Brain and Behavior Influences on Obesity Development From Infancy Through Childhood
Start Date
12/2/2024
Completion Date
3/31/2029
Summary
The investigators project, RESONATE, aims to investigate why some children develop obesity. To do this it uses data on eating and eating-related behaviors, genetic and environmental factors, and brain structure and function. This data is collected in a sub-sample of RESONANCE, a large study of families of children from infancy through childhood. The results will lay foundations for the development of early interventions to prevent or treat obesity.
Detailed Description
Obesity risk shows individual variation such that some children are more likely than others to gain excess weight. One potential reason is that, due to genetic and environmental factors, individuals vary in appetitive behaviors that drive food intake and weight. However, the neurodevelopmental mechanisms underpinning variation in appetite and weight, and effects of risk and protective factors on those outcomes, are not understood. Preliminary data from RESONANCE, the investigators large MRI cohort, suggests obesity risk factors such as maternal pre-pregnancy obesity and obesity-associated genetic variants are associated with not just heightened parent-reported child appetite and adiposity, but with altered patterns of brain structure development from infancy through early childhood. However the relevance of these findings to appetitive behaviors and development of obesity in middle childhood is unknown. This is important because obesity rates and metabolic complications increase through development, adiposity and eating habits measured in later childhood track into adulthood, and obesity is harder to treat later in development, making middle childhood a key stage for capturing outcomes with relevance for lifetime metabolic health. Further, although functional magnetic resonance imaging (MRI) studies have identified altered patterns of activation in brain appetite circuits in association with pediatric obesity and early risk factors for obesity, the predictors of altered functioning of brain appetite circuits in middle childhood are unknown. Identifying the patterns of brain development that predict obesity-promoting behaviors and brain functioning in middle childhood is essential to understand the neural mechanisms by which early obesity risk factors drive excess intake and obesity, and may help pinpoint neurobehavioral targets for early obesity prevention. Finally, although preclinical research and MRI studies of children under 9 years of age support that hypothalamic gliosis, a cellular inflammatory response, plays a role in obesity pathogenesis, it is unclear whether it occurs or impacts appetite in earlier life. For the proposed study, RESONATE, the investigators will address the above research gaps by extending the RESONANCE study to administer meal tests, behavioral and functional magnetic resonance imaging (fMRI) tasks assessing food and non-food reward and cognitive control, and weight/ adiposity measures in middle childhood, and examining hypothalamic gliosis, in a sub-sample of RESONANCE children. By combining this data with extant MRI data and extant or newly-collected data on obesity risk and protective factors, the investigators will test a multi-faceted hypothesis that prenatal, genetic and postnatal factors lead to differential early development of brain appetite circuits, which in turn gives rise to variation in appetitive behaviors and behaviors involving reward processing and cognitive control as well as altered function of brain appetite circuits, that act to influence the development of obesity into middle childhood. The investigator's long-term goal is to lay foundations for developmentally-appropriate, neurobehaviorally-informed interventions to address child obesity.
Eligibility Criteria
Age Range: 7 years to 12 years
Interventions
fMRI cue reactivity task
fMRI go no go task
Ad libitum meal test
Eating in the absence of hunger test
Conditions
Locations
Hugo W. Moser Research Institute at Kennedy Krieger, Inc.
Baltimore, Maryland 21205
United States
Johns Hopkins University School of Medicine
Baltimore, Maryland 21287
United States
Rhode Island Hospital
Providence, Rhode Island 02903
United States
University of Washington
Seattle, Washington 98109
United States