Evidence map›Paper›PMID 41539355›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2026

Associations Between Youth Marijuana and Alcohol Use, Neurocognitive Performance, and Triple-Network Resting-State Connectivity.

Sophia H Blyth, Lauren D Hill, Anna Huang, Neil D Woodward, Baxter P Rogers, Simon Vandekar, Heather Burrell Ward

Abstract read
In one paragraph

Article 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
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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

7 authors.

Sophia H BlythDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
Lauren D HillDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
Anna HuangDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
Neil D WoodwardDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
Baxter P RogersDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
Simon VandekarDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Heather Burrell WardDepartment of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee. Electronic address: heather.b.ward@vumc.org.

Funding

Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Alcohol Research in the Science/Practitioner ModelT32AA013525 · NIAAA · SAN DIEGO STATE UNIVERSITY · PI EDWARD P RILEY, ANDREA SPADONI TOWNSEND · 2002 to 2026
$8.4M
Network-Targeted Neuromodulation for Nicotine Dependence in SchizophreniaK23DA059690 · NIDA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Heather Burrell Ward · 2024 to 2026
$557k
NIAAA NIH HHS T32 AA013525NICHD NIH HHS P50 HD103537NIDA NIH HHS K23 DA059690
6 · The paper itself

Abstract

backgroundAdolescent substance use is associated with increased risk of suicide, overdose, and executive dysfunction. Alcohol and marijuana are the two most-used substances among young people. Substance use is associated with dysfunctional resting-state network connectivity between the default mode network (DMN), executive control network (ECN), and salience network (SN) and executive dysfunction. There is limited research on triple-network connectivity (DMN, ECN, SN) in adolescents who use substances.

methodsIn typically developing youth from the Philadelphia Neurodevelopmental Cohort (PNC), regression models were used to examine relationships between alcohol and marijuana use and triple-network connectivity (n = 520), while adjusting for age, sex, maternal education, and head motion. In individuals with neurocognitive and substance use data (n = 4197), regression models were used to examine relationships with executive control.

resultsAlcohol use was not associated with any connectivity measures after false discovery rate correction. Higher marijuana use was associated with higher DMN-ECN connectivity (F

conclusionsIn typically developing youth, marijuana use was associated with DMN-ECN connectivity, while alcohol use was associated with neurocognitive performance. Future research should use interventions targeting the DMN, ECN, and SN to interrogate relationships between connectivity, cognitive performance, and substance use.

Indexed as

Alcohol DrinkingBrainConnectomeDefault Mode NetworkExecutive FunctionMarijuana UseNerve NetAdolescentCognitionFemaleHumansMagnetic Resonance ImagingMaleMemory, Short-TermAdolescenceAlcoholDefault mode networkExecutive control networkMarijuanaResting-state functional connectivitySalience network

Identifiers

PMID41539355
PMCPMC12906899

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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.