Journal
JOURNAL OF CLINICAL NEUROPHYSIOLOGY
Volume 26, Issue 2, Pages 109-116Publisher
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/WNP.0b013e31819b3bf2
Keywords
Epilepsy; PCA; LORETA; Source localization
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Funding
- Leslie and Susan Gonda
- Foundation, Los Angeles, California
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Localizing the source of ail epileptic seizure using noninvasive EEG suffers from inaccuracies produced by other generators not related to the epileptic source. The authors isolated file ictal epileptic activity, and applied a Source localization algorithm to identify its estimated location. Ten ictal EEG scalp recordings from five different patients were analyzed. The patients were known to have temporal lobe epilepsy with a single epileptic focus that had a concordant MRI lesion. The patients had become seizure-free following partial temporal lobectomy. A midinterval (similar to 5 seconds) period of ictal activity was used for Principal Component Analysis starting at ictal onset. The level of epileptic activity at each electrode (i.e., the eigenvector of the component that manifest epileptic characteristic), was used its an input for low-resolution tomography analysis for EEG inverse solution (Zilberstain et al., 2004). The algorithm accurately and robustly identified the epileptic focus in these patients. Principal component analysis and source localization methods can be used in the future to monitor the progression of an epileptic seizure and its expansion to other areas.
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