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Predicting success of vagus nerve stimulation (VNS) from interictal EEG.
MedLine Citation:
PMID:  21514181     Owner:  NLM     Status:  Publisher    
PURPOSE: Vagus nerve stimulation (VNS) has shown to be an effective treatment for drug resistant epilepsy in numerous patients, however, not in all. It is still not possible to predict which patients will profit from VNS. In this pilot study, we explore predictive interictal EEG features for seizure reduction after VNS. METHODS: 19 Patients with medically refractory epilepsy and an implanted VNS system were included. Interictal EEG registrations, recorded before implantation, were retrospectively analysed. A quantative symmetry measure, the pair wise derived brain symmetry index (pdBSI), was tested to predict VNS outcome. Reduction in seizure frequency was used to define the responders. RESULTS: 10 Patients did respond to VNS, of whom 7 patients had a seizure reduction of at least 50% in a follow-up period of 2 years. On average, we find higher pdBSI values for delta, theta, alpha and beta bands for non-responders than for responders. The average pdBSI of the theta and alpha bands could significantly discriminate between responders and non-responders. CONCLUSION: In this study, quantifying EEG symmetry using the pdBSI shows promising results in predicting the reduction of seizure frequency after VNS treatment.
C C de Vos; L Melching; J van Schoonhoven; J J Ardesch; A W de Weerd; H C E van Lambalgen; M J A M van Putten
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-4-20
Journal Detail:
Title:  Seizure : the journal of the British Epilepsy Association     Volume:  -     ISSN:  1532-2688     ISO Abbreviation:  -     Publication Date:  2011 Apr 
Date Detail:
Created Date:  2011-4-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9306979     Medline TA:  Seizure     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.
MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, The Netherlands; Department of Clinical Neurophysiology, Medisch Spectrum Twente, The Netherlands.
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