Effects of classic psychedelic drugs on turbulent signatures in brain dynamics

dc.contributor.authorCruzat Grand, Josefina, 1983-
dc.contributor.authorSanz Perl, Yonatan
dc.contributor.authorEscrichs, Anira
dc.contributor.authorVohryzek, Jakub
dc.contributor.authorTimmermann, Christopher
dc.contributor.authorRoseman, Leor
dc.contributor.authorLuppi, Andrea I.
dc.contributor.authorIbañez, Agustin
dc.contributor.authorNutt, David J.
dc.contributor.authorCarhart-Harris, Robin L.
dc.contributor.authorTagliazucchi, Enzo
dc.contributor.authorDeco, Gustavo
dc.contributor.authorKringelbach, Morten L.
dc.date.accessioned2023-03-06T07:33:43Z
dc.date.available2023-03-06T07:33:43Z
dc.date.issued2022
dc.description.abstractPsychedelic 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.sponsorshipYonatan 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.mimetypeapplication/pdf
dc.identifier.citationCruzat 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.doihttp://dx.doi.org/10.1162/netn_a_00250
dc.identifier.issn2472-1751
dc.identifier.urihttp://hdl.handle.net/10230/56058
dc.language.isoeng
dc.publisherMIT Press
dc.relation.ispartofNetwork Neuroscience. 2022;6(4):1104-24.
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/945539
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/101017716
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/860563
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/2PE/PID2019-105772GB-I00
dc.relation.projectIDinfo: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.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.keywordPsychedelics
dc.subject.keywordPsilocybin
dc.subject.keywordLSD
dc.subject.keywordTurbulence
dc.titleEffects of classic psychedelic drugs on turbulent signatures in brain dynamics
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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