A new mathematical algorithm examines data from EEG and brain implants to learn each epilepsy patient's unique brain pattern signatures. The system can predict the onset of a seizure within an hour, allowing the patient to take necessary interventions.
Alterations in the local network of specific brain regions can predict the progression of epilepsy, and determine whether surgery is a viable option for the patient.
A new system translates EEG data into a 3D movie which shows activity in all recorded regions of the brain. The heat map shows where seizures start and spread throughout the patient's brain, in addition to evaluating the speed of activity during a seizure.
The release of 2-AG, a natural endocannabinoid that is suggested to be the brain's equivalent to THC, dampens down seizure activity but increases post-seizure oxygen deprivation in the brain.