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Modeled Long-Term Effects of Psilocybin on Dynamic Activity and Effective Connectivity of Fronto-Striatal-Thalamic Circuits.

Overview

Authors: Lorenzo Pasquini1, Jakub Vohryzek2,3, Anira Escrichs2, Yonatan Sanz Perl2, Adrian Ponce‐Alvarez4, Sebastian Idesis2, Manesh Girn1, Leor Roseman5, Jennifer M Mitchell1,6, Adam Gazzaley1,6, Morten Kringelbach3,7, David J Nutt5, Taylor Lyons5, Robin L Carhart‐Harris1,5,6, Gustavo Deco2,8
  1. Department of Neurology, University of California, San Francisco, California, San Francisco, USA
  2. Computational Neuroscience Group, Universitat Pompeu Fabra, Barcelona, Spain
  3. Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, UK
  4. Department of Mathematics, Polytechnic University of Catalonia, Barcelona, Spain
  5. Centre for Psychedelic Research, Imperial College London, London, UK
  6. Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, California, USA
  7. Department of Psychiatry, University of Oxford, Oxford, UK
  8. Institució Catalana de la Recerca i Estudis Avançats (ICREA), Barcelona, Spain
Journal: Human brain mapping, volume 47, issue 10, article e70596
Dates: received 18 March 2026; accepted 23 June 2026; published online 30 June 2026; in print July 2026
Type: Research article · Language: English
License: CC BY-NC
Identifiers: DOI 10.1002/hbm.70596 · PMID 42381187 · PMCID PMC13318930 · OpenAlex W7166854327
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: human (organism), systems (subfield)
Methods: Connectivity, Statistics, fMRI & imaging
Keywords: dynamic brain activity, effective connectivity, fronto‐striatal‐thalamic circuits, Hopf model, psilocybin, serotonin
MeSH: Connectome*, Corpus Striatum*, Frontal Lobe*, Hallucinogens*, Nerve Net*, Psilocybin*, Thalamus*, Adult, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Models, Neurological, Neural Pathways, Young Adult (* major topic)
Topic: Psychedelics and Drug Studies (Clinical Psychology, Psychology), according to OpenAlex
Funding: Alexander von Humboldt-Stiftung Foundation; National Institutes of Health (R00‐AG065457); National Institutes of Health, USA (R00-AG065457)
Citations: cited by 1 paper (Europe PMC); 56 references in the paper

Abstract

Psilocybin has been shown to induce fast and sustained symptoms improvements across various psychiatric conditions, yet its long‐term mechanisms of action are not fully understood. Initial evidence suggests that longitudinal functional and structural brain changes implicate fronto‐striatal‐thalamic (FST) circuitry, a broad system involved in goal‐directed behavior and motivational states. Here, we performed secondary analyses and applied computational modeling to resting‐state fMRI data from a within‐subject longitudinal psilocybin trial in psychedelic‐naïve healthy volunteers. We first showed that dynamic FST activity increased 4 weeks after a full dose of psilocybin. We then proceeded to mechanistically account for these changes by providing tentative model‐based support that reductions in the structure–function coupling contribute to increased dynamic FST activity postpsilocybin. Finally, we used computational approaches to show that psilocybin induces longitudinal increases in bottom‐up and reduced top‐down modulation of FST circuits. We then used publicly available receptor maps to show that cortical reductions in top‐down modulation are linked to regional 5‐HT2A receptor availability, while increased information outflow via subcortical and limbic regions relates to local D2 receptor availability. Together, these findings suggest that increased FST flexibility weeks after a high dose of psilocybin is linked to serotonergic‐mediated decreases in top‐down information flow and dopaminergic‐mediated increases in bottom‐up information flow. This long‐term functional re‐organization of FST circuits may represent a common mechanism contributing to the potential clinical efficacy of psilocybin across various neuropsychiatric disorders including substance abuse, major depression, and anorexia nervosa.

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

lollopasquini

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: the link answers
Software Heritage: not checked
Found in: “Data Availability Statement”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data Availability Statement

Data is available from R.L.C.‐H. or L.R. after reasonable request. Scripts used to generate the data are publicly available on GitHub (https://github.com/lollopasquini).

Reproduced under the paper's license (CC BY-NC), from the paper cited above.

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 15 authors, 6 keywords, 16 MeSH terms, 3 funders, 56 references.

Cite

This paper

Pasquini, L., Vohryzek, J., Escrichs, A., Perl, Y. S., Ponce‐Alvarez, A., Idesis, S., Girn, M., Roseman, L., Mitchell, J. M., Gazzaley, A., Kringelbach, M., Nutt, D. J., Lyons, T., Carhart‐Harris, R. L., & Deco, G. (2026). Modeled Long-Term Effects of Psilocybin on Dynamic Activity and Effective Connectivity of Fronto-Striatal-Thalamic Circuits. Human brain mapping, 47(10), e70596. https://doi.org/10.1002/hbm.70596

BibTeX

@article{pasquini2026modeled,
author = {Pasquini, Lorenzo and Vohryzek, Jakub and Escrichs, Anira and Perl, Yonatan Sanz and Ponce‐Alvarez, Adrian and Idesis, Sebastian and Girn, Manesh and Roseman, Leor and Mitchell, Jennifer M and Gazzaley, Adam and Kringelbach, Morten and Nutt, David J and Lyons, Taylor and Carhart‐Harris, Robin L and Deco, Gustavo},
title = {{Modeled Long-Term Effects of Psilocybin on Dynamic Activity and Effective Connectivity of Fronto-Striatal-Thalamic Circuits}},
journal = {Human brain mapping},
year = {2026},
month = jul,
volume = {47},
number = {10},
pages = {e70596},
publisher = {Wiley},
issn = {1065-9471},
doi = {10.1002/hbm.70596},
url = {https://doi.org/10.1002/hbm.70596},
pmid = {42381187},
pmcid = {PMC13318930}
}

RIS

TY - JOUR
AU - Pasquini, Lorenzo
AU - Vohryzek, Jakub
AU - Escrichs, Anira
AU - Perl, Yonatan Sanz
AU - Ponce‐Alvarez, Adrian
AU - Idesis, Sebastian
AU - Girn, Manesh
AU - Roseman, Leor
AU - Mitchell, Jennifer M
AU - Gazzaley, Adam
AU - Kringelbach, Morten
AU - Nutt, David J
AU - Lyons, Taylor
AU - Carhart‐Harris, Robin L
AU - Deco, Gustavo
TI - Modeled Long-Term Effects of Psilocybin on Dynamic Activity and Effective Connectivity of Fronto-Striatal-Thalamic Circuits
T2 - Human brain mapping
J2 - Hum Brain Mapp
PY - 2026
DA - 2026/07/01
VL - 47
IS - 10
SP - e70596
SN - 1065-9471
PB - Wiley
DO - 10.1002/hbm.70596
UR - https://doi.org/10.1002/hbm.70596
LA - en
ER -

CSL-JSON

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