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Associations between digital media use and brain surface structural measures in preschool-aged children

The American Academy of Pediatrics recommends limits on digital media use (“screen time”), citing cognitive-behavioral risks. Media use in early childhood is ubiquitous, though few imaging-based studies have been conducted to quantify impacts on brain development. Cortical morphology changes dynamic...

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Autores principales: Hutton, John S., Dudley, Jonathan, DeWitt, Thomas, Horowitz-Kraus, Tzipi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645312/
https://www.ncbi.nlm.nih.gov/pubmed/36351968
http://dx.doi.org/10.1038/s41598-022-20922-0
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author Hutton, John S.
Dudley, Jonathan
DeWitt, Thomas
Horowitz-Kraus, Tzipi
author_facet Hutton, John S.
Dudley, Jonathan
DeWitt, Thomas
Horowitz-Kraus, Tzipi
author_sort Hutton, John S.
collection PubMed
description The American Academy of Pediatrics recommends limits on digital media use (“screen time”), citing cognitive-behavioral risks. Media use in early childhood is ubiquitous, though few imaging-based studies have been conducted to quantify impacts on brain development. Cortical morphology changes dynamically from infancy through adulthood and is associated with cognitive-behavioral abilities. The current study involved 52 children who completed MRI and cognitive testing at a single visit. The MRI protocol included a high-resolution T1-weighted anatomical scan. The child’s parent completed the ScreenQ composite measure of media use. MRI measures included cortical thickness (CT) and sulcal depth (SD) across the cerebrum. ScreenQ was applied as a predictor of CT and SD first in whole-brain regression analyses and then for regions of interest (ROIs) identified in a prior study of screen time involving adolescents, controlling for sex, age and maternal education. Higher ScreenQ scores were correlated with lower CT in right-lateralized occipital, parietal, temporal and fusiform areas, and also lower SD in right-lateralized inferior temporal/fusiform areas, with substantially greater statistical significance in ROI-based analyses. These areas support primary visual and higher-order processing and align with prior findings in adolescents. While differences in visual areas likely reflect maturation, those in higher-order areas may suggest under-development, though further studies are needed.
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spelling pubmed-96453122022-11-14 Associations between digital media use and brain surface structural measures in preschool-aged children Hutton, John S. Dudley, Jonathan DeWitt, Thomas Horowitz-Kraus, Tzipi Sci Rep Article The American Academy of Pediatrics recommends limits on digital media use (“screen time”), citing cognitive-behavioral risks. Media use in early childhood is ubiquitous, though few imaging-based studies have been conducted to quantify impacts on brain development. Cortical morphology changes dynamically from infancy through adulthood and is associated with cognitive-behavioral abilities. The current study involved 52 children who completed MRI and cognitive testing at a single visit. The MRI protocol included a high-resolution T1-weighted anatomical scan. The child’s parent completed the ScreenQ composite measure of media use. MRI measures included cortical thickness (CT) and sulcal depth (SD) across the cerebrum. ScreenQ was applied as a predictor of CT and SD first in whole-brain regression analyses and then for regions of interest (ROIs) identified in a prior study of screen time involving adolescents, controlling for sex, age and maternal education. Higher ScreenQ scores were correlated with lower CT in right-lateralized occipital, parietal, temporal and fusiform areas, and also lower SD in right-lateralized inferior temporal/fusiform areas, with substantially greater statistical significance in ROI-based analyses. These areas support primary visual and higher-order processing and align with prior findings in adolescents. While differences in visual areas likely reflect maturation, those in higher-order areas may suggest under-development, though further studies are needed. Nature Publishing Group UK 2022-11-09 /pmc/articles/PMC9645312/ /pubmed/36351968 http://dx.doi.org/10.1038/s41598-022-20922-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hutton, John S.
Dudley, Jonathan
DeWitt, Thomas
Horowitz-Kraus, Tzipi
Associations between digital media use and brain surface structural measures in preschool-aged children
title Associations between digital media use and brain surface structural measures in preschool-aged children
title_full Associations between digital media use and brain surface structural measures in preschool-aged children
title_fullStr Associations between digital media use and brain surface structural measures in preschool-aged children
title_full_unstemmed Associations between digital media use and brain surface structural measures in preschool-aged children
title_short Associations between digital media use and brain surface structural measures in preschool-aged children
title_sort associations between digital media use and brain surface structural measures in preschool-aged children
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645312/
https://www.ncbi.nlm.nih.gov/pubmed/36351968
http://dx.doi.org/10.1038/s41598-022-20922-0
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