Prediction of methylphenidate treatment response for ADHD using conventional and radiomics T1 and DTI features: Secondary analysis of a randomized clinical trial

• Published in: NeuroImage clinical Vol. 45; p. 103707
• Main Authors: Chen, Mingshi, van der Pal, Zarah, Poirot, Maarten G., Schrantee, Anouk, Bottelier, Marco, Kooij, Sandra J.J., Marquering, Henk A., Reneman, Liesbeth, Caan, Matthan W.A.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.01.2025; Elsevier
• Subjects: ADHD; Adolescent; Adult; Attention Deficit Disorder with Hyperactivity - diagnostic imaging; Attention Deficit Disorder with Hyperactivity - drug therapy; Brain - diagnostic imaging; Brain - drug effects; Central Nervous System Stimulants - pharmacology; Central Nervous System Stimulants - therapeutic use; Child; Diffusion Tensor Imaging - methods; Female; Humans; Machine Learning; Magnetic Resonance Imaging - methods; Male; Methylphenidate; Methylphenidate - pharmacology; Methylphenidate - therapeutic use; MRI; Radiology; Radiomics; Regular; Treatment Outcome; Young Adult; ADHD; Treatment outcome; MRI; Methylphenidate; Machine learning; Radiomics

•We used conventional and radiomics MRI models to predict MPH treatment response.•Both conventional and radiomics models outperformed chance in predicting response during treatment.•Prediction accuracy dropped significantly post-treatment after one-week washout.•Baseline basal ganglia radiomics were...