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Early life factors and structural brain network in children with overweight/obesity: The ActiveBrains project.
Solis-Urra, Patricio; Rodriguez-Ayllon, Maria; Verdejo-Román, Juan; Erickson, Kirk I; Verdejo-García, Antonio; Catena, Andrés; Ortega, Francisco B; Esteban-Cornejo, Irene.
Afiliación
  • Solis-Urra P; Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain. patriciosolis@ugr.es.
  • Rodriguez-Ayllon M; Servicio de Medicina Nuclear, Hospital Universitario Virgen de las Nieves, 18014, Granada, España. patriciosolis@ugr.es.
  • Verdejo-Román J; Faculty of Education and Social Sciences, Universidad Andres Bello, Viña del Mar, 2531015, Chile. patriciosolis@ugr.es.
  • Erickson KI; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
  • Verdejo-García A; Department of Personality, Assessment & Psychological Treatment, University of Granada, Granada, Spain.
  • Catena A; Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain.
  • Ortega FB; Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
  • Esteban-Cornejo I; AdventHealth Research Institute, Neuroscience, Orlando, FL, USA.
Pediatr Res ; 2023 Dec 08.
Article en En | MEDLINE | ID: mdl-38066249
ABSTRACT

BACKGROUND:

The aims of this study were to investigate the association of early life factors, including birth weight, birth length, and breastfeeding practices, with structural brain networks; and to test whether structural brain networks associated with early life factors were also associated with academic performance in children with overweight/obesity (OW/OB).

METHOD:

96 children with OW/OB aged 8-11 years (10.03 ± 1.16) from the ActiveBrains project were included. Early life factors were collected from birth records and reported by parents as weight, height, and months of breastfeeding. T1-weighted images were used to identify structural networks using a non-negative matrix factorization (NNMF) approach. Academic performance was evaluated by the Woodcock-Muñoz standardized test battery.

RESULTS:

Birth weight and birth length were associated with seven networks involving the cerebellum, cingulate gyrus, occipital pole, and subcortical structures including hippocampus, caudate nucleus, putamen, pallidum, nucleus accumbens, and amygdala. No associations were found for breastfeeding practices. None of the networks linked to birth weight and birth length were linked to academic performance.

CONCLUSIONS:

Birth weight and birth length, but not breastfeeding, were associated with brain structural networks in children with OW/OB. Thus, early life factors are related to brain networks, yet a link with academic performance was not observed. IMPACT Birth weight and birth length, but not breastfeeding, were associated with several structural brain networks involving the cerebellum, cingulate gyrus, occipital pole, and subcortical structures including hippocampus, caudate, putamen, pallidum, accumbens and amygdala in children with overweight/obesity, playing a role for a normal brain development. Despite no academic consequences, other behavioral consequences should be investigated. Interventions aimed at improving optimal intrauterine growth and development may be of importance to achieve a healthy brain later in life.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Pediatr Res Año: 2023 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Pediatr Res Año: 2023 Tipo del documento: Article País de afiliación: España