Characterizing the dynamical complexity underlying meditation

Over the past 2,500 years, contemplative traditions have explored the nature of the mind using meditation. More recently, neuroimaging research on meditation has revealed differences in brain function and structure in meditators. Nevertheless, the underlying neural mechanisms are still unclear. In o...

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Detalles Bibliográficos
Autores: Escrichs, Anira, Sanjuán, Ana, Atasoy, Selen, López-González, Ane, 1993-, Garrido, César, Càmara, Estela, Deco, Gustavo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/43643
Acceso en línea:http://hdl.handle.net/10230/43643
http://dx.doi.org/10.3389/fnsys.2019.00027
Access Level:acceso abierto
Palabra clave:Ignition
Whole-brain
Meditation
Resting-state
fMRI
Integration
Dynamical complexity
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spelling Characterizing the dynamical complexity underlying meditationEscrichs, AniraSanjuán, AnaAtasoy, SelenLópez-González, Ane, 1993-Garrido, CésarCàmara, EstelaDeco, GustavoIgnitionWhole-brainMeditationResting-statefMRIIntegrationDynamical complexityOver the past 2,500 years, contemplative traditions have explored the nature of the mind using meditation. More recently, neuroimaging research on meditation has revealed differences in brain function and structure in meditators. Nevertheless, the underlying neural mechanisms are still unclear. In order to understand how meditation shapes global activity through the brain, we investigated the spatiotemporal dynamics across the whole-brain functional network using the Intrinsic Ignition Framework. Recent neuroimaging studies have demonstrated that different states of consciousness differ in their underlying dynamical complexity, i.e., how the broadness of communication is elicited and distributed through the brain over time and space. In this work, controls and experienced meditators were scanned using functional magnetic resonance imaging (fMRI) during resting-state and meditation (focused attention on breathing). Our results evidenced that the dynamical complexity underlying meditation shows less complexity than during resting-state in the meditator group but not in the control group. Furthermore, we report that during resting-state, the brain activity of experienced meditators showed higher metastability (i.e., a wider dynamical regime over time) than the one observed in the control group. Overall, these results indicate that the meditation state operates in a different dynamical regime compared to the resting-state.AE is supported by a Francisco J. Varela Award from the Mind and Life Europe. AS is supported by the Spanish Ministry of Economy and Competitiveness Grant FPDI2013-17045. GD is supported by the Spanish Ministry Research Project PSI2016-75688-P (AEI/FEDER), by the European Union's Horizon 2020 FET Flagship Human Brain Project 785907 HBP SGA2, by the Catalan Research Group Support 2017 SGR 1545 and by the Foundation Marato TV3 2016.Frontiers202020202019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/43643http://dx.doi.org/10.3389/fnsys.2019.00027reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésFrontiers in Systems Neuroscience. 2019 Jul 16;13:27info:eu-repo/grantAgreement/EC/H2020/785907info:eu-repo/grantAgreement/ES/1PE/FPDI2013-17045info:eu-repo/grantAgreement/ES/1PE/PSI2016-75688-P© 2019 Escrichs, Sanjuán, Atasoy, López-González, Garrido, Càmara and Deco. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) https://creativecommons.org/licenses/by/4.0/. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/436432026-06-12T07:21:37Z
dc.title.none.fl_str_mv Characterizing the dynamical complexity underlying meditation
title Characterizing the dynamical complexity underlying meditation
spellingShingle Characterizing the dynamical complexity underlying meditation
Escrichs, Anira
Ignition
Whole-brain
Meditation
Resting-state
fMRI
Integration
Dynamical complexity
title_short Characterizing the dynamical complexity underlying meditation
title_full Characterizing the dynamical complexity underlying meditation
title_fullStr Characterizing the dynamical complexity underlying meditation
title_full_unstemmed Characterizing the dynamical complexity underlying meditation
title_sort Characterizing the dynamical complexity underlying meditation
dc.creator.none.fl_str_mv Escrichs, Anira
Sanjuán, Ana
Atasoy, Selen
López-González, Ane, 1993-
Garrido, César
Càmara, Estela
Deco, Gustavo
author Escrichs, Anira
author_facet Escrichs, Anira
Sanjuán, Ana
Atasoy, Selen
López-González, Ane, 1993-
Garrido, César
Càmara, Estela
Deco, Gustavo
author_role author
author2 Sanjuán, Ana
Atasoy, Selen
López-González, Ane, 1993-
Garrido, César
Càmara, Estela
Deco, Gustavo
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Ignition
Whole-brain
Meditation
Resting-state
fMRI
Integration
Dynamical complexity
topic Ignition
Whole-brain
Meditation
Resting-state
fMRI
Integration
Dynamical complexity
description Over the past 2,500 years, contemplative traditions have explored the nature of the mind using meditation. More recently, neuroimaging research on meditation has revealed differences in brain function and structure in meditators. Nevertheless, the underlying neural mechanisms are still unclear. In order to understand how meditation shapes global activity through the brain, we investigated the spatiotemporal dynamics across the whole-brain functional network using the Intrinsic Ignition Framework. Recent neuroimaging studies have demonstrated that different states of consciousness differ in their underlying dynamical complexity, i.e., how the broadness of communication is elicited and distributed through the brain over time and space. In this work, controls and experienced meditators were scanned using functional magnetic resonance imaging (fMRI) during resting-state and meditation (focused attention on breathing). Our results evidenced that the dynamical complexity underlying meditation shows less complexity than during resting-state in the meditator group but not in the control group. Furthermore, we report that during resting-state, the brain activity of experienced meditators showed higher metastability (i.e., a wider dynamical regime over time) than the one observed in the control group. Overall, these results indicate that the meditation state operates in a different dynamical regime compared to the resting-state.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
2020
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/43643
http://dx.doi.org/10.3389/fnsys.2019.00027
url http://hdl.handle.net/10230/43643
http://dx.doi.org/10.3389/fnsys.2019.00027
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Frontiers in Systems Neuroscience. 2019 Jul 16;13:27
info:eu-repo/grantAgreement/EC/H2020/785907
info:eu-repo/grantAgreement/ES/1PE/FPDI2013-17045
info:eu-repo/grantAgreement/ES/1PE/PSI2016-75688-P
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info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Frontiers
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