Summary, originally published on news-medical.net
Professor Bin He’s team at Carnegie Mellon University, in collaboration with the Mayo Clinic, has discovered that fast oscillations in scalp-recorded electroencephalography can pinpoint brain tissues responsible for epileptic seizures.
The collaborative research, recently published in the Proceedings of the National Academy of Sciences (PNAS), leverages noninvasive EEG technology along with the development of a novel machine learning algorithm to automatically identify and delineate concurrent high-frequency oscillations and epileptiform spikes, a key link related to epilepsy. In the near future, these findings may be harnessed to rethink imaging and treatment options for epilepsy patients.
New groundbreaking research led by Bin He, professor of biomedical engineering at Carnegie Mellon University, in collaboration with the Mayo Clinic, combines clinical application and engineering innovation to present a safe, noninvasive, cost-effective, and quicker imaging option for patients with epilepsy.
Other researchers have attempted noninvasive EEG studies; however, He’s work is unique in that it discovers and automatically records a novel link between high-frequency oscillations (HFOs) and epileptiform spikes. The link, in turn, identifies a unique biomarker by which the epileptogenic brain can be delineated and localized, thus offering extremely desirable means for noninvasive management of epilepsy, as well as aiding with treatment options.