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Brain Microstructure and Obesity Risk in Early Childhood: Insights from Restriction Spectrum Imaging
Mohammadreza Bayat1, Bianca Braun2, Madeline Curzon1
1Department of Psychology, Florida International University, Miami, Florida, United States.
Insights
Pediatric obesity is linked to early brain changes in reward circuits. Higher Body Mass Index (BMI) in young children correlates with altered brain microstructure, regardless of ADHD diagnosis.
Area of Science:
- Neuroscience
- Public Health
- Pediatric Health
Background:
- Pediatric obesity is a significant public health issue.
- Neurobiological factors contributing to early childhood obesity risk are not well understood.
- Early identification of obesity-related neural alterations is crucial for intervention.
Purpose of the Study:
- To investigate the association between adiposity and brain microstructure in early childhood.
- To explore potential neurobiological markers of obesity risk using Restriction Spectrum Imaging (RSI).
- To examine if ADHD diagnosis influences the relationship between adiposity and brain structure.
Main Methods:
- Cross-sectional study of 159 children (4-7 years old), including typically developing (TD) and ADHD groups.
- Utilized Restriction Spectrum Imaging (RSI) to measure brain microstructure (RNI, RND, RNT).
- Assessed adiposity using Body Mass Index (BMI), percent body fat, and waist circumference.
Main Results:
- Higher BMI was significantly associated with increased RNI in the right insula, nucleus accumbens (NAcc), and putamen.
- Higher BMI also correlated with increased RNT in the right insula and pallidum.
- ADHD diagnosis did not moderate these associations, suggesting a shared neural pathway.
Conclusions:
- Early childhood adiposity is associated with microstructural brain alterations in reward-related circuits.
- BMI appears to be a sensitive marker for detecting obesity-related brain differences in young children.
- RSI shows promise as a tool for identifying early neural risk markers for pediatric obesity.
Abstract:
Pediatric obesity is a growing public health concern, yet little is known about the neurobiological underpinnings of obesity risk in early childhood. Using restriction spectrum imaging (RSI), we examined associations between adiposity and brain microstructure in a cross-sectional sample of 159 children aged 4-7 years, including 81 with ADHD and 78 typically developing (TD) peers. We focused on RSI-derived measures of restricted diffusion-specifically restricted normalized isotropic (RNI), directional (RND), and total (RNT) signals-as indicators of cellular density in subcortical and cortical regions implicated in reward and salience processing. Body mass index (BMI), percent body fat, waist circumference, and obesity status were assessed. Higher BMI, but not other adiposity measures, was significantly associated with increased RNI in the right insula, nucleus accumbens (NAcc), and putamen, as well as increased RNT in the right insula and pallidum. These findings suggest early microstructural alterations in reward-related circuits, consistent with theories of diet-related neuroinflammation. Contrary to hypotheses, ADHD diagnosis did not moderate the associations, and anthropometric profiles were similar between groups. This suggests a shared neural pathway linking early adiposity and brain structure, independent of diagnostic status. Our findings replicate and extend prior work in older children, highlighting BMI as the most sensitive marker of obesity-related brain differences in early childhood. These results underscore the potential of RSI as a tool for identifying early neural risk markers of obesity and inform future efforts to design preventive interventions during critical developmental windows.
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