Metrics for evaluation of automatic epileptogenic zone localization in intracranial electrophysiology.

Introduction: Precise localization of the epileptogenic zone is critical for successful epilepsy surgery. However, imbalanced datasets in terms of epileptic vs. normal electrode contacts and a lack of standardized evaluation guidelines hinder the consistent evaluation of automatic machine learning localization models.

Multicentre analysis of seizure outcome predicted by removal of high frequency oscillations.

In drug-resistant focal epilepsy, planning surgical resection may involve presurgical intracranial EEG recordings (iEEG) to detect seizures and other iEEG patterns to improve postsurgical seizure outcome. We hypothesized that resection of tissue generating interictal high frequency oscillations (HFOs, 80-500 Hz) in the iEEG predicts surgical outcome. Eight international epilepsy centres recorded iEEG during the patients' pre-surgical evaluation.

Quantifying epileptic networks: every data point brings us a step closer to an optimized surgery.

This scientific commentary refers to 'The sixth sense: how much does interictal intracranial EEG add to determining the focality of epileptic networks?', by Gallagher . (https://doi.org/10.

Sleep-related hypermotor seizures originating from the occipital lobe.

We present two unique cases of sleep-related hypermotor epilepsy (SHE) originating from the occipital lobe. Patients with sleep-related seizures and drug-resistant occipital lobe epilepsy were identified from the ANPHY lab stereo-electroencephalography (SEEG) research database at the Duke Comprehensive Epilepsy Center. We identified two young females with frequent sleep-related focal seizures and occasional focal to bilateral tonic clonic seizures characterized by hypermotor movements.