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

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

Background: Attention-Deficit/Hyperactivity Disorder (ADHD) is commonly treated with methylphenidate (MPH). Although highly effective, MPH treatment still has a relatively high non-response rate of around 30%, highlighting the need for a better understanding of treatment response. Radiomics of T1-we...

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Bibliographic Details
Main Authors: Mingshi Chen, Zarah van der Pal, Maarten G. Poirot, Anouk Schrantee, Marco Bottelier, Sandra J.J. Kooij, Henk A. Marquering, Liesbeth Reneman, Matthan W.A. Caan
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:NeuroImage: Clinical
Subjects:
ADHD
MRI
Radiomics
Treatment outcome
Methylphenidate
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158224001487
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