Effects of classic psychedelic drugs on turbulent signatures in brain dynamics

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• dc.contributor.author Cruzat Grand, Josefina, 1983-
• dc.contributor.author Sanz Perl, Yonatan
• dc.contributor.author Escrichs, Anira
• dc.contributor.author Vohryzek, Jakub
• dc.contributor.author Timmermann, Christopher
• dc.contributor.author Roseman, Leor
• dc.contributor.author Luppi, Andrea I.
• dc.contributor.author Ibañez, Agustin
• dc.contributor.author Nutt, David J.
• dc.contributor.author Carhart-Harris, Robin L.
• dc.contributor.author Tagliazucchi, Enzo
• dc.contributor.author Deco, Gustavo
• dc.contributor.author Kringelbach, Morten L.
• dc.date.accessioned 2023-03-06T07:33:43Z
• dc.date.available 2023-03-06T07:33:43Z
• dc.date.issued 2022
• dc.description.abstract Psychedelic drugs show promise as safe and effective treatments for neuropsychiatric disorders, yet their mechanisms of action are not fully understood. A fundamental hypothesis is that psychedelics work by dose-dependently changing the functional hierarchy of brain dynamics, but it is unclear whether different psychedelics act similarly. Here, we investigated the changes in the brain’s functional hierarchy associated with two different psychedelics (LSD and psilocybin). Using a novel turbulence framework, we were able to determine the vorticity, that is, the local level of synchronization, that allowed us to extend the standard global time-based measure of metastability to become a local-based measure of both space and time. This framework produced detailed signatures of turbulence-based hierarchical change for each psychedelic drug, revealing consistent and discriminate effects on a higher level network, that is, the default mode network. Overall, our findings directly support a prior hypothesis that psychedelics modulate (i.e., “compress”) the functional hierarchy and provide a quantification of these changes for two different psychedelics. Implications for therapeutic applications of psychedelics are discussed.
• dc.description.sponsorship Yonatan Sanz Perl, EU H2020 FET Flagship programme, Award ID: HBP SGA3 945539. Anira Escrichs, EU H2020 FET Flagship programme, Award ID: HBP SGA3 945539. Jakub Vohryzek, EU H2020 FET Proactive project Neurotwin, Award ID: 101017716. Andrea I. Luppi, Gates Cambridge scholarship. Agustin Ibañez, Takeda, CW2680521; CONICET; ANID/FONDECYT Regular (1210195 and 1210176); FONCYT-PICT 2017-1820; ANID/FONDAP/15150012; Sistema General de Regalías (BPIN2018000100059), Universidad del Valle (CI 5316); Programa Interdisciplinario de Investigación Experimental en Comunicación y Cognición (PIIECC), Facultad de Humanidades, USACH; Alzheimer’s Association GBHI ALZ UK-20-639295; and the Multi-Partner Consortium to Expand Dementia Research in Latin America [ReDLat, supported by National Institutes of Health, National Institutes of Aging (R01 AG057234), Alzheimer’s Association (SG-20-725707), Rainwater Charitable Foundation–Tau Consortium, and Global Brain Health Institute)]. Enzo Tagliazucchi, Mercator Fellowship granted by the German Research Foundation, ANPCyT, Award ID: PICT-2019-02294 and Award ID: PICT-2018-03103. Gustavo Deco, Spanish Ministry of Science, Innovation and Universities (MCIU), Award ID: PID2019-105772GB-I00 MCIU AEI), State Research Agency (AEI), EU H2020 FET Flagship programme, Award ID: HBP SGA3 945539, SGR Research Support Group support, Award ID: 2017 SGR 1545, funded by the Catalan Agency for Management of University and Research Grants (AGAUR), EU H2020 FET Proactive programme, Award ID: 101017716), EU H2020 MSCA-ITN Innovative Training Networks: euSNN European School of Network Neuroscience, Award ID: 860563, CECH The Emerging Human Brain Cluster, Award ID: 001-P-001682, within the framework of the European Research Development Fund Operational Program of Catalonia 2014–2020, Fundacio La Marato TV3, Brain-Connects: Brain Connectivity during Stroke Recovery and Rehabilitation, Award ID: 201725.33, FLAG–ERA JTC 2017, Spanish Ministry of Science, Innovation and Universities (MCIU), State Research Agency (AEI), Award ID: PCI2018-092891. Morten L. Kringelbach, Danish National Research Foundation, Award ID: DNRF117, Pettit and Carlsberg Foundations.
• dc.format.mimetype application/pdf
• dc.identifier.citation Cruzat J, Sanz Perl Y, Escrichs A, Vohryzek J, Timmermann C, Roseman L, Luppi AI, Ibañez A, Nutt D, Carhart-Harris R, Tagliazucchi E, Deco G, Kringelbach ML. Effects of classic psychedelic drugs on turbulent signatures in brain dynamics. Netw Neurosci. 2022;6(4):1104-24. DOI: 10.1162/netn_a_00250
• dc.identifier.doi http://dx.doi.org/10.1162/netn_a_00250
• dc.identifier.issn 2472-1751
• dc.identifier.uri http://hdl.handle.net/10230/56058
• dc.language.iso eng
• dc.publisher MIT Press
• dc.relation.ispartof Network Neuroscience. 2022;6(4):1104-24.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/945539
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/101017716
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/860563
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2019-105772GB-I00
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PCI2018-092891
• dc.rights © 2022 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. Publisher version at http://mitpress.mit.edu
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Psychedelics
• dc.subject.keyword Psilocybin
• dc.subject.keyword LSD
• dc.subject.keyword Turbulence
• dc.title Effects of classic psychedelic drugs on turbulent signatures in brain dynamics
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion