Article ID Journal Published Year Pages File Type
5627231 Clinical Neurophysiology 2017 9 Pages PDF
Abstract

•Computer algorithms can detect temporal lobe seizures on scalp EEG before an ictal pattern arises.•Lateralization of seizures is also possible on scalp EEG before a visible ictal pattern arises.•Analysis of the pre-ictal scalp EEG can add valuable information to guide presurgical evaluation.

ObjectiveIn mesial temporal lobe (mTL) epilepsy, seizure onset can precede the appearance of a scalp EEG ictal pattern by many seconds. The ability to identify this early, occult mTL seizure activity could improve lateralization and localization of mTL seizures on scalp EEG.MethodsUsing scalp EEG spectral features and machine learning approaches on a dataset of combined scalp EEG and foramen ovale electrode recordings in patients with mTL epilepsy, we developed an algorithm, SCOPE-mTL, to detect and lateralize early, occult mTL seizure activity, prior to the appearance of a scalp EEG ictal pattern.ResultsUsing SCOPE-mTL, 73% of seizures with occult mTL onset were identified as such, and no seizures that lacked an occult mTL onset were identified as having one. Predicted mTL seizure onset times were highly correlated with actual mTL seizure onset times (r = 0.69). 50% of seizures with early mTL onset were lateralizable prior to scalp ictal onset, with 94% accuracy.ConclusionsSCOPE-mTL can identify and lateralize mTL seizures prior to scalp EEG ictal onset, with high sensitivity, specificity, and accuracy.SignificanceQuantitative analysis of scalp EEG can provide important information about mTL seizures, even in the absence of a visible scalp EEG ictal correlate.

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