Correlation between brain circuit segregation and obesity.

Area of Science:

• Neuroimaging
• Public Health
• Brain Circuitry

Background:

• Obesity presents a significant global health challenge.
• Understanding the neurobiological underpinnings of obesity is crucial for developing effective interventions.

Purpose of the Study:

• To investigate the correlation between brain circuit segregation and obesity.
• To identify potential neuroimaging markers associated with obesity.

Main Methods:

• Utilized multimodal functional magnetic resonance imaging (fMRI) techniques, including resting-state fMRI (rs-fMRI), T1-weighted imaging, functional connectivity (FC), amplitude of low-frequency fluctuations (ALFF), regional homogeneity (ReHo), graph theoretical analysis (GTA), and voxel-based morphometry (VBM).
• Compared 20 obese patients with 30 healthy controls.
• Assessed anxiety and depression symptoms using the Hospital Anxiety and Depression Scale (HADS).

Main Results:

• Obese patients exhibited altered gray matter volumes in the amygdala, thalamus, and putamen.
• Observed increased functional connectivity in the anterior cingulate cortex and decreased connectivity in the frontal gyrus (default mode network).
• Detected altered ALFF and ReHo in the prefrontal cortex and precuneus, alongside decreased local segregation and increased global integration in functional networks.

Conclusions:

• Findings suggest significant structural and functional brain alterations associated with obesity.
• These neuroimaging findings may serve as potential biomarkers for clinical diagnosis and future research.
• The study enhances understanding of the pathophysiology of obesity.