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Altered effective connectivity between the prefrontal cortex and caudate in children with overweight and obesity
Haiyan Xin1,2, Ximei Chen3,4, Wei Li1,2
1Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.
Insights
Children with overweight and obesity show altered brain connectivity in reward and control systems. These neural patterns predict future eating behaviors, suggesting targeted interventions for childhood obesity.
Area of Science:
- Neuroscience
- Pediatric Obesity Research
- Brain Connectivity Studies
Background:
- Childhood obesity is a growing public health concern.
- Altered reward and inhibitory control systems are implicated in obesity.
- Understanding the neural basis of these systems is crucial for effective interventions.
Purpose of the Study:
- To investigate functional and effective connectivity differences between reward and inhibitory control systems in children with overweight/obesity (OW/OB) compared to normal weight (NW) children.
- To determine if baseline neural connectivity patterns can predict future eating behaviors.
- To elucidate the neural hierarchical basis of childhood obesity.
Main Methods:
- Resting-state fMRI data analyzed using seed-based functional connectivity (FC) and spectral dynamic causal modeling (DCM) for effective connectivity (EC).
- Comparison of FC and EC between 38 OW/OB children and 68 NW children.
- Machine learning applied to predict eating behaviors at one-year follow-up based on baseline connectivity.
Main Results:
- OW/OB group showed stronger FC between left superior frontal gyrus (SFG) and left caudate, and weaker FC between left SFG and right ventromedial prefrontal cortex (vmPFC).
- OW/OB group exhibited stronger negative EC (caudate→SFG), weaker negative EC (SFG→vmPFC), and weaker positive EC (vmPFC→SFG) compared to NW group.
- Baseline caudate→caudate and vmPFC→SFG connectivity significantly predicted changes in eating behaviors at one-year follow-up.
Conclusions:
- The study reveals distinct neural hierarchical patterns in the reward and inhibitory control systems associated with childhood obesity.
- Specific connectivity pathways (caudate→SFG, SFG→vmPFC, vmPFC→SFG) are identified as key neural correlates of obesity.
- Findings support the development of targeted interventions focusing on reward processing and inhibitory control for managing childhood obesity.
Objective:
This study aimed to examine the interaction patterns between the reward and inhibitory control systems in children with overweight and obesity.
Methods:
Resting-state fMRI data were collected at baseline from 38 children with overweight and obesity (OW/OB) and 68 children with normal weight (NW). We first examined the differences in seed-based functional connectivity (FC) between the two groups, focusing on eight predefined regions of interest in the reward and inhibitory control systems. Based on the FC results, we further applied the spectral dynamic causal modeling technique to assess the between-group differences in effective connectivity (EC). Finally, we employed a machine learning approach to determine whether these baseline core connections could predict eating behaviors at the one-year follow-up.
Results:
Compared with the NW group, the FC between the left superior frontal gyrus (SFG) and left caudate was stronger while the FC between left SFG and right ventromedial prefrontal cortex (vmPFC) was weaker in the OW/OB group after controlling for age, sex, and head motion. After Bayesian contrasts, the OW/OB group exhibited stronger negative EC from the left caudate to left SFG, weaker negative EC from the left SFG to right vmPFC, and weaker positive EC from the right vmPFC to left SFG than NW group. The results indicated that the baseline caudate→caudate and vmPFC→SFG connectivity could predict changes in children's eating behaviors one year later.
Conclusion:
The current study provides novel evidence for the neural hierarchical basis of childhood obesity (especially the caudate→SFG, SFG→vmPFC and vmPFC→SFG connectivity), suggesting that interventions targeting reward processing and inhibition control may have important implications for childhood obesity.
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