Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
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
_version_ 1783667524707024896
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
work_keys_str_mv AT steegerscathelijne theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT blokelisabet theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT lamballaissander theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT jaddoevincent theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT bernardonifabio theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT vernooijmeike theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT vanderendejan theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT hillegersmanon theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT micalinadia theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT ehrlichstefan theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT jansenpauline theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT dielemangwen theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT whitetonya theassociationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT steegerscathelijne associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT blokelisabet associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT lamballaissander associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT jaddoevincent associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT bernardonifabio associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT vernooijmeike associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT vanderendejan associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT hillegersmanon associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT micalinadia associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT ehrlichstefan associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT jansenpauline associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT dielemangwen associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy
AT whitetonya associationbetweenbodymassindexandbrainmorphologyinchildrenapopulationbasedstudy