Individuals with drug-resistant focal epilepsy are candidates for surgical treatment as a
curative option. Before surgery can take place, the patient must have a presurgical …

The human brain has the capacity to rapidly change state, and in epilepsy these state
changes can be catastrophic, resulting in loss of consciousness, injury and even death …

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 …

Experimental models of epilepsy are useful to identify potential mechanisms of
epileptogenesis, seizure genesis, comorbidities, and treatment efficacy. The kainic acid (KA) …

Background Epilepsy has long been suspected to be governed by cyclic rhythms, with
seizure rates rising and falling periodically over weeks, months, or even years. The very long …

Accurate seizure prediction will transform epilepsy management by offering warnings to
patients or triggering interventions. However, state-of-the-art algorithm design relies on …

Controlled clinical trials in adults with medically intractable focal seizures treated with the
RNS® System demonstrate that closed-loop responsive neurostimulation to the seizure …

Epilepsy is a unique neurologic condition characterized by recurrent seizures, where
causes, underlying biomarkers, triggers, and patterns differ across individuals. The …

Over the past 10 years, the drive to improve outcomes from epilepsy surgery has stimulated
widespread interest in methods to quantitatively guide epilepsy surgery from intracranial …

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 …