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Fronto-Parietal Gamma-Oscillations are a Cause of Performance Variation in Brain-Computer Interfacing

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons75531

Grosse-Wentrup,  M.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Citation

Grosse-Wentrup, M. (2011). Fronto-Parietal Gamma-Oscillations are a Cause of Performance Variation in Brain-Computer Interfacing. In 5th International IEEE/EMBS Conference on Neural Engineering (NER 2011) (pp. 384-387).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-4D03-8
Abstract
In recent work, we have provided evidence that fronto-parietal γ-oscillations of the electromagnetic field of the brain modulate the sensorimotor-rhythm. It is unclear, however, what impact this effect may have on explaining and addressing within-subject performance variations of brain-computer interfaces (BCIs). In this paper, we provide evidence that on a group-average classification accuracies in a two-class motor-imagery paradigm differ by up to 22.2% depending on the state of fronto-parietal γ-power. As such, this effect may have a large impact on the design of future BCI-systems. We further investigate whether adapting classification procedures to the current state of γ-power improves classification accuracy, and discuss other approaches to exploiting this effect.