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Spectral signatures of serotonergic psychedelics and glutamatergic dissociatives

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dc.contributor.author Pallavicini, Carla
dc.contributor.author Vilas, Martina G.
dc.contributor.author Villarreal, Mirta Fabiana
dc.contributor.author Zamberlan, Federico
dc.contributor.author Muthukumaraswamy, Suresh
dc.contributor.author Nutt, David
dc.contributor.author Carhart-Harris, Robin
dc.contributor.author Tagliazucchi, Enzo
dc.date.accessioned 2020-11-11T13:54:41Z
dc.date.available 2020-11-11T13:54:41Z
dc.date.issued 2019-06-24
dc.identifier.citation Pallavicini, C., Vilas, M.G., Villarreal, M., Zamberlan, F., Muthukumaraswamy, S., Nutt, D., Carhart-Harris, R., Tagliazucchi, E. Spectral signatures of serotonergic psychedelics and glutamatergic dissociatives. Neuroimage 2019 Oct 15;200:281-291. doi: 10.1016/j.neuroimage.2019.06.053. Epub 2019 Jun en_US
dc.identifier.uri https://doi.org/10.1016/j.neuroimage.2019.06.053
dc.identifier.uri https://repositorio.fleni.org.ar/handle/123456789/229
dc.description.abstract Classic serotonergic psychedelics are remarkable for their capacity to induce reversible alterations in consciousness of the self and the surroundings, mediated by agonism at serotonin 5-HT2A receptors. The subjective effects elicited by dissociative drugs acting as N-methyl-D-aspartate (NMDA) antagonists (e.g. ketamine and phencyclidine) overlap in certain domains with those of serotonergic psychedelics, suggesting some potential similarities in the brain activity patterns induced by both classes of drugs, despite different pharmacological mechanisms of action. We investigated source-localized magnetoencephalography recordings to determine the frequency-specific changes in oscillatory activity and long-range functional coupling that are common to two serotonergic compounds (lysergic acid diethylamide [LSD] and psilocybin) and the NMDA-antagonist ketamine. Administration of the three drugs resulted in widespread and broadband spectral power reductions. We established their similarity by using different pairs of compounds to train and subsequently evaluate multivariate machine learning classifiers. After applying the same methodology to functional connectivity values, we observed a pattern of occipital, parietal and frontal decreases in the low alpha and theta bands that were specific to LSD and psilocybin, as well as decreases in the low beta band common to the three drugs. Our results represent a first effort in the direction of quantifying the similarity of large-scale brain activity patterns induced by drugs of different mechanism of action, confirming the link between changes in theta and alpha oscillations and 5-HT2A agonism, while also revealing the decoupling of activity in the beta band as an effect shared between NMDA antagonists and 5-HT2A agonists. We discuss how these frequency-specific convergences and divergences in the power and functional connectivity of brain oscillations might relate to the overlapping subjective effects of serotonergic psychedelics and glutamatergic dissociative compounds. 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 Excitatory Amino Acid Antagonists en_US
dc.subject Antagonistas de Aminoácidos Excitadores en_US
dc.subject Hallucinogens en_US
dc.subject Alucinógenos en_US
dc.subject Ketamine en_US
dc.subject Ketamina en_US
dc.subject Lysergic Acid Diethylamide en_US
dc.subject Dietilamida del Ácido Lisérgico en_US
dc.subject Magnetoencephalography en_US
dc.subject Magnetoencefalografía en_US
dc.title Spectral signatures of serotonergic psychedelics and glutamatergic dissociatives en_US
dc.type info:eu-repo/semantics/publishedVersion
dc.type info:eu-repo/semantics/article en_US
dc.description.fil Fil: Pallavicini, Carla. Instituto de Neurociencias FLENI-CONICET; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Instituto de Física de Buenos Aires; Argentina.
dc.description.fil Fil: Vilas, Martina G. Max Planck Institute for Empirical Aesthetics; Alemania.
dc.description.fil Fil: Villarreal, Mirta Fabiana. Instituto de Neurociencias FLENI-CONICET; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Instituto de Física de Buenos Aires; Argentina.
dc.description.fil Fil: Zamberlan, Federico. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Instituto de Física de Buenos Aires; Argentina.
dc.description.fil Fil: Muthukumaraswamy, Suresh. University of Auckland Faculty of Medical and Health Sciences; Nueva Zelanda.
dc.description.fil Fil: Nutt, David. Centre for Neuropsychopharmacology; Reino Unido.
dc.description.fil Fil: Carhart-Harris, Robin. Centre for Neuropsychopharmacology; Reino Unido.
dc.description.fil Fil: Tagliazucchi, Enzo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Instituto de Física de Buenos Aires; Argentina.
dc.relation.ispartofVOLUME 200
dc.relation.ispartofPAGINATION 281-291
dc.relation.ispartofCOUNTRY Estados Unidos
dc.relation.ispartofCITY Orlando
dc.relation.ispartofTITLE NeuroImage
dc.relation.ispartofISSN 1095-9572
dc.type.snrd info:ar-repo/semantics/artículo es_ES


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