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
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
1061-1070Subventions
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.