Sleeping patterns and stress hormones could be the key to understanding how and when people with epilepsy are likely to experience seizures, according to a study published in PLoS Computational ...

A computer algorithm can noninvasively detect hippocampal epileptiform activity (HEA) using only information from a standard scalp EEG, new research suggests. This machine learning approach may ...

Sleeping patterns and stress hormones could be the key to understanding how and when people with epilepsy are likely to experience seizures, a new study reveals. Researchers used mathematical ...

Epilepsy is best known for seizures, but many people with the condition also experience much more frequent and subtler ...

Using Neuropixels probes, the scientists mapped the sequential approach by which interictal epileptiform discharges occur in ...

Between 10 and 35% of comatose survivors of cardiac arrest have rhythmic and periodic EEG patterns. Whether intensive antiseizure treatment could improve neurologic outcomes is unknown. New research ...

UC San Francisco researchers have shown that subtle epileptic brain disruptions, known as interictal epileptiform discharges, can be predicted a full second before they occur using neuron-level ...