Electrical stimulation of the vagus nerve, one of the twelve cranial nerves, can be an effective treatment for epilepsy. However, this method does not work for all patients. To predict if a patient can expect improvement by this stimulation, UT professor and clinical neurophysiologist Michel van Putten and his team, are looking for clues in long-term brain activity patterns, using self-learning analytical software.
Scientists from the University of Twente and UMC Utrecht are developing a mathematical model that can simulate the activity in different parts of the brain of epileptic patients. This helps to identify which brain parts play a role in epileptic attacks and may improve the surgical treatment. The project received a ZonMw Pearl, an honor only awarded to the most outstanding projects.
The UT is starting a new student team dedicated to biosensing. The team will participate in the annual SensUs competition which challenges students from all over the world to make biosensors for real-life applications. For its 2020 edition, the students need to develop a biosensor to help epilepsy patients.