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, according to a study published in PLoS Computational ...

An estimated 60% of patients with Alzheimer's disease develop epilepsy or subclinical epileptiform activity over the course of the disease. New-onset seizures in cognitively healthy adults also ...

Epilepsy and Alzheimer's disease are bidirectionally related. Epilepsy is often complicated by progressive cognitive impairments, and late-onset epilepsy (onset generally after 55–65 years of age) is ...

Neurophysiological techniques (e.g., electroencephalography, EEG, transcranial magnetic stimulation, TMS) allow an informed investigation of the brain overexcitability underpinning the typical ...

In a recent article published in JAMA Neurology, researchers tested whether the artificial intelligence (AI) model, SCORE-AI, interprets routine clinical electroencephalograms (EEGs) with comparable ...

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 ...