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

The cyclical organization of seizures in epilepsy has been described since antiquity.
However, historical explanations for seizure cycles—based on celestial, hormonal, and …

Objective Seizure unpredictability is rated as one of the most challenging aspects of living
with epilepsy. Seizure likelihood can be influenced by a range of environmental and …

The canonical randomness of seizures is being reconsidered in light of cycles of brain
activity discovered through chronic EEG. This paradigm shift motivates development of next …

Electroencephalography (EEG) has been used to forecast seizures with varying success.
There is an increasing interest to use electrocardiogram (ECG) to help with seizure …

Objective Seizure forecasting using machine learning is possible, but the performance is far
from ideal, as indicated by many false predictions and low specificity. Here, we examine …

Objectives. People with refractory epilepsy are overwhelmed by the uncertainty of their next
seizures. Accurate prediction of future seizures could greatly improve the quality of life for …

Epilepsy is a brain disorder in which abnormal brain activity occurs, causing seizures.
Epilepsy causes sudden seizures which affects patients medical and social life. Prior …

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

Objective The apparent randomness of seizure occurrence affects greatly the quality of life of
persons with epilepsy. Since seizures are often phase-locked to multidien cycles of interictal …