Altered Brain Network Topology during Successful Response Inhibition in Children with Binge Eating
Biorxiv : the Preprint Server for Biology
|December 22, 2025
Summary
Children with binge eating (BE) show altered brain network function, specifically increased efficiency in frontal and parietal regions. These neural differences may indicate a vulnerability to overeating and explain sex disparities in BE prevalence.
Area of Science:
- Neuroscience
- Developmental Psychology
- Psychiatry
Background:
- Binge eating (BE) is a risk factor for eating disorders, yet its neural basis in children is understudied.
- Preliminary research implicates the corticostriatal system in BE.
- Understanding the neural underpinnings of childhood BE is crucial for early intervention.
Purpose of the Study:
- To investigate the role of the inhibitory control brain network in children at risk for binge eating (BE).
- To identify neural differences associated with BE in a pediatric cohort.
Main Methods:
- Utilized fMRI data from the Adolescent Brain Cognitive Development (ABCD) Study, including 65 children with BE and 84 controls.
- Applied graph theory analysis to Stop Signal Task fMRI data to assess network properties.
- Compared global and nodal network metrics, examining sex-by-group interactions.
Main Results:
- Children with BE exhibited increased nodal efficiency in the right postcentral gyrus and left middle frontal gyrus (MFG), and greater connectedness in the right postcentral gyrus compared to controls.
- Distinct network hubs were observed: right MFG and left insula in children with BE, versus right orbitofrontal and left fusiform gyri in controls.
- Significant sex differences in the functioning of insular and frontal cortices were identified between groups.
Conclusions:
- Enhanced efficiency and connectedness in the inhibitory control network's frontal and parietal regions in children with BE may signify a vulnerability to overeating.
- Observed sex differences in brain network function suggest distinct vulnerabilities to BE in boys and girls, potentially explaining prevalence disparities.


