White Matter Diffusion Estimates In Obsessive-compulsive Disorder Across 1653 Individuals: Machine Learning Findings From The Enigma Ocd Working Group

This study used machine learning algorithms and diffusion tensor imaging to classify individuals with OCD and healthy controls. Results showed that these measures were able to accurately distinguish between the two groups, and a post-processing harmonization tool was also used to improve the reproducibility of the predictive models. Additionally, a machine learning interpretation framework was used to identify the most relevant features for classification.