Back to Search Start Over

EEG-arousal regulation as predictor of treatment response in patients suffering from obsessive compulsive disorder.

Authors :
Dohrmann AL
Stengler K
Jahn I
Olbrich S
Source :
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2017 Oct; Vol. 128 (10), pp. 1906-1914. Date of Electronic Publication: 2017 Jul 31.
Publication Year :
2017

Abstract

Objectives: Aim of this study was to analyze whether electroencephalogram (EEG)-based CNS-arousal markers differ for patients suffering from obsessive compulsive disorder (OCD) that either respond or do not respond to cognitive behavioral therapy (CBT), selective serotonin reuptake inhibitors (SSRIs) or their combination. Further the study aimed to identify specific response-predictors for the different therapy approaches.<br />Methods: CNS-arousal from 51 unmedicated patients during fifteen-minute resting state was assessed using VIGALL (Vigilance Algorithm Leipzig). Clinical Global Impression (CGI) scores were used to assess response or non-response after three to six months following therapy (CBT, n=18; SSRI, n=11 or combination, n=22). Differences between Responders (R) and Non-Responders (NR) were identified using multivariate analysis of covariance (MANCOVA) models.<br />Results: MANCOVA revealed that Responders spent significant less time at the highest CNS-arousal stage 0. Further, low amounts of the highest CNS-arousal stages were specifically predictive for a response to a combined treatment approach.<br />Conclusions: The fact that CNS-arousal markers allowed discrimination between Responders and Non-Responders and also between Responders of different treatment arms underlines a possible clinical value of EEG-based markers.<br />Significance: These results encourage further research on EEG-arousal regulation for determining pathophysiological subgroups for treatment response.<br /> (Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-8952
Volume :
128
Issue :
10
Database :
MEDLINE
Journal :
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Publication Type :
Academic Journal
Accession number :
28826021
Full Text :
https://doi.org/10.1016/j.clinph.2017.07.406