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Related Experiment Video

Updated: May 18, 2026

Control of Eating Behavior Using a Novel Feedback System
04:48

Control of Eating Behavior Using a Novel Feedback System

Published on: May 8, 2018

Brain structure predicts risk for obesity.

Jason Smucny1, Marc-Andre Cornier, Lindsay C Eichman

  • 1Neuroscience Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Appetite
|September 12, 2012
PubMed
Summary
This summary is machine-generated.

Individuals at risk for obesity show reduced gray matter volume in key brain regions like the insula. These neurobiological differences may influence energy intake regulation and are linked to leptin levels.

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Area of Science:

  • Neurobiology
  • Neuroimaging
  • Obesity Research

Background:

  • The neurobiology underlying obesity susceptibility remains unclear.
  • Understanding brain structural differences in individuals predisposed to weight gain is crucial.

Purpose of the Study:

  • To investigate differences in regional gray matter volume between Obese Prone and Obese Resistant adults.
  • To explore the relationship between brain structure, body fat, leptin, and hunger.

Main Methods:

  • Recruited healthy adults categorized as Obese Prone or Obese Resistant.
  • Utilized magnetic resonance imaging (MRI) and voxel-based morphometry (VBM).
  • Analyzed differences in gray matter volume between the two groups.

Main Results:

  • Obese Prone individuals exhibited lower gray matter volume in the insula, medial orbitofrontal cortex, and cerebellum compared to Obese Resistant individuals.
  • These findings persisted after adjusting for body fat mass.
  • Reduced insula gray matter volume correlated negatively with leptin concentration and hunger levels.

Conclusions:

  • Individuals at risk for obesity possess distinct brain structures in regions regulating energy intake.
  • Structural variations, especially in the insula, may be associated with leptin signaling and obesity predisposition.