Sophie Gaychet, Jérôme Carrere, Marcel Woodman, Marmaduke Giusiano, Bernard Jirsa, Viktor |
author_sort | Bonnard, Mireille |
collection | PubMed |
description | The brain at rest exhibits a spatio-temporally rich dynamics which adheres to systematic behaviours that persist in task paradigms but appear altered in disease. Despite this hypothesis, many rest state paradigms do not act directly upon the rest state and therefore cannot confirm hypotheses about its mechanisms. To address this challenge, we combined transcranial magnetic stimulation (TMS) and electroencephalography (EEG) to study brain’s relaxation toward rest following a transient perturbation. Specifically, TMS targeted either the medial prefrontal cortex (MPFC), i.e. part of the Default Mode Network (DMN) or the superior parietal lobule (SPL), involved in the Dorsal Attention Network. TMS was triggered by a given brain state, namely an increase in occipital alpha rhythm power. Following the initial TMS-Evoked Potential, TMS at MPFC enhances the induced occipital alpha rhythm, called Event Related Synchronisation, with a longer transient lifetime than TMS at SPL, and a higher amplitude. Our findings show a strong coupling between MPFC and the occipital alpha power. Although the rest state is organized around a core of resting state networks, the DMN functionally takes a special role among these resting state networks. |
format | Online Article Text |
id | pubmed-4973226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49732262016-08-11 Resting state brain dynamics and its transients: a combined TMS-EEG study Bonnard, Mireille Chen, Sophie Gaychet, Jérôme Carrere, Marcel Woodman, Marmaduke Giusiano, Bernard Jirsa, Viktor Sci Rep Article The brain at rest exhibits a spatio-temporally rich dynamics which adheres to systematic behaviours that persist in task paradigms but appear altered in disease. Despite this hypothesis, many rest state paradigms do not act directly upon the rest state and therefore cannot confirm hypotheses about its mechanisms. To address this challenge, we combined transcranial magnetic stimulation (TMS) and electroencephalography (EEG) to study brain’s relaxation toward rest following a transient perturbation. Specifically, TMS targeted either the medial prefrontal cortex (MPFC), i.e. part of the Default Mode Network (DMN) or the superior parietal lobule (SPL), involved in the Dorsal Attention Network. TMS was triggered by a given brain state, namely an increase in occipital alpha rhythm power. Following the initial TMS-Evoked Potential, TMS at MPFC enhances the induced occipital alpha rhythm, called Event Related Synchronisation, with a longer transient lifetime than TMS at SPL, and a higher amplitude. Our findings show a strong coupling between MPFC and the occipital alpha power. Although the rest state is organized around a core of resting state networks, the DMN functionally takes a special role among these resting state networks. Nature Publishing Group 2016-08-04 /pmc/articles/PMC4973226/ /pubmed/27488504 http://dx.doi.org/10.1038/srep31220 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Bonnard, Mireille Chen, Sophie Gaychet, Jérôme Carrere, Marcel Woodman, Marmaduke Giusiano, Bernard Jirsa, Viktor Resting state brain dynamics and its transients: a combined TMS-EEG study |
title | Resting state brain dynamics and its transients: a combined TMS-EEG study |
title_full | Resting state brain dynamics and its transients: a combined TMS-EEG study |
title_fullStr | Resting state brain dynamics and its transients: a combined TMS-EEG study |
title_full_unstemmed | Resting state brain dynamics and its transients: a combined TMS-EEG study |
title_short | Resting state brain dynamics and its transients: a combined TMS-EEG study |
title_sort | resting state brain dynamics and its transients: a combined tms-eeg study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4973226/ https://www.ncbi.nlm.nih.gov/pubmed/27488504 http://dx.doi.org/10.1038/srep31220 |
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