Abstract
19th biennial IPEG Meeting
Highlights
Introduction andEEG biomarkers for predicting treatment outcome Martijn Arns1,2,3 1neuroCare group, Munich, Germany; 2Research Institute Brainclinics, Nijmegen, The Netherlands; 3Department of Experimental Psychology, Utrecht University, Utrecht, The Netherlands Neuropsychiatric Electrophysiology 2016, 2(Suppl 1):A7At present stimulant medication, antidepressants and behavior therapy are the most often applied and accepted treatments for attention-deficit/hyperactivity disorder (ADHD) and Depression
This will aide in the identification of interventions that show evidence of mechanism and target engagement and will increase our understanding of how efficacious interventions achieve their effect within clinical populations In this presentation, important considerations in the process of identifying and refining potential brain oscillatory targets that may be useful for treatment monitoring and response will be presented
To understand the discriminating features, we currently explore methods for interpretation and visualization of networks
Summary
Relevance and Implications for future research The data presented suggest that EEG-based biomarkers may be useful indices of developmental course of disorder, behavioral and cognitive functioning, and prediction of treatment response. Based on our previous findings, we tested functional connectivity between EEG sources in BA 24 and rest of the brain in the group of OCD patients and in heathy controls. Methods In this open-label study, 22 OCD patients received at least 10 sessions of rTMS treatment targeted at the supplementary motor area combined with psychotherapy They were compared to a matched control group of healthy subjects to examine sleep disturbance. Sucrose-induced change in alpha asymmetry was analysed using ANOVA, with conditions (sucrose, placebo), hemisphere (left, right) and regions (frontal, central and posterior) as the within-subjects factors
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