ArticleEpilepsy research2021
The accuracy of quantitative EEG biomarker algorithms depends upon seizure onset dynamics.
Article in Epilepsy research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The use of quantitative electroencephalography in evaluating epilepsy treatment.Acta epileptologica · 2026Review
- 50 Hz Cortical stimulation increases interictal epileptiform discharges at the seizure onset zone.Brain communications · 2026Article
- Ictal phase-amplitude coupling as a biomarker for seizure onset zone in neocortical epilepsy.Frontiers in neurology · 2025Article
- Stimulation to probe, excite, and inhibit the epileptic brain.Epilepsia · 2023Article
- Engineering nonlinear epileptic biomarkers using deep learning and Benford's law.Scientific reports · 2022Article
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2 authors.
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Abstract
objectiveTo compare the performance of different ictal quantitative biomarkers of the seizure onset zone (SOZ) across many seizures in a cohort of consecutive patients with a variety of seizure onset patterns.
methodsThe Epileptogenicity Index (EI, a measure of fast activity) and Slow Polarizing Shift index (SPS, a measure of infraslow activity) were calculated for 212 seizures (22 patients). After stratification by onset pattern, median index values inside and outside the SOZ were compared in aggregate and for each of the onset patterns. Receiver Operating Characteristic (ROC) curves were constructed to compare the performance of each index.
resultsMedian values of EI (0.056 vs 0.0087), SPS (0.27 vs 0.19), and CI (0.21 vs 0.12) were significantly higher for contacts inside the SOZ, all p < 0.0001. Analysis of AUC showed variable performance of these indices across seizure types, although AUC for EI and SPS was generally greatest for seizures with fast activity at onset.
conclusionsAll indices were significantly higher for contacts inside the SOZ; however, the performance of these indices varied depending on the pattern of seizure onset. SIGNIFICANCE: These findings suggest that future studies of quantitative biomarkers of the SOZ should account for seizure onset pattern.
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