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Official websites use. Share sensitive information only on official, secure websites. White matter pathways, typically studied with diffusion tensor imaging DTI , have been implicated in the neurobiology of obsessive-compulsive disorder OCD.
However, due to limited sample sizes and the predominance of single-site studies, the generalizability of OCD classification based on diffusion white matter estimates remains unclear. We used an automatic machine learning pipeline with feature engineering and selection, and model optimization and examined the cross-site generalizability of the OCD classification models using leave-one-site-out cross-validation. Machine learning interpretation showed that diffusivity measures of the corpus callosum, internal capsule, and posterior thalamic radiation contributed to the classification of OCD from HC.
The classification performance appeared greater than the model trained on grey matter morphometry in the prior ENIGMA OCD study our study includes subsamples from the morphometry study. Taken together, this study points to the meaningful multivariate patterns of white matter features relevant to the neurobiology of OCD, but with low-to-moderate classification accuracy. The OCD classification performance may be constrained by site variability and medication effects on the white matter integrity, indicating room for improvement for future research.
Obsessive-compulsive disorder OCD is a common, often chronic psychiatric disorder, affecting 1. Extensive neuroimaging research suggests structural and functional abnormalities in cortico-striato-thalamo-cortical CSTC circuits in OCD [ 2 — 7 ].
