Background Seizure prediction would be clinically useful in patients with epilepsy and could
improve safety, increase independence, and allow acute treatment. We did a multicentre …

Background People with epilepsy are burdened with the apparent unpredictability of
seizures. In the past decade, converging evidence from studies using chronic EEG (cEEG) …

For almost 40 years, neuroscientists thought that epileptic seizures began abruptly, just a
few seconds before clinical attacks. There is now mounting evidence that seizures develop …

Research in seizure prediction has come a long way since its debut almost 4 decades ago.
Early studies suffered methodological caveats leading to overoptimistic results and lack of …

The current paradigm for treatment of epilepsy begins with trials of antiepileptic drugs,
followed by evaluation for resective brain surgery in drug-resistant patients. If surgery is not …

Epileptic seizures vary greatly in clinical phenomenology and can markedly affect the
patient's quality of life. As therapeutic interventions focus on reduction or elimination of …

Patients´ views on the relevance, performance requirements, and implementation of seizure
prediction devices have so far not been evaluated in a standardized form. We here report …

Importance A bidirectional brain-computer interface that performs neurostimulation has been
shown to improve seizure control in patients with refractory epilepsy, but the therapeutic …

Seizure anticipation: from algorithms to clinical practice : Current Opinion in Neurology Seizure
anticipation: from algorithms to clinical practice : Current Opinion in Neurology Log in or …

Objective Despite the overall success of responsive neurostimulation (RNS) therapy for drug‐
resistant focal epilepsy, clinical outcomes in individuals vary significantly and are hard to …