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Anticipating the unobserved: Prediction of subclinical seizures.
MedLine Citation:
PMID:  22078512     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Subclinical seizures (SCS) have rarely been considered in the diagnosis and therapy of epilepsy and have not been systematically analyzed in studies on seizure prediction. Here, we investigate whether predictions of subclinical seizures are feasible and how their occurrence may affect the performance of prediction algorithms. Using the European database of long-term recordings of surface and invasive electroencephalography data, we analyzed the data from 21 patients with SCS, including in total 413 clinically manifest seizures (CS) and 3341 SCS. Based on the mean phase coherence we investigated the predictive performance of CS and SCS. The two types of seizures had similar prediction sensitivities. Significant performance was found considerably more often for SCS than for CS, especially for patients with invasive recordings. When analyzing false alarms triggered by predicting CS, a significant number of these false predictions were followed by SCS for 9 of 21 patients. Although currently observed prediction performance may not be deemed sufficient for clinical applications for the majority of the patients, it can be concluded that the prediction of SCS is feasible on a similar level as for CS and allows a prediction of more of the seizures impairing patients, possibly also reducing the number of false alarms that were in fact correct predictions of CS. This article is part of a Supplemental Special Issue entitled The Future of Automated Seizure Detection and Prediction.
Authors:
Hinnerk Feldwisch-Drentrup; Matthias Ihle; Michel Le Van Quyen; Cesar Teixeira; Antonio Dourado; Jens Timmer; Francisco Sales; Vincent Navarro; Andreas Schulze-Bonhage; Björn Schelter
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Epilepsy & behavior : E&B     Volume:  22 Suppl 1     ISSN:  1525-5069     ISO Abbreviation:  Epilepsy Behav     Publication Date:  2011 Dec 
Date Detail:
Created Date:  2011-11-14     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100892858     Medline TA:  Epilepsy Behav     Country:  United States    
Other Details:
Languages:  eng     Pagination:  S119-26     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Elsevier Inc. All rights reserved.
Affiliation:
Bernstein Center Freiburg, University of Freiburg, Freiburg, Germany; Freiburg Center for Data Analysis and Modeling, University of Freiburg, Freiburg, Germany; Epilepsy Center, University Hospital of Freiburg, Freiburg, Germany; Department of Neurobiology and Biophysics, Faculty of Biology, University of Freiburg, Freiburg, Germany; Physics Department, University of Freiburg, Freiburg, Germany.
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