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

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 spec...

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Autores principales: Johnson, Amy, Bathelt, Joe, Akarca, Danyal, Astle, Duncan E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811130/
https://www.ncbi.nlm.nih.gov/pubmed/33453544
http://dx.doi.org/10.1016/j.dcn.2020.100888
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author Johnson, Amy
Bathelt, Joe
Akarca, Danyal
Astle, Duncan E.
author_facet Johnson, Amy
Bathelt, Joe
Akarca, Danyal
Astle, Duncan E.
author_sort Johnson, Amy
collection PubMed
description 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.
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spelling pubmed-78111302021-01-22 Far and wide: Associations between childhood socio-economic status and brain connectomics Johnson, Amy Bathelt, Joe Akarca, Danyal Astle, Duncan E. Dev Cogn Neurosci Original Research 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. Elsevier 2020-12-24 /pmc/articles/PMC7811130/ /pubmed/33453544 http://dx.doi.org/10.1016/j.dcn.2020.100888 Text en © 2021 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research
Johnson, Amy
Bathelt, Joe
Akarca, Danyal
Astle, Duncan E.
Far and wide: Associations between childhood socio-economic status and brain connectomics
title Far and wide: Associations between childhood socio-economic status and brain connectomics
title_full Far and wide: Associations between childhood socio-economic status and brain connectomics
title_fullStr Far and wide: Associations between childhood socio-economic status and brain connectomics
title_full_unstemmed Far and wide: Associations between childhood socio-economic status and brain connectomics
title_short Far and wide: Associations between childhood socio-economic status and brain connectomics
title_sort far and wide: associations between childhood socio-economic status and brain connectomics
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7811130/
https://www.ncbi.nlm.nih.gov/pubmed/33453544
http://dx.doi.org/10.1016/j.dcn.2020.100888
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