• Medientyp: E-Artikel
  • Titel: The association between body mass index and brain morphology in children: a population-based study
  • Beteiligte: 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
  • Erschienen: Springer Science and Business Media LLC, 2021
  • Erschienen in: Brain Structure and Function, 226 (2021) 3, Seite 787-800
  • Sprache: Englisch
  • DOI: 10.1007/s00429-020-02209-0
  • ISSN: 1863-2653; 1863-2661
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>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.</jats:p>