High Gamma-Power Predicts Performance in Brain-Computer Interfacing

2012

Technical Report

ei

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 nding as empirical support for an in uence of attentional networks on BCI-performance via modulation of the sensorimotor rhythm.

@techreport{GrosseWentrupS2012,
  title = {High Gamma-Power Predicts Performance in Brain-Computer Interfacing},
  author = {Grosse-Wentrup, M. and Sch{\"o}lkopf, B.},
  number = {3},
  institution = {Max-Planck-Institut für Intelligente Systeme, Tübingen},
  month = feb,
  year = {2012},
  doi = {},
  month_numeric = {2}
}