Identifying texture features from structural magnetic resonance imaging scans associated with Tourette’s syndrome using machine learning

Abstract

Our findings suggest that texture features derived from sMRI scans can aid in the diagnosis of TS by highlighting critical brain regions involved in the disorder. The proposed method holds promise for improving diagnostic accuracy and understanding the neuroanatomical underpinnings of TS.