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Meditation Increases the Entropy of Brain Oscillatory Activity

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dc.contributor.author Martínez Vivot, Rocío
dc.contributor.author Pallavicini, Carla
dc.contributor.author Zamberlan, Federico
dc.contributor.author Vigo, Daniel Eduardo
dc.contributor.author Tagliazucchi, Enzo
dc.date.accessioned 2020-12-29T14:02:44Z
dc.date.available 2020-12-29T14:02:44Z
dc.date.issued 2020-04-01
dc.identifier.citation Martínez Vivot, R., Pallavicini, C., Zamberlan, F., Vigo, D., Tagliazucchi, E., 2020. Meditation Increases the Entropy of Brain Oscillatory Activity. Neuroscience 431, 40–51. https://doi.org/10.1016/j.neuroscience.2020.01.033 en_US
dc.identifier.uri https://doi.org/10.1016/j.neuroscience.2020.01.033
dc.identifier.uri https://repositorio.fleni.org.ar/handle/123456789/289
dc.description.abstract We address the hypothesis that the entropy of neural dynamics indexes the intensity and quality of conscious content. Previous work established that serotonergic psychedelics can have a dysregulating effect on brain activity, leading to subjective effects that present a considerable overlap with the phenomenology of certain meditative states. Here we propose that the prolonged practice of meditation results in endogenous increased entropy of brain oscillatory activity. We estimated the entropy of band-specific oscillations during the meditative state of traditions classified as 'focused attention' (Himalayan Yoga), 'open monitoring' (Vipassana), and 'open awareness' (Isha Shoonya Yoga). Among all traditions, Vipassana resulted in the highest entropy increases, predominantly in the alpha and low/high gamma bands. In agreement with previous studies, all meditation traditions increased the global coherence in the gamma band, but also stabilized gamma-range dynamics by lowering the metastability. Finally, machine learning classifiers could successfully generalize between certain pairs of meditation traditions based on the scalp distribution of gamma band entropies. Our results extend previous findings on the spectral changes observed during meditation, showing how long-term practice can lead to the capacity for achieving brain states of high entropy. This constitutes an example of an endogenous, self-induced high entropy state. en_US
dc.language.iso eng en_US
dc.publisher Elsevier en_US
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by/2.5/ar/
dc.subject Meditation en_US
dc.subject Meditación en_US
dc.subject Entropy en_US
dc.subject Entropía en_US
dc.subject Electroencephalography en_US
dc.subject Electroencefalografía en_US
dc.title Meditation Increases the Entropy of Brain Oscillatory Activity en_US
dc.type info:eu-repo/semantics/publishedVersion
dc.type info:eu-repo/semantics/article en_US
dc.description.fil Fil: Martínez Vivot, Rocío. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Instituto de Física de Buenos Aires; Argentina. Instituto de Investigaciones Biomédicas UCA-CONICET (BIOMED); Argentina.
dc.description.fil Fil: Pallavicini, Carla. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Instituto de Física de Buenos Aires; Argentina. Instituto de Investigaciones Biomédicas UCA-CONICET (BIOMED); Argentina. Fleni; Argentina.
dc.description.fil Fil: Zamberlan, Federico. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Instituto de Física de Buenos Aires; Argentina.
dc.description.fil Fil: Vigo, Daniel Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Investigaciones Biomédicas UCA-CONICET (BIOMED); Argentina.
dc.description.fil Fil: Tagliazucchi, Enzo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Instituto de Física de Buenos Aires; Argentina.
dc.relation.ispartofVOLUME 431
dc.relation.ispartofPAGINATION 40-51.
dc.relation.ispartofCOUNTRY Estados Unidos
dc.relation.ispartofCITY Nueva York
dc.relation.ispartofTITLE Neuroscience
dc.relation.ispartofISSN 1873-7544
dc.type.snrd info:ar-repo/semantics/artículo es_ES


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