Evidence map›Paper›PMID 39323982›Full record

ArticlePNAS nexus2024

Socioeconomic resources in youth are linked to divergent patterns of network integration/segregation across the brain's transmodal axis.

Cleanthis Michael, Aman Taxali, Mike Angstadt, Omid Kardan, Alexander Weigard, M Fiona Molloy, Katherine L McCurry, Luke W Hyde, Mary M Heitzeg, Chandra Sripada

Abstract read
In one paragraph

Article in PNAS nexus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  4. Investigating hierarchical critical periods in human neurodevelopment.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Cleanthis MichaelDepartment of Psychology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID https://orcid.org/0000-0002-5300-473X
Aman TaxaliDepartment of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
Mike AngstadtDepartment of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.ORCID https://orcid.org/0000-0003-4870-7649
Omid KardanDepartment of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.ORCID https://orcid.org/0000-0003-4187-5228
Alexander WeigardDepartment of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.ORCID https://orcid.org/0000-0003-3820-6461
M Fiona MolloyDepartment of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
Katherine L McCurryDepartment of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.ORCID https://orcid.org/0000-0001-6921-7636
Luke W HydeDepartment of Psychology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID https://orcid.org/0000-0002-5947-7896
Mary M HeitzegDepartment of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
Chandra SripadaDepartment of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.ORCID https://orcid.org/0000-0001-9025-6453

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: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
Building a multi-factor etiological model of the emergence of general psychopathology (the "P factor") in adolescence with multi-modal neuroimaging in ABCDR01MH123458 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SRIPADA, CHANDRA SEKHAR · 2021 to 2025
$1.9M
NIDA NIH HHS U01 DA041106NIDA NIH HHS U24 DA041147NIMH NIH HHS R01 MH123458
6 · The paper itself

Abstract

Socioeconomic resources (SER) calibrate the developing brain to the current context, which can confer or attenuate risk for psychopathology across the lifespan. Recent multivariate work indicates that SER levels powerfully relate to intrinsic functional connectivity patterns across the entire brain. Nevertheless, the neuroscientific meaning of these widespread neural differences remains poorly understood, despite its translational promise for early risk identification, targeted intervention, and policy reform. In the present study, we leverage graph theory to precisely characterize multivariate and univariate associations between SER across household and neighborhood contexts and the intrinsic functional architecture of brain regions in 5,821 youth (9-10 years) from the Adolescent Brain Cognitive Development Study. First, we establish that decomposing the brain into profiles of integration and segregation captures more than half of the multivariate association between SER and functional connectivity with greater parsimony (100-fold reduction in number of features) and interpretability. Second, we show that the topological effects of SER are not uniform across the brain; rather, higher SER levels are associated with greater integration of somatomotor and subcortical systems, but greater segregation of default mode, orbitofrontal, and cerebellar systems. Finally, we demonstrate that topological associations with SER are spatially patterned along the unimodal-transmodal gradient of brain organization. These findings provide critical interpretive context for the established and widespread associations between SER and brain organization. This study highlights both higher-order and somatomotor networks that are differentially implicated in environmental stress, disadvantage, and opportunity in youth.

Indexed as

brain developmentgraph theorymultivariate predictive modelingsocioeconomic resourcestransmodal gradient

Identifiers

PMID39323982
PMCPMC11423146

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.