Epilepsy is a common disorder characterized by recurrent seizures. An overwhelming
majority of people with epilepsy regard the unpredictability of seizures as a major issue …

Abstract Machine learning (ML) is increasingly recognized as a useful tool in healthcare
applications, including epilepsy. One of the most important applications of ML in epilepsy is …

Seizures are a disruption of normal brain activity present across a vast range of species and
conditions. We introduce an organizing principle that leads to the first objective Taxonomy of …

Patients with drug-resistant epilepsy often require surgery to become seizure-free. While
laser ablation and implantable stimulation devices have lowered the morbidity of these …

The unpredictability of epileptic seizures exposes people with epilepsy to potential physical
harm, restricts day-to-day activities, and impacts mental well-being. Accurate seizure …

Recent review papers have investigated seizure prediction, creating the possibility of
preempting epileptic seizures. Correct seizure prediction can significantly improve the …

There exist significant clinical and basic research needs for accurate, automated seizure
detection algorithms. These algorithms have translational potential in responsive …

As data sharing has become more prevalent, three pillars-archives, standards, and analysis
tools-have emerged as critical components in facilitating effective data sharing and …

The application of closed-loop approaches in systems neuroscience and therapeutic
stimulation holds great promise for revolutionizing our understanding of the brain and for …

Patients suffering from epileptic seizures are usually treated with medication and/or surgical
procedures. However, in more than 30% of cases, medication or surgery does not effectively …