Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/171402
Full metadata record
DC FieldValueLanguage
dc.contributor.authorEscrichs, Anira-
dc.contributor.authorSanjuán, Ana-
dc.contributor.authorAtasoy, Selen-
dc.contributor.authorLópez González, Ane-
dc.contributor.authorGarrido, César-
dc.contributor.authorCamara Mancha, Estela-
dc.contributor.authorDeco, Gustavo-
dc.date.accessioned2020-10-22T13:55:28Z-
dc.date.available2020-10-22T13:55:28Z-
dc.date.issued2019-07-10-
dc.identifier.urihttp://hdl.handle.net/2445/171402-
dc.description.abstractOver 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 themeditator 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.format.extent6 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherFrontiers Media Sa-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3389/fnsys.2019.00027-
dc.relation.ispartofFrontiers in Systems Neuroscience, 2019, vol. 13-
dc.relation.urihttps://doi.org/10.3389/fnsys.2019.00027-
dc.rightscc by (c) Escrichs et al., 2019-
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/-
dc.sourceArticles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))-
dc.subject.classificationMeditació-
dc.subject.classificationNeurociències-
dc.subject.otherMeditation-
dc.subject.otherNeurosciences-
dc.titleCharacterizing the Dynamical Complexity Underlying Meditation-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.date.updated2020-10-13T10:25:08Z-
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/785907/EU//HBP SGA2-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.pmid31354439-
Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

Files in This Item:
File Description SizeFormat 
EscrichsA.pdf924.96 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons