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Inferring Seizure Frequency From Brief EEG Recordings

Authors :
Keith H. Chiappa
Daniel B. Hoch
Sydney S. Cash
Mouhsin M. Shafi
M. Brandon Westover
Matt T. Bianchi
Andrew J. Cole
Source :
Journal of Clinical Neurophysiology. 30:174-177
Publication Year :
2013
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2013.

Abstract

Routine EEGs remain a cornerstone test in caring for people with epilepsy. Although rare, a self-limited seizure (clinical or electrographic only) may be observed during such brief EEGs. The implications of observing a seizure in this situation, especially with respect to inferring the underlying seizure frequency, are unclear. The issue is complicated by the inaccuracy of patient-reported estimations of seizure frequency. The treating clinician is often left to wonder whether the single seizure indicates very frequent seizures, or if it is of lesser significance. We applied standard concepts of probabilistic inference to a simple model of seizure incidence to provide some guidance for clinicians facing this situation. Our analysis establishes upper and lower bounds on the seizure rate implied by observing a single seizure during routine EEG. Not surprisingly, with additional information regarding the expected seizure rate, these bounds can be further constrained. This framework should aid the clinician in applying a more principled approach toward decision making in the setting of a single seizure on a routine EEG.

Details

ISSN :
07360258
Volume :
30
Database :
OpenAIRE
Journal :
Journal of Clinical Neurophysiology
Accession number :
edsair.doi.dedup.....252765eddf0761eabd7607daa728196a