Evidence map›Paper›PMID 41831540›Full record

ArticleNeuroImage2026

Social media use and early adolescent brain structure: Findings from the Adolescent Brain Cognitive Development (ABCD) Study.

Jason M Nagata, Kevin Bao, Stuart B Murray, Pierre Nedelec, Racquel A Richardson, Sahana Nayak, Elizabeth J Li, Jennifer H Wong, Eva M Muller-Oehring, Aaron Scheffler and 3 more

Abstract read
In one paragraph

Article in NeuroImage, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Jason M NagataDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, 550 16th Street, Box 0503 San Francisco, CA 94143, USA. Electronic address: jason.nagata@ucsf.edu.
Kevin BaoDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, 550 16th Street, Box 0503 San Francisco, CA 94143, USA. Electronic address: kevin.bao@berkeley.edu.
Stuart B MurrayDepartment of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, 10833 Le Conte Avenue, CHS - Box 951668, Los Angeles, CA 90095-1668, USA. Electronic address: drstuartmurray@gmail.com.
Pierre NedelecDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, 550 16th Street, Box 0503 San Francisco, CA 94143, USA. Electronic address: pierre.nedelec@ucsf.edu.
Racquel A RichardsonDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, 550 16th Street, Box 0503 San Francisco, CA 94143, USA. Electronic address: racquel101@berkeley.edu.
Sahana NayakDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, 550 16th Street, Box 0503 San Francisco, CA 94143, USA. Electronic address: snayak5@ucsc.edu.
Elizabeth J LiDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, 550 16th Street, Box 0503 San Francisco, CA 94143, USA. Electronic address: elizabethli@berkeley.edu.
Jennifer H WongDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of California, San Francisco, 550 16th Street, Box 0503 San Francisco, CA 94143, USA. Electronic address: jennifer_wongg@berkeley.edu.
Eva M Muller-OehringCenter for Health Sciences, SRI International, Menlo Park, 333 Ravenswood Ave, Menlo Park, CA 94025, USA. Electronic address: eva.muller-oehring@sri.com.
Aaron SchefflerDepartment of Epidemiology and Biostatistics, University of California, San Francisco, 505 Parnassus Ave, San Francisco, CA 94143, USA. Electronic address: aaron.scheffler@ucsf.edu.
Fiona C BakerCenter for Health Sciences, SRI International, Menlo Park, 333 Ravenswood Ave, Menlo Park, CA 94025, USA. Electronic address: fiona.baker@sri.com.
Andreas M RauscheckerDepartment of Radiology & Biomedical Imaging, University of California, San Francisco, 505 Parnassus Ave, San Francisco, CA 94143, USA. Electronic address: andreas.rauschecker@ucsf.edu.
Leo P SugrueDepartment of Radiology & Biomedical Imaging, University of California, San Francisco, 505 Parnassus Ave, San Francisco, CA 94143, USA. Electronic address: leo.sugrue@ucsf.edu.

Funding

ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
Prospective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2M
ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
ABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7M
Adolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5M
ABCD-USA Consortium:Research ProjectU01DA041028 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN B. CLARK, BEATRIZ LUNA · 2015 to 2026
$13.9M
NHLBI NIH HHS K08 HL159350NIDA NIH HHS R01 DA064134NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIMH NIH HHS R01 MH135492NIMH NIH HHS RF1 MH135492
6 · The paper itself

Abstract

Many adolescents initiate social media use during early adolescence, but the associations of early social media use with neurodevelopment have not been extensively studied. We utilized neuroimaging data from the U.S. Adolescent Brain Cognitive Development (ABCD) Study to investigate the association of social media use (hours per day) or social media addiction (Social Media Addiction Questionnaire) with brain morphology in early adolescence. We analyzed data from 7,614 participants with high-quality structural MRI and complete covariate data at Year 2 (2018-2020, ages 10-13). In addition to pre-defined cortical regions, we performed vertexwise analysis using the Fast and Efficient Mixed Effects Algorithm (FEMA), which is unbiased by arbitrary borders between atlas-based brain regions and provides higher spatial resolution. After adjusting for demographics, socioeconomic factors, genetic ancestry, non-social media screen time, and scanner features, higher average daily social media use was significantly associated with lower total cortical thickness and volume. Region-of-interest (ROI) and vertexwise analysis identified broad regions with lower cortical thickness across the prefrontal cortices, temporal lobe, occipital lobe, and parietal lobe associated with social media use and social media addiction, which overlap with key nodes of the default mode network, prefrontal executive control networks, and visual processing and attention networks. Social media addiction was not significantly associated with differences in brain morphology in ROI analysis. Our findings in a large nationwide population demonstrate that higher social media use is associated with variation in cortical morphology, but future studies are required to establish the directionality of this association.

Indexed as

Adolescent DevelopmentBrainCognitionSocial MediaAdolescentChildDigital MediaFemaleHumansMagnetic Resonance ImagingMaleMedia ExposureNeurodevelopmentBrain developmentImagingSocial mediaStructural MRI

Identifiers

PMID41831540
PMCPMC13055894

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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.