Geir Ogrim
Østfold Hospital Trust, Norway
Title: Applying data from quantitative EEG (QEEG) and Event Related Potentials (ERPs) to predict the clinical outcome of stimulant medication in pediatric ADHD
Biography
Biography: Geir Ogrim
Abstract
Millions of children and adolescents worldwide are diagnosed with ADHD and treated with stimulants. About 25% are non-responders (non-REs), and acute side effects are reported in about 30%. In search for EEG based predictors of response we applied WinEEG test procedure (www.mitsar-medical.com) making EEG registrations of 3 minutes eyes closed, 3 minutes eyes opened and a 20 minutes task condition – a cued visual go/no-go task for computing ERPs. In one study 98 ADHD patients completed a 4 weeks medication trial, and were classified as REs or non-REs based on interviews and rating scales from parents and teachers. The study reports QEEG/ERP data that predict clinical response. In another study, a similar procedure was applied to predict acute side effects. In a third study, 87 patients completed a second test on a single dose of stimulants before onset of the 4 weeks trial. The predictive power of single dose changes in ADHD related ERPs and behavioral test variables were studied. Changes in ERP component P3no-go predicted the outcome of the 4 weeks trial with a large effect size (d=1.76). A study combining all data to compute a global prediction index is in progress.