Investigation of quantitative synthetic MRI in the evaluation of attention-deficit/hyperactivity disorder

This study used synthetic MRI to measure brain tissue properties (T1/T2 relaxometry and myelin volume) in 50 ADHD patients and 50 healthy controls, applying machine learning to identify diagnostic biomarkers. Combined quantitative features achieved 78% accuracy in distinguishing ADHD cases, outperforming single-feature models across multiple classifiers.