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Dynamic functional network connectivity alterations in obesity.
Zhaoyi Chen1,2, Jinkun Wang1,2,3, Zhijuan Li1,2
1Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Diabetes, Obesity & Metabolism
|January 14, 2026
Summary
Individuals with obesity exhibit altered brain network dynamics, showing reduced flexibility and altered connectivity patterns linked to eating behaviors. Dynamic functional network connectivity (dFNC) analysis reveals these changes.
Area of Science:
- Neuroscience
- Metabolic Disorders
- Brain Imaging
Background:
- Obesity is linked to metabolic and neural dysfunction.
- The temporal dynamics of brain connectivity in obesity are not well understood.
Purpose of the Study:
- To investigate time-varying brain network patterns in obesity using dynamic functional network connectivity (dFNC).
- To explore the relationship between altered brain connectivity and eating behaviors.
Main Methods:
- Resting-state functional magnetic resonance imaging (fMRI) was performed on individuals with obesity and normal-weight controls.
- Dynamic functional network connectivity (dFNC) analysis with a sliding-window approach was used to identify distinct connectivity states.
- Temporal metrics of network flexibility were compared between groups and correlated with clinical characteristics.
Main Results:
- Three distinct connectivity states were identified.
- Individuals with obesity displayed increased coupling in default mode, attention, and visual networks, alongside reduced network flexibility (longer dwell times, fewer transitions).
- Uncontrolled eating correlated with time in maladaptive states, while cognitive restraint correlated with integrative states.
Conclusions:
- Obesity is characterized by reorganized large-scale brain networks and decreased temporal flexibility.
- Dynamic connectivity alterations in obesity are associated with eating behaviors and metabolic factors.
- dFNC offers a neuroimaging framework for understanding impaired self-regulation in obesity and developing interventions.
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