The association between body mass index and brain morphology in children: a population-based study

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

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.

Details

Original languageEnglish
Pages (from-to)787-800
Number of pages14
JournalBrain Structure and Function
Volume226
Issue number3
Publication statusPublished - Apr 2021
Peer-reviewedYes

External IDs

PubMed 33484342
ORCID /0000-0003-2132-4445/work/160950865
ORCID /0000-0002-5112-405X/work/160952987

Keywords

Sustainable Development Goals

ASJC Scopus subject areas

Keywords

  • BMI, Brain development, Cortical folding, Cortical thickness, Gyrification