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

Autor: Stefan Ehrlich, Fabio Bernardoni, Gwen C. Dieleman, Vincent W. V. Jaddoe, Cathelijne Steegers, Tonya White, Nadia Micali, Sander Lamballais, Meike W. Vernooij, Jan van der Ende, Pauline W. Jansen, Elisabet Blok, Manon H.J. Hillegers
Přispěvatelé: Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Epidemiology, Erasmus MC other, Pediatrics, Radiology & Nuclear Medicine
Rok vydání: 2021
Předmět:
Zdroj: Brain Structure & Function
Brain Structure & Function, 226(3), 787-800. Springer-Verlag
ISSN: 1863-2661
1863-2653
DOI: 10.1007/s00429-020-02209-0
Popis: 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.
Databáze: OpenAIRE