Patterns of brain activity can be used to forecast seizure risk in epilepsy patients several days in advance, according to a new analysis of data obtained from clinically approved brain implants by neuroscientists at UC San Francisco, the University of Bern and the University of Geneva.
“For 40 years, efforts to predict seizures have focused on developing early warning systems, which at best could give patients warnings just a few seconds or minutes in advance of a seizure.
