Characterizing the dynamical complexity underlying meditation

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• dc.contributor.author Escrichs, Anira
• dc.contributor.author Sanjuán, Ana
• dc.contributor.author Atasoy, Selen
• dc.contributor.author López-González, Ane, 1993-
• dc.contributor.author Garrido, César
• dc.contributor.author Càmara, Estela
• dc.contributor.author Deco, Gustavo
• dc.date.accessioned 2020-02-18T15:24:43Z
• dc.date.available 2020-02-18T15:24:43Z
• dc.date.issued 2019
• dc.description.abstract 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.
• dc.description.sponsorship 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.
• dc.format.mimetype application/pdf
• dc.identifier.citation Escrichs A, Sanjuán A, Atasoy S, López-González A, Garrido C, Càmara E, Deco G. Characterizing the dynamical complexity underlying meditation. Front Syst Neurosci. 2019 Jul 16;13:27. DOI: 10.3389/fnsys.2019.00027
• dc.identifier.doi http://dx.doi.org/10.3389/fnsys.2019.00027
• dc.identifier.issn 1662-5137
• dc.identifier.uri http://hdl.handle.net/10230/43643
• dc.language.iso eng
• dc.publisher Frontiers
• dc.relation.ispartof Frontiers in Systems Neuroscience. 2019 Jul 16;13:27
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/785907
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/FPDI2013-17045
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/PSI2016-75688-P
• dc.rights © 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.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Ignition
• dc.subject.keyword Whole-brain
• dc.subject.keyword Meditation
• dc.subject.keyword Resting-state
• dc.subject.keyword fMRI
• dc.subject.keyword Integration
• dc.subject.keyword Dynamical complexity
• dc.title Characterizing the dynamical complexity underlying meditation
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion