Journal
EPILEPSY & BEHAVIOR
Volume 14, Issue -, Pages 39-46Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.yebeh.2008.09.008
Keywords
Focal epilepsy; Neocortex; Seizure onset detection; Seizure localization
Categories
Funding
- Wolfson Foundation
- MRC
- MRC [G0701048] Funding Source: UKRI
- Medical Research Council [G0701048] Funding Source: researchfish
- NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS044133] Funding Source: NIH RePORTER
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Many types of electrographic seizures are readily identifiable by direct visual examination of electroencephalographic or electrocorticographic recordings. This process can, however, be painstakingly slow, and much effort has been expended to automate the process using various dynamic properties of epileptiform waveforms. As methods have become more subtle and powerful they have been used for seizure Subclassification, seizure prediction, and seizure onset identification and localization. Here we concentrate on the last, with reference to seizures of neocortical origin. We briefly review some of the methods used and introduce preliminary results from a very simple dynamic model based on key electrophysiological properties found in some seizure types: Occurrence of very fast oscillations (sometimes called ripples), excess gamma frequency oscillations. electroencephalographic/electrocorticographic flattening, and changes in global synchrony. We show how this multiscale analysis may reveal features unique to seizure onset and speculate on the underlying cellular and network phenomena responsible. (C) 2008 Elsevier Inc. All rights reserved.
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