Evidence mapPaperPMID 40957507Full record

Trial reportBiological psychiatry. Cognitive neuroscience and neuroimaging2026

Δ

Zachary Anderson, Matthew Gunn, Emily Jones, Olusola Ajilore, K Luan Phan, Harriet de Wit, Heide Klumpp, Vince Calhoun, Natania A Crane

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Zachary AndersonDepartment of Psychology, Northwestern University, Evanston, Illinois; Department of Psychiatry, University of Illinois Chicago, Chicago, Illinois.
Matthew GunnDepartment of Psychiatry, University of Illinois Chicago, Chicago, Illinois.
Emily JonesDepartment of Psychiatry, University of Illinois Chicago, Chicago, Illinois.
Olusola AjiloreDepartment of Psychiatry, University of Illinois Chicago, Chicago, Illinois.
K Luan PhanDepartment of Psychiatry and Behavioral Health, Wexner Medical Center, Ohio State University, Columbus, Ohio.
Harriet de WitDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois.
Heide KlumppDepartment of Psychiatry, University of Illinois Chicago, Chicago, Illinois.
Vince CalhounPsychology Department and Neuroscience Institute, Georgia State University, Atlanta, Georgia; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology and Emory University, Atlanta, Georgia.
Natania A CraneDepartment of Psychiatry, University of Illinois Chicago, Chicago, Illinois. Electronic address: ncrane3@uic.edu.

Funding

DETERMINANTS OF DRUG PREFERENCE IN HUMANSR01DA002812 · NIDA · UNIVERSITY OF CHICAGO · PI Harriett de Wit · 1985 to 2023
$2.8M
NCATS NIH HHS UL1 TR002003NCRR NIH HHS S10 RR028898NIDA NIH HHS K23 DA048132NIDA NIH HHS R01 DA002812
6 · The paper itself

Abstract

backgroundCannabis use among young adults has reached the highest levels ever recorded. Evidence indicates that acute Δ

methodsIn a within-subject, double-blind, randomized study, 33 healthy occasional cannabis users received THC (7.5 mg, oral) and placebo before completing resting-state functional magnetic resonance imaging (rs-fMRI) during peak intoxication. Group-information-guided independent component analysis was performed on resting-state brain data to identify whole-brain networks associated with each scan. Within-samples t tests assessed for differences in intrinsic network functional connectivity and between-network functional connectivity after THC versus placebo. Additional linear models examined relationships between brain connectivity, subjective drug effects, and past-month cannabis use.

resultsTHC reduced within-network intrinsic connectivity in corticostriatal circuits and other networks associated with sensory systems, interoceptive experiences, and spatial reasoning. THC reduced connectivity between 2 networks characterized by the anterior cingulate cortex and dorsal insula regions as well as the ventral insula and lingual gyrus, respectively. Network connectivity during THC (vs. placebo) was not related to subjective measures of drug effect or recent cannabis use.

conclusionsOur findings add to a growing literature showing that THC decreases rs-fMRI throughout the brain, impacting networks linked to the many behavioral and perceptual changes associated with THC. Future work is needed to extend these findings to clinical samples and to assess the extent to which these networks are associated with negative outcomes of chronic THC use.

Indexed as

ConnectomeDronabinolFrontal LobeLimbic SystemAdolescentAdultBrainDouble-Blind MethodFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeural PathwaysYoung AdultDronabinolCannabisfMRIFrequencyIndependent component analysisResting stateΔ(9)-Tetrahydrocannabinol

Identifiers

PMID40957507
PMCPMC13180306

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.