Far and wide: Associations between childhood socio-economic status and brain connectomics.
Cognitive ability
Diffusion tensor imaging (DTI)
Socio-economic status
behaviour
connectomics
educational attainment
Journal
Developmental cognitive neuroscience
ISSN: 1878-9307
Titre abrégé: Dev Cogn Neurosci
Pays: Netherlands
ID NLM: 101541838
Informations de publication
Date de publication:
04 2021
04 2021
Historique:
received:
18
04
2020
revised:
07
11
2020
accepted:
16
11
2020
pubmed:
17
1
2021
medline:
13
10
2021
entrez:
16
1
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 33453544
pii: S1878-9293(20)30138-9
doi: 10.1016/j.dcn.2020.100888
pmc: PMC7811130
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
100888Subventions
Organisme : Medical Research Council
ID : MC_UP_A060_1103
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00005/2
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC-A0606-5PQ41
Pays : United Kingdom
Informations de copyright
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.