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The association between body mass index and brain morphology in children: a population-based study
Brain morphology is altered in both anorexia nervosa and obesity. However, it is yet unclear if the relationship between Body Mass Index-Standard Deviation Score (BMI-SDS) and brain morphology exists across the BMI-SDS spectrum, or is present only in the extremes. The study involved 3160 9-to-11 yea...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7981300/ https://www.ncbi.nlm.nih.gov/pubmed/33484342 http://dx.doi.org/10.1007/s00429-020-02209-0 |
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author | Steegers, Cathelijne Blok, Elisabet Lamballais, Sander Jaddoe, Vincent Bernardoni, Fabio Vernooij, Meike van der Ende, Jan Hillegers, Manon Micali, Nadia Ehrlich, Stefan Jansen, Pauline Dieleman, Gwen White, Tonya |
author_facet | Steegers, Cathelijne Blok, Elisabet Lamballais, Sander Jaddoe, Vincent Bernardoni, Fabio Vernooij, Meike van der Ende, Jan Hillegers, Manon Micali, Nadia Ehrlich, Stefan Jansen, Pauline Dieleman, Gwen White, Tonya |
author_sort | Steegers, Cathelijne |
collection | PubMed |
description | Brain morphology is altered in both anorexia nervosa and obesity. However, it is yet unclear if the relationship between Body Mass Index-Standard Deviation Score (BMI-SDS) and brain morphology exists across the BMI-SDS spectrum, or is present only in the extremes. The study involved 3160 9-to-11 year-old children (50.3% female) who participate in Generation R, a population-based study. Structural MRI scans were obtained from all children and FreeSurfer was used to quantify both global and surface-based measures of gyrification and cortical thickness. Body length and weight were measured to calculate BMI. Dutch growth curves were used to calculate BMI-SDS. BMI-SDS was analyzed continuously and in two categories (median split). The relationship between BMI-SDS (range − 3.82 to 3.31) and gyrification showed an inverted-U shape curve in children with both lower and higher BMI-SDS values having lower gyrification in widespread areas of the brain. BMI-SDS had a positive linear association with cortical thickness in multiple brain regions. This study provides evidence for an association between BMI-SDS and brain morphology in a large sample of children from the general population and suggests that a normal BMI during childhood is important for brain development. Future studies could determine whether lifestyle modifications optimize BMI-SDS result in return to more typical patterns of brain morphology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00429-020-02209-0. |
format | Online Article Text |
id | pubmed-7981300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-79813002021-04-12 The association between body mass index and brain morphology in children: a population-based study Steegers, Cathelijne Blok, Elisabet Lamballais, Sander Jaddoe, Vincent Bernardoni, Fabio Vernooij, Meike van der Ende, Jan Hillegers, Manon Micali, Nadia Ehrlich, Stefan Jansen, Pauline Dieleman, Gwen White, Tonya Brain Struct Funct Original Article Brain morphology is altered in both anorexia nervosa and obesity. However, it is yet unclear if the relationship between Body Mass Index-Standard Deviation Score (BMI-SDS) and brain morphology exists across the BMI-SDS spectrum, or is present only in the extremes. The study involved 3160 9-to-11 year-old children (50.3% female) who participate in Generation R, a population-based study. Structural MRI scans were obtained from all children and FreeSurfer was used to quantify both global and surface-based measures of gyrification and cortical thickness. Body length and weight were measured to calculate BMI. Dutch growth curves were used to calculate BMI-SDS. BMI-SDS was analyzed continuously and in two categories (median split). The relationship between BMI-SDS (range − 3.82 to 3.31) and gyrification showed an inverted-U shape curve in children with both lower and higher BMI-SDS values having lower gyrification in widespread areas of the brain. BMI-SDS had a positive linear association with cortical thickness in multiple brain regions. This study provides evidence for an association between BMI-SDS and brain morphology in a large sample of children from the general population and suggests that a normal BMI during childhood is important for brain development. Future studies could determine whether lifestyle modifications optimize BMI-SDS result in return to more typical patterns of brain morphology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00429-020-02209-0. Springer Berlin Heidelberg 2021-01-23 2021 /pmc/articles/PMC7981300/ /pubmed/33484342 http://dx.doi.org/10.1007/s00429-020-02209-0 Text en © The Author(s) 2021 Open AccessThis 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/. |
spellingShingle | Original Article Steegers, Cathelijne Blok, Elisabet Lamballais, Sander Jaddoe, Vincent Bernardoni, Fabio Vernooij, Meike van der Ende, Jan Hillegers, Manon Micali, Nadia Ehrlich, Stefan Jansen, Pauline Dieleman, Gwen White, Tonya The association between body mass index and brain morphology in children: a population-based study |
title | The association between body mass index and brain morphology in children: a population-based study |
title_full | The association between body mass index and brain morphology in children: a population-based study |
title_fullStr | The association between body mass index and brain morphology in children: a population-based study |
title_full_unstemmed | The association between body mass index and brain morphology in children: a population-based study |
title_short | The association between body mass index and brain morphology in children: a population-based study |
title_sort | association between body mass index and brain morphology in children: a population-based study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7981300/ https://www.ncbi.nlm.nih.gov/pubmed/33484342 http://dx.doi.org/10.1007/s00429-020-02209-0 |
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