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Voxel-based morphometry reveals brain gray matter volume changes in successful dieters
Robyn A Honea1, Amanda N Szabo-Reed2, Rebecca J Lepping3
1Department of Neurology, University of Kansas School of Medicine, Kansas City, Kansas, USA.
Obesity (Silver Spring, Md.)
|July 20, 2016
Summary
Brain volume changes predict weight loss (WL) in dieters with obesity. Successful weight loss is linked to gray matter volume changes in brain regions associated with interoception and food motivation.
Area of Science:
- Neuroimaging
- Obesity Research
- Behavioral Science
Background:
- Obesity is a complex condition influenced by various factors, including brain structure and function.
- Understanding the neural correlates of weight loss (WL) is crucial for developing effective interventions.
- Previous research suggests a link between brain structure and dietary behaviors.
Purpose of the Study:
- To investigate regional brain volume predictors of percent weight loss (WL) in dieters with obesity (DwO).
- To compare brain volume changes between successful (≥7% WL) and unsuccessful dieters (<7% WL).
- To identify brain regions associated with successful weight management.
Main Methods:
- Structural MRI scans were acquired at baseline and 3 months for DwO (n=72) and healthy weight (n=22) participants.
- Voxel-based morphometry (SPM8) was used to measure regional gray matter volume (GMV) and white matter volume.
- Correlations between WL and baseline/change in brain volume, and group differences, were analyzed.
Main Results:
- Positive correlation between %WL and baseline GMV in the right parahippocampal and orbitofrontal gyri in DwO.
- Successful dieters exhibited greater GMV loss in the left precentral gyrus and insula compared to unsuccessful dieters.
- Negative correlation between %WL and GMV change from baseline in left prefrontal regions.
Conclusions:
- Weight loss is associated with volumetric changes in specific brain regions.
- These brain areas are known to be involved in interoception and food motivation.
- Findings highlight the neural underpinnings of successful weight management in individuals with obesity.

