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Characterizing the relationship between functional network dynamics and the body mass index.
Xiaoyang Xin1,2, Jing Wang1, Binghong Chen1
1School of Psychology, Shaanxi Normal University, Xi'an, Shaanxi, China.
Frontiers in Nutrition
|April 30, 2026
Summary
Higher body mass index (BMI) is associated with altered brain functional network dynamics, particularly within the visual network (VN). These findings highlight the link between obesity and brain connectivity patterns.
Area of Science:
- Neuroscience
- Brain Imaging
- Network Science
Background:
- Obesity is increasingly linked to changes in brain functional network organization.
- Static functional connectivity studies show associations with body mass index (BMI), but dynamic properties remain understudied.
Purpose of the Study:
- To investigate the relationship between BMI and the dynamics of brain functional network connectivity.
- To explore how BMI relates to the temporal variability of brain network topology.
Main Methods:
- Resting-state fMRI data from 776 healthy adults were analyzed.
- Independent component analysis (ICA) and a sliding-window approach were used to derive dynamic functional connectivity (FC) metrics.
- Four whole-brain FC states were identified, and temporal variability of topological properties was calculated.
Main Results:
- BMI positively correlated with the duration of a specific FC state characterized by strong visual network (VN) connectivity.
- Higher BMI was associated with reduced temporal variability in nodal and local efficiency within the VN.
- Modest, statistically significant associations were found between BMI and whole-brain functional network dynamics.
Conclusions:
- BMI is associated with dynamic changes in brain functional network organization.
- VN-dominant connectivity patterns may be linked to higher BMI.
- This study provides insights into the neural correlates of obesity beyond static connectivity.
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