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Neurofeedback of Fronto-Parietal Gamma-Oscillations

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83948

Grosse-Wentrup,  M
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Grosse-Wentrup, M. (2011). Neurofeedback of Fronto-Parietal Gamma-Oscillations. In 5th International Brain-Computer Interface Conference (BCI 2011) (pp. 172-175). Graz, Austria: Verlag der Technischen Universität Graz.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-BA62-7
Zusammenfassung
In recent work, we have provided evidence that fronto-parietal γ-range oscillations are a cause of within-subject performance variations in brain-computer interfaces (BCIs) based on motor-imagery. Here, we explore the feasibility of using neurofeedback of fronto-parietal γ-power to induce a mental state that is beneficial for BCI-performance. We provide empirical evidence based on two healthy subjects that intentional attenuation of fronto-parietal γ-power results in an enhanced resting-state sensorimotor-rhythm (SMR). As a large resting-state amplitude of the SMR has been shown to correlate with good BCI-performance, our approach may provide a means to reduce performance variations in BCIs.