Credit: Me?lanie Proix
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 forty 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. This is the first time anyone has been able to forecast seizures reliably several days in advance, which could really allow people to start planning their lives around when they re at high or low risk, said Vikram Rao, MD, PhD, a neurologist at the UCSF Epilepsy Center, part of the UCSF Helen Diller Medical Center at Parnassus Heights. Rao was co-senior author of the new study, which was published December 17, 2020 in
Image credit: Rao lab
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. This is the first time anyone has been able to forecast seizures reliably several days in advance, which could really allow people to start planning their lives around when they’re at high or low risk,” said Vikram Rao, MD, PhD, a neurologist at the UCSF Epilepsy Center, part of the UCSF Helen Diller Medical Center at Parnassus Heights. Rao was co-senior author of the new study, which was published Dec. 17, 2020, in