Epilepsy is recognised as a dynamic disease, where both seizure susceptibility and seizure
characteristics themselves change over time. Specifically, we recently quantified the variable …

Objective In our canine scent detection research involving a specific volatile organic
compound (VOC) associated with human epileptic seizure, we began to suspect …

Nearly 20 million people with epilepsy suffer from seizures that are poorly controlled by
medication. 1 For many of these individuals, seizures originate from 1 or more focal areas …

Seizure prediction: Time for new, multimodal and ultra-long-term approaches Seizure
prediction: Time for new, multimodal and ultra-long-term approaches Clin Neurophysiol …

Objective Seizure forecasting algorithms have become increasingly accurate and may
reduce the morbidity and mortality caused by seizure unpredictability. Translating these …

Epilepsy is a common neurological disease impacting both patients and healthcare systems.
Approximately one third of patients have drug-resistant epilepsy (DRE) and are candidates …

Objective Over recent years, there has been a growing interest in exploring the utility of
seizure risk forecasting, particularly how it could improve quality of life for people living with …

Forecasting the state of a system from an observed time series is the subject of research in
many domains, such as computational neuroscience. Here, the prediction of epileptic …

Clinical studies of rescue medications for seizure clusters are limited and are designed to
satisfy regulatory requirements, which may not fully consider the needs of the diverse patient …

Seizure clusters are seizures that occur in rapid succession during periods of heightened
seizure risk and are associated with substantial morbidity and sudden unexpected death in …