Objective. An ability to map seizure-generating brain tissue, ie the seizure onset zone (SOZ),
without recording actual seizures could reduce the duration of invasive EEG monitoring for …

Recent trials of chronic EEG in humans showed that epilepsy is a cyclical disorder of the
brain with rhythms at multiple time-scales: circadian, multi-day (multidien) or even seasonal …

This paper proposes an artificial intelligence system that continuously improves over time at
event prediction using initially unlabelled data by using self-supervised learning. Time …

Background Cannabidiol has been shown to be effective in seizure reduction in patients
with Dravet syndrome, Lennox–Gastaut syndrome, and tuberous sclerosis. However, very …

Objective Ultra long‐term subcutaneous electroencephalography (sqEEG) monitoring is a
new modality with great potential for both health and disease, including epileptic seizure …

The complexity of localising the epileptogenic zone (EZ) contributes to surgical resection
failures in achieving seizure freedom. The distinct patterns of epileptiform activity during …

Precise localization of epileptic foci is an unavoidable prerequisite in epilepsy surgery.
Simultaneous EEG-fMRI recording has recently created new horizons to locate foci in …

Objective: The aim of this study is to develop an efficient and reliable epileptic seizure
prediction system using intracranial EEG (iEEG) data, especially for people with drug …

Objective Deep learning provides an appealing solution for the ongoing challenge of
automatically classifying intracranial interictal epileptiform discharges (IEDs). We report …

Purpose of review Two large-scale controlled clinical trials have provided Class I evidence
for the benefit of deep brain stimulation (DBS) as a therapy for refractory epilepsy. However …