Evidence map›Paper›PMID 33453544›Full record

ArticleDevelopmental cognitive neuroscience2021

Far and wide: Associations between childhood socio-economic status and brain connectomics.

Amy Johnson, Joe Bathelt, Danyal Akarca, Gemma Crickmore, Duncan E Astle, RED Team

Abstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Cognitive and neuropsychomotor development in craniosynostosis: an evaluation of the most affected functions.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Observational
  3. Article
  4. The Neurobiology of Life Course Socioeconomic Conditions and Associated Cognitive Performance in Middle to Late Adulthood.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Observational
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

6 authors.

Amy JohnsonMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom.
Joe BatheltDepartment of Psychology, Royal Holloway, University of London, United Kingdom.
Danyal AkarcaMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom.
Gemma CrickmoreMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom.
Duncan E AstleMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom. Electronic address: duncan.astle@mrc-cbu.cam.ac.uk.
RED TeamMedical Research Council Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom.

Funding

Medical Research Council MC-A0606-5PQ41Medical Research Council MC_UP_A060_1103Medical Research Council MC_UU_00005/2
6 · The paper itself

Abstract

Previous studies have identified localized associations between childhood environment - namely their socio-economic status (SES) - and particular neural structures. The primary aim of the current study was to test whether associations between SES and brain structure are widespread or limited to specific neural pathways. We employed advances in whole-brain structural connectomics to address this. Diffusion tensor imaging was used to construct whole-brain connectomes in 113 6-12 year olds. We then applied an adapted multi-block partial-least squares (PLS) regression to explore how connectome organisation is associated with childhood SES (parental income, education levels, and neighbourhood deprivation). The Fractional Anisotropy (FA) connectome was significantly associated with childhood SES and this effect was widespread. We then pursued a secondary aim, and demonstrated that the connectome mediated the relationship between SES and cognitive ability (matrix reasoning and vocabulary). However, the connectome did not significantly mediate SES relationships with academic ability (maths and reading) or internalising and externalising behavior. This multivariate approach is important for advancing our theoretical understanding of how brain development may be shaped by childhood environment, and the role that it plays in predicting key outcomes. We also discuss the limitations with this new methodological approach.

Indexed as

ConnectomeBrainChildDiffusion Tensor ImagingEconomic StatusHumansSocial ClassbehaviourCognitive abilityconnectomicsDiffusion tensor imaging (DTI)educational attainmentSocio-economic status

Identifiers

PMID33453544
PMCPMC7811130

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.