Work

High Gamma-Power Predicts Performance in Brain-Computer Interfacing

Year: 2012
Type: report
Abstract: 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 gamma-oscillations, originating in fronto-parietal networks, predict such variations on a trial-to-trial basis. We interpret this finding as empirical support for an in uence of attentional networks on BCI-performance via modulation of the sensorimotor rhythm.
Language: English
Open Access status: green
OpenAlex ID: W1523072639
Cites: 32
Cited by:
Related to: 10