High Gamma-Power Predicts Performance in Sensorimotor-Rhythm Brain-Computer Interfaces
Moritz Grosse-Wentrup and Bernhard Schölkopf
Journal of Neural Engineering
Subjects operating a brain–computer interface (BCI) based on sensorimotor rhythms exhibit large variations in performance over the course of an experimental session. Here, we show that high-frequency γ-oscillations, originating in fronto-parietal networks, predict such variations on a trial-to-trial basis. We interpret this finding as empirical support for an influence of attentional networks on BCI performance via modulation of the sensorimotor rhythm.