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.
