Predicting Methylphenidate Response in ADHD Using Machine Learning Approaches.

ABSTRACT:

Background

There are no objective, biological markers that can robustly predict methylphenidate response in attention deficit hyperactivity disorder. This study aimed to examine whether applying machine learning approaches to pretreatment demographic, clinical questionnaire, environmental, neuropsychological, neuroimaging, and genetic information can predict therapeutic response following methylphenidate administration.

Methods

The present study included 83 attention deficit hyperactivity disorder youth. At baseline, parents completed the ADHD Rating Scale-IV and Disruptive Behavior Disorder rating scale, and participants undertook the continuous performance test, Stroop color word test, and resting-state functional MRI scans. The dopamine transporter gene, dopamine D4 recep

SUBMITTER: Kim JW 

PROVIDER: S-EPMC4756719 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature