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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
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Obesity01:24

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The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
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Related Experiment Video

Updated: Jan 16, 2026

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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.

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|September 26, 2025
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Summary
This summary is machine-generated.

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.

Keywords:
ADHDanterior insulanucleus accumbenspediatric obesityrestriction spectrum imaging

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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.