Effects of classic psychedelic drugs on turbulent signatures in brain dynamics.

LSD Psilocybin Psychedelics Turbulence

Journal

Network neuroscience (Cambridge, Mass.)
ISSN: 2472-1751
Titre abrégé: Netw Neurosci
Pays: United States
ID NLM: 101719149

Informations de publication

Date de publication:
2022
Historique:
received: 25 11 2021
accepted: 06 04 2022
medline: 1 10 2022
pubmed: 1 10 2022
entrez: 27 5 2024
Statut: epublish

Résumé

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. Significant progress has been made in understanding the effects of psychedelics on brain function. One of the main hypotheses is that psychedelics work by changing the functional hierarchy of brain dynamics in a dose-dependent manner, modulating the encoding of the precision of priors, beliefs, or assumptions in the brain. We used a novel turbulence framework to investigate the changes in the brain’s functional hierarchy associated with two different psychedelics (LSD and psilocybin). 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.

Autres résumés

Type: plain-language-summary (eng)
Significant progress has been made in understanding the effects of psychedelics on brain function. One of the main hypotheses is that psychedelics work by changing the functional hierarchy of brain dynamics in a dose-dependent manner, modulating the encoding of the precision of priors, beliefs, or assumptions in the brain. We used a novel turbulence framework to investigate the changes in the brain’s functional hierarchy associated with two different psychedelics (LSD and psilocybin). 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.

Identifiants

pubmed: 38800462
doi: 10.1162/netn_a_00250
pii: netn_a_00250
pmc: PMC11117113
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1104-1124

Informations de copyright

© 2022 Massachusetts Institute of Technology.

Déclaration de conflit d'intérêts

Competing Interests: The authors have declared that no competing interests exist.

Auteurs

Josephine Cruzat (J)

Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile.
Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.
Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, United Kingdom.

Yonatan Sanz Perl (YS)

Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.

Anira Escrichs (A)

Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.

Jakub Vohryzek (J)

Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.
Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, United Kingdom.

Christopher Timmermann (C)

Centre for Psychedelic Research, Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, United Kingdom.

Leor Roseman (L)

Centre for Psychedelic Research, Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, United Kingdom.

Andrea I Luppi (AI)

Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Leverhulme Centre for the Future of Intelligence, University of Cambridge, Cambridge, United Kingdom.
The Alan Turing Institute, London, United Kingdom.

Agustin Ibañez (A)

Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile.
Cognitive Neuroscience Center (CNC), Universidad de San Andrés, and CONICET, Buenos Aires, Argentina.
Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA, USA, and Trinity College Dublin (TCD), Dublin, Ireland.

David Nutt (D)

Centre for Psychedelic Research, Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, United Kingdom.

Robin Carhart-Harris (R)

Centre for Psychedelic Research, Division of Psychiatry, Department of Brain Sciences, Imperial College London, London, United Kingdom.
Psychedelics Division-Neuroscape, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.

Enzo Tagliazucchi (E)

Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago, Chile.
Physics Department, University of Buenos Aires, and Buenos Aires Physics Institute, Buenos Aires, Argentina.

Gustavo Deco (G)

Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.
Institució Catalana de la Recerca i Estudis Avancats (ICREA), Barcelona, Spain.
Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia.

Morten L Kringelbach (ML)

Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, United Kingdom.
Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
Center for Music in the Brain, Department of Clinical Medicine, Aarhus University, Denmark.

Classifications MeSH