Perigenual anterior cingulate cortex and its structural covariance as predictors for future body fat gain in young adults
Authors' conclusion
Using VBM and structural covariance network analysis, the current study revealed that higher GM volume of pgACC and its increased structural covariances with specific brain regions were associated with future weight gain, which may guide the development of more effective prevention and treatment interventions for obesity.
Study context
- Population
- Young adults; baseline gray matter (GM) volume and body fat gain over 1 to 2 years
- Participants
- 502 adults
- Exposure
- Higher vs lower future body fat gain
- Outcome
- Association of baseline GM volume and structural covariance with body fat gain
- Follow-up
- 1 to 2 years
Methodological detailsvoxel-based morphometry, structural covariance network analysis
- Voxel-based morphometry
- Structural covariance network analysis
Main finding
As reported in the abstract
- Significant positive association between baseline GM volume in the perigenual anterior cingulate cortex (pgACC) and body fat gain
- pgACC covaried more extensively with middle frontal gyrus, middle temporal gyrus, inferior temporal gyrus and cerebellum with higher vs lower future body fat gain
Observational data: associations, not effects.
Original publication
Perigenual anterior cingulate cortex and its structural covariance as predictors for future body fat gain in young adults. Obesity (Silver Spring). Published 8 January 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →