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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7811130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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