Alterations in the functional MRI ‐based temporal brain organisation in individuals with obesity
Authors' conclusion
These findings provide insight into the temporal organisation of neural activity in obesity, highlighting the role of specific brain networks in shaping behavioural outcomes.
Study context
- Population
- Individuals across different degrees of obesity, enhanced Nathan Kline Institute Rockland Sample database (resting-state functional and diffusion MRI)
- Outcome
- Relationship between intrinsic neural timescale (INT) and obesity phenotypes
Methodological detailssupervised machine learning, controlling for age and sex
- Supervised machine learning
- Controlling for age and sex
Main finding
As reported in the abstract
INT vs obesity phenotypes
- Significant negative correlation, particularly in the default mode, limbic and reward networks
Observational data: associations, not effects.
Further findings
Participation coefficients (network integration)
- Negative association with participation coefficients; shorter intrinsic neural timescale (INT) in higher-order association areas related to reduced network integration
Prediction of eating behaviour traits
- INT values of identified regions moderately predicted eating behaviours
Original publication
Alterations in the functional MRI ‐based temporal brain organisation in individuals with obesity. Diabetes Obes Metab. Published 25 June 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →