A University of Houston biomedical engineer is reporting a dramatic decrease in the time it takes to detect the seizure onset zone -- the part of the brain that causes seizures -- in patients with epilepsy.
Nearly 30 percent of epilepsy patients are resistant to drug therapy, so they have the option of surgery to remove their seizure onset zones. Most of them opt in, according to assistant professor Nuri Ince, noting the improved quality of life for sufferers.
He who compares the process to a broken bike or car which makes the same sound randomly, yet repetitively. “In a car it’s a sound, in a brain it’s the oscillatory patterns that are almost screaming ‘I am here!’”
Using oscillating brain waves, rather than observing seizures as they happen, Ince locates the seizure onset zone in one hour. Current treatment protocols for detecting the zone require prolonged monitoring in the hospital for up to 10 days. Ince’s new method to locate the seizure onset zone, reported in Brain, A Journal of Neurology, could save patients weeks of hospitalization, reduce complications and costs associated with what has traditionally been an arduous, and often painful, procedure.
Ince and his former graduate student, Su Liu, studied pediatric and adult brain patterns provided by collaborators at Texas Children’s Hospital, Baylor College of Medicine, University of Texas MD Anderson Cancer Center, Istanbul University and University of Minnesota.
Ince developed a pipeline of machine learning algorithms to interpret the brain waves, and after two years his algorithm identified the pattern.
“We got goosebumps when we saw it,” said Ince, recalling the moment he realized that the patterns could not only be found quickly, but also could add to the medical community’s understanding and knowledge of how seizures start.
“Can you imagine monitoring a patient for just one hour, as compared to before when it takes days or weeks?” Ince said, saying it can save of both time and money to patient and their families.