Krit Charupanit

This paper shows that time-varying dynamics of high frequency oscillations (HFOs) are better predictors of the seizure onset zone than HFO rate alone.

This study compares HFO amplitude and rate as biomarkers for seizure onset zone localization using iEEG data from 11 patients, finding amplitude provides better classification accuracy and consistency.

The paper develops an algorithm to detect high-frequency events in intracranial EEG without relying on amplitude or morphology assumptions, finding it identifies more events in non-seizure zones and shows amplitude differences between seizure and non-seizure zones.