Toward Mapping Neurobehavioral Heterogeneity of Psychedelic Neurobiology in Humans.

Computational modeling Neuroimaging Precision psychiatry Psychedelics Serotonin fMRI

Journal

Biological psychiatry
ISSN: 1873-2402
Titre abrégé: Biol Psychiatry
Pays: United States
ID NLM: 0213264

Informations de publication

Date de publication:
15 06 2023
Historique:
received: 20 06 2022
revised: 10 10 2022
accepted: 31 10 2022
medline: 2 6 2023
pubmed: 31 1 2023
entrez: 30 1 2023
Statut: ppublish

Résumé

Precision psychiatry aims to identify markers of interindividual variability that allow for predicting the right treatment for each patient. However, bridging the gap between molecular-level manipulations and neural systems-level functional alterations remains an unsolved problem in psychiatry. After decades of low success rates in pharmaceutical research and development for psychiatric drugs, multiple studies now point to the potential of psychedelics as a promising, fast-acting, and long-lasting treatment for some psychiatric symptoms. Yet, given the highly psychoactive nature of these substances, a precision medicine approach is essential to map the neural signals related to clinical efficacy to identify patients who can maximally benefit from this treatment. Recent studies have shown that bridging the gap between pharmacology, systems-level neural response in humans, and individual experience is possible for psychedelic substances, therefore paving the way for a precision neuropsychiatric therapeutic development. Specifically, it has been shown that the integration of brain-wide positron emission tomography or transcriptomic data, i.e., receptor distribution for the serotonin 2A receptor, with computational neuroimaging methods can simulate the effect of psychedelics on the human brain. These novel computational psychiatry approaches allow for modeling interindividual differences in neural as well as subjective effects of psychedelic substances. Collectively, this review provides a deep dive into psychedelic pharmaconeuroimaging studies with a core focus on how recent computational psychiatry advances in biophysically based circuit modeling can be leveraged to predict individual responses. Finally, we emphasize the importance of human pharmacological neuroimaging for the continued precision therapeutic development of psychedelics.

Identifiants

pubmed: 36715317
pii: S0006-3223(22)01805-4
doi: 10.1016/j.biopsych.2022.10.021
pii:
doi:

Substances chimiques

Hallucinogens 0

Types de publication

Journal Article Review Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1061-1070

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH112746
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH121766
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH112189
Pays : United States

Informations de copyright

Copyright © 2022 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

Auteurs

Flora Moujaes (F)

Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.

Katrin H Preller (KH)

Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut. Electronic address: preller@bli.uzh.ch.

Jie Lisa Ji (JL)

Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.

John D Murray (JD)

Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Department of Physics, Yale University, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut.

Lucie Berkovitch (L)

Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Université de Paris, École de Médecine, Paris, France; Department of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neurosciences, Paris, France.

Franz X Vollenweider (FX)

Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital for Psychiatry Zurich, Zurich, Switzerland.

Alan Anticevic (A)

Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut. Electronic address: alan.anticevic@yale.edu.

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Classifications MeSH