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Differences in brain morphology and working memory capacity across childhood
Working memory (WM) skills are closely associated with learning progress in key areas such as reading and mathematics across childhood. As yet, however, little is known about how the brain systems underpinning WM develop over this critical developmental period. The current study investigated whether...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5947821/ https://www.ncbi.nlm.nih.gov/pubmed/28748537 http://dx.doi.org/10.1111/desc.12579 |
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author | Bathelt, Joe Gathercole, Susan E. Johnson, Amy Astle, Duncan E. |
author_facet | Bathelt, Joe Gathercole, Susan E. Johnson, Amy Astle, Duncan E. |
author_sort | Bathelt, Joe |
collection | PubMed |
description | Working memory (WM) skills are closely associated with learning progress in key areas such as reading and mathematics across childhood. As yet, however, little is known about how the brain systems underpinning WM develop over this critical developmental period. The current study investigated whether and how structural brain correlates of components of the working memory system change over development. Verbal and visuospatial short‐term and working memory were assessed in 153 children between 5.58 and 15.92 years, and latent components of the working memory system were derived. Fractional anisotropy and cortical thickness maps were derived from T1‐weighted and diffusion‐weighted MRI and processed using eigenanatomy decomposition. There was a greater involvement of the corpus callosum and posterior temporal white matter in younger children for performance associated with the executive part of the working memory system. For older children, this was more closely linked with the thickness of the occipitotemporal cortex. These findings suggest that increasing specialization leads to shifts in the contribution of neural substrates over childhood, moving from an early dependence on a distributed system supported by long‐range connections to later reliance on specialized local circuitry. Our findings demonstrate that despite the component factor structure being stable across childhood, the underlying brain systems supporting working memory change. Taking the age of the child into account, and not just their overall score, is likely to be critical for understanding the nature of the limitations on their working memory capacity. |
format | Online Article Text |
id | pubmed-5947821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59478212018-05-17 Differences in brain morphology and working memory capacity across childhood Bathelt, Joe Gathercole, Susan E. Johnson, Amy Astle, Duncan E. Dev Sci Papers Working memory (WM) skills are closely associated with learning progress in key areas such as reading and mathematics across childhood. As yet, however, little is known about how the brain systems underpinning WM develop over this critical developmental period. The current study investigated whether and how structural brain correlates of components of the working memory system change over development. Verbal and visuospatial short‐term and working memory were assessed in 153 children between 5.58 and 15.92 years, and latent components of the working memory system were derived. Fractional anisotropy and cortical thickness maps were derived from T1‐weighted and diffusion‐weighted MRI and processed using eigenanatomy decomposition. There was a greater involvement of the corpus callosum and posterior temporal white matter in younger children for performance associated with the executive part of the working memory system. For older children, this was more closely linked with the thickness of the occipitotemporal cortex. These findings suggest that increasing specialization leads to shifts in the contribution of neural substrates over childhood, moving from an early dependence on a distributed system supported by long‐range connections to later reliance on specialized local circuitry. Our findings demonstrate that despite the component factor structure being stable across childhood, the underlying brain systems supporting working memory change. Taking the age of the child into account, and not just their overall score, is likely to be critical for understanding the nature of the limitations on their working memory capacity. John Wiley and Sons Inc. 2017-07-26 2018-05 /pmc/articles/PMC5947821/ /pubmed/28748537 http://dx.doi.org/10.1111/desc.12579 Text en © 2017 The Authors. Developmental Science Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Papers Bathelt, Joe Gathercole, Susan E. Johnson, Amy Astle, Duncan E. Differences in brain morphology and working memory capacity across childhood |
title | Differences in brain morphology and working memory capacity across childhood |
title_full | Differences in brain morphology and working memory capacity across childhood |
title_fullStr | Differences in brain morphology and working memory capacity across childhood |
title_full_unstemmed | Differences in brain morphology and working memory capacity across childhood |
title_short | Differences in brain morphology and working memory capacity across childhood |
title_sort | differences in brain morphology and working memory capacity across childhood |
topic | Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5947821/ https://www.ncbi.nlm.nih.gov/pubmed/28748537 http://dx.doi.org/10.1111/desc.12579 |
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