December 6, 2022

In an innovative study, researchers from HSE University, RAN Institute of Linguistics, and the the Pirogov Center measured and analyzed high-frequency oscillations (HFO) in different regions of the brain. An automated detector predicted seizure outcomes based on HFO rates with an accuracy rate of 85%, and by applying machine learning, made it possible to distinguish between epileptogenic and non-epileptogenic HFO.


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