Koch K, Manrique DR, Rus-Oswald OG, et al. - This study was undertaken to explore grey matter volume within structural covariance networks in a sample of 228 participants (n=117 obsessive-compulsive disorder [OCD] patients, n=111 healthy controls). Researchers conducted an independent component analysis on all individuals preprocessed T1 images to derive covariance-dependent morphometric networks. Logistic regressions and receiver operating characteristic analyses were conducted to evaluate if network-related grey matter volume could serve as a characteristic that allows to differentiate patients from healthy volunteers. They evaluated grey matter pattern organization by correlating grey matter volume in all networks across all participants. The results imply that the pathological mechanisms of OCD decrease interindividual grey matter variability. They assume that common characteristics correlated with the disorder may lead to a more uniform, disorder-specific morphometry.