Epilepsy is among the most dynamic disorders in neurology. A canonical view holds that
seizures, the characteristic sign of epilepsy, occur at random, but, for centuries, humans …

Epilepsy is well-recognized as a disorder of brain networks. There is a growing body of
research to identify critical nodes within dynamic epileptic networks with the aim to target …

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

Importance Focal epilepsy is characterized by the cyclical recurrence of seizures, but, to our
knowledge, the prevalence and patterns of seizure cycles are unknown. Objective To …

The ability to forecast seizures minutes to hours in advance of an event has been verified
using invasive EEG devices, but has not been previously demonstrated using noninvasive …

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

Background Circadian and multiday rhythms are found across many biological systems,
including cardiology, endocrinology, neurology, and immunology. In people with epilepsy …

Noninvasive wearable devices have great potential to aid the management of epilepsy, but
these devices must have robust signal quality, and patients must be willing to wear them for …

Objective The factors that influence seizure timing are poorly understood, and seizure
unpredictability remains a major cause of disability. Work in chronobiology has shown that …

Chronic brain recordings suggest that seizure risk is not uniform, but rather varies
systematically relative to daily (circadian) and multiday (multidien) cycles. Here, one human …