Evidence map›Paper›PMID 40578273›Full record

ArticleDevelopmental cognitive neuroscience2025

Associations among socioeconomic disadvantage, longitudinal changes in within-network connectivity, and academic outcomes in the ABCD study.

Divyangana Rakesh, Ekaterina Sadikova, Katie A McLaughlin

Abstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

3 authors.

Divyangana RakeshDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London UK; Department of Psychology, Harvard University, Cambridge USA. Electronic address: divyangana.rakesh@kcl.ac.uk.
Ekaterina SadikovaDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston USA.
Katie A McLaughlinDepartment of Psychology, Harvard University, Cambridge USA; Ballmer Institute, University of Oregon, Oregon USA.

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
15/21 ABCD-USA Consortium: Research Project Site at LIBRU01DA050989 · NIDA · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI ROBIN L AUPPERLE, MARTIN P. PAULUS · 2020 to 2026
$14.7M
NIDA 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 U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIMH NIH HHS R01 MH106482NIMH NIH HHS R37 MH119194
6 · The paper itself

Abstract

Lower parental socioeconomic status (SES) is consistently linked to lower academic achievement among adolescents, with early disparities persisting into adulthood. However, the neurobiological mechanisms underlying these associations are not well understood. This preregistered study investigates the associations between household and neighborhood disadvantage-measured by income-to-needs ratio, parental educational attainment, and neighborhood SES-changes in within-network functional connectivity, and school grades, using longitudinal data from the Adolescent Brain Cognitive Development Study (N = 4745; age at baseline = 119.1 ± 7.5 months; age at 2-year follow up = 143.6 ± 7.8 months; age at 3-year follow up = 154.8 ± 7.7 months). Within-network connectivity changed significantly from baseline to follow-up, increasing in most networks (e.g., default mode, fronto-parietal) and decreasing in a few (e.g., salience, ventral attention). After controlling for other SES indicators, parental education and neighborhood disadvantage, but not income, were associated with changes in connectivity across several brain networks, including reduced increases in default mode, cingulo-opercular, and visual network connectivity and greater increases in within-sensorimotor network connectivity. Further, changes in sensorimotor connectivity mediated the relationship between parental educational attainment and academic achievement three years later. These findings highlight the importance of parental education and neighborhood environments in shaping neurodevelopmental trajectories that influence academic outcomes. Understanding the mechanisms that link socioeconomic disadvantage with academic outcomes could inform interventions aimed at reducing persistent achievement gaps.

Indexed as

Academic SuccessAdolescent DevelopmentBrainNerve NetSocial ClassAdolescentChildConnectomeEducational StatusFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleSocioeconomic Disparities in HealthABCD studyAcademic achievementChildhood and adolescenceResting state functional connectivitySocioeconomic status

Identifiers

PMID40578273
PMCPMC12268074

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LicenceCC BY-NC-ND
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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.