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  High Gamma-Power Predicts Performance in Brain-Computer Interfacing

Grosse-Wentrup, M., & Schölkopf, B.(2012). High Gamma-Power Predicts Performance in Brain-Computer Interfacing (3).

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 Creators:
Grosse-Wentrup, M1, Author           
Schölkopf, B1, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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

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 Dates: 2012-02
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 3
BibTex Citekey: GrosseWentrupS2012
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