Dynamic functional network connectivity alterations in obesity
Authors' conclusion
Obesity is characterised by state-dependent reorganisation of large-scale brain networks and diminished temporal flexibility. These dynamic connectivity alterations are closely related to eating behaviour and metabolic characteristics, suggesting that dFNC provides a valuable neuroimaging framework for understanding impaired self-regulation in obesity and for guiding future intervention studies.
Study context
- Population
- Individuals with obesity and normal-weight controls undergoing resting-state functional MRI
- Participants
- 83 vs 40
- Exposure
- Obesity vs normal-weight controls
- Obesityn = 83
- Controlsn = 40reference
- Outcome
- Dynamic functional network connectivity (fraction time, dwell time, transitions)
Methodological detailsresting-state functional MRI, dynamic functional network connectivity analysis, sliding-window approach
- Resting-state functional MRI
- Dynamic functional network connectivity analysis
- Sliding-window approach
Main finding
As reported in the abstract
- Three recurring connectivity states identified
- 3
Observational data: associations, not effects.
Further findings
Correlations with eating behaviour
- Uncontrolled eating correlated positively with time spent in maladaptive states
- Cognitive restraint negatively associated with participation in integrative states
Original publication
Dynamic functional network connectivity alterations in obesity. Diabetes Obes Metab. Published 14 January 2026. doi:10.
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