Evidence map›Paper›PMID 39939591›Full record

ArticleNature communications2025

Classification of psychedelics and psychoactive drugs based on brain-wide imaging of cellular c-Fos expression.

Farid Aboharb, Pasha A Davoudian, Ling-Xiao Shao, Clara Liao, Gillian N Rzepka, Cassandra Wojtasiewicz, Jonathan Indajang, Mark Dibbs, Jocelyne Rondeau, Alexander M Sherwood and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  3. Review
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  10. Brain-immune interactions generate pathogen-specific sickness states.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Farid Aboharb *Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Pasha A Davoudian *Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0000-0002-5096-7610
Ling-Xiao ShaoMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.ORCID http://orcid.org/0009-0006-9503-1230
Clara LiaoMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Gillian N RzepkaMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Cassandra WojtasiewiczMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Jonathan IndajangMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Mark DibbsDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0002-4341-361X
Jocelyne RondeauDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Alexander M SherwoodUsona Institute, Fitchburg, WI, USA.
Alfred P KayeDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Alex C KwanMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA. alex.kwan@cornell.edu.ORCID http://orcid.org/0000-0003-2169-1667

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Interdepartmental Neuroscience Program (INP)T32NS041228 · NINDS · YALE UNIVERSITY · PI Charles A Greer, Marina R Picciotto · 2001 to 2026
$12.0M
Weill Cornell/Rockefeller/Sloan Kettering MST ProgramT32GM152349 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KATHARINE C HSU · 2024 to 2026
$6.6M
Cellular basis of psilocybin actions in frontal cortexR01MH128217 · NIMH · CORNELL UNIVERSITY · PI CHUN-HAY ALEX KWAN · 2022 to 2026
$2.9M
A Dendritic Substrate for Fast-Acting Antidepressant ActionR01MH121848 · NIMH · YALE UNIVERSITY · PI KWAN, CHUN-HAY ALEX · 2020 to 2024
$2.6M
Role of cortical GABAergic interneurons in psychedelic drug actionR01MH137047 · NIMH · CORNELL UNIVERSITY · PI CHUN-HAY ALEX KWAN · 2024 to 2026
$1.9M
Determining the role of noradrenergic heterogeneity in innate threat responseK08MH122733 · NIMH · YALE UNIVERSITY · PI KAYE, ALFRED P · 2020 to 2024
$975k
Subcortical targets involved in the action of psilocybin in learned and innate escape behaviorsF30DA059437 · NIDA · YALE UNIVERSITY · PI DAVOUDIAN, PASHA A · 2023 to 2025
$141k
NIDA NIH HHS F30 DA059437NIGMS NIH HHS T32 GM007205NIGMS NIH HHS T32 GM152349NIMH NIH HHS K08 MH122733NIMH NIH HHS R01 MH121848NIMH NIH HHS R01 MH128217NIMH NIH HHS R01 MH137047NINDS NIH HHS T32 NS041228U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH121848U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH128217U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH137047
6 · The paper itself

Abstract

Psilocybin, ketamine, and MDMA are psychoactive compounds that exert behavioral effects with distinguishable but also overlapping features. The growing interest in using these compounds as therapeutics necessitates preclinical assays that can accurately screen psychedelics and related analogs. We posit that a promising approach may be to measure drug action on markers of neural plasticity in native brain tissues. We therefore developed a pipeline for drug classification using light sheet fluorescence microscopy of immediate early gene expression at cellular resolution followed by machine learning. We tested male and female mice with a panel of drugs, including psilocybin, ketamine, 5-MeO-DMT, 6-fluoro-DET, MDMA, acute fluoxetine, chronic fluoxetine, and vehicle. In one-versus-rest classification, the exact drug was identified with 67% accuracy, significantly above the chance level of 12.5%. In one-versus-one classifications, psilocybin was discriminated from 5-MeO-DMT, ketamine, MDMA, or acute fluoxetine with >95% accuracy. We used Shapley additive explanation to pinpoint the brain regions driving the machine learning predictions. Our results suggest a unique approach for characterizing and validating psychoactive drugs with psychedelic properties.

Indexed as

BrainHallucinogensProto-Oncogene Proteins c-fosPsychotropic DrugsAnimalsFemaleFluoxetineKetamineMachine LearningMaleMiceMice, Inbred C57BLMicroscopy, FluorescenceN-Methyl-3,4-methylenedioxyamphetaminePsilocybinFluoxetineHallucinogensKetamineN-Methyl-3,4-methylenedioxyamphetamineProto-Oncogene Proteins c-fosPsilocybinPsychotropic Drugs

Identifiers

PMID39939591
PMCPMC11822132

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.