Structural Cerebellar and Lateral Frontoparietal Networks are altered in CUD: An SBM Analysis

Area of Science:

• Neuroscience
• Neuroimaging
• Addiction Research

Background:

• Repetitive drug use causes lasting brain changes, impacting networks for reward, habit, and self-regulation.
• Voxel-based Morphometry and Source-based Morphometry (SBM) reveal structural grey matter differences in addiction.

Purpose of the Study:

• To investigate structural covariance patterns in cocaine addiction using SBM.
• To identify specific brain networks altered in individuals with Cocaine Use Disorder (CUD).

Main Methods:

• Employed Source-based Morphometry (SBM) with Independent Component Analysis.
• Analyzed structural grey matter variations in 40 individuals with CUD and 40 healthy controls.
• Adjusted for age-related effects.

Main Results:

• Observed significant group differences in two structural networks: the cerebellar network and the lateral frontoparietal network.
• Individuals with CUD showed heightened contribution to the cerebellar network.
• Individuals with CUD demonstrated reduced contribution to the lateral frontoparietal network compared to controls.

Conclusions:

• Cocaine addiction is associated with distinct neuroregulation covariance patterns.
• Findings suggest disrupted structural development in the lateral frontoparietal network and extended neuroregulation in the cerebellar network in CUD.