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Addiction research has consistently revealed significant modifications in key brain networks related to reward, habit, salience, executive function, memory and self\u2010regulation. Techniques like Voxel\u2010based Morphometry have highlighted large\u2010scale structural differences in grey matter across distinct groups. Source\u2010based Morphometry (SBM) takes this a step further by incorporating the Independent Component Analysis to detect shared patterns of grey matter variation, all without requiring prior selection of regions of interest. However, SBM has yet to be employed in the study of structural alteration patterns related to cocaine addiction. Therefore, we performed this analysis to explore alterations in structural covariance specific to cocaine addiction. Our study involved 40 individuals diagnosed with Cocaine Use Disorder (CUD) and 40 matched healthy controls. 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