Neurofeedback of Fronto-Parietal Gamma-Oscillations

Grosse-Wentrup, M

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Neurofeedback of Fronto-Parietal Gamma-Oscillations

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

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http://lamp.tugraz.at/~karl/verlagspdf/Proceeding_BCI_Conference_2011_neu.pdf
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Citation

Grosse-Wentrup, M. (2011). Neurofeedback of Fronto-Parietal Gamma-Oscillations. In G. Müller-Putz, R. Scherer, M. Billinger, A. Kreilinger, V. Kaiser, & C. Neuper (Eds.), 5th International Brain-Computer Interface Conference (BCI 2011) (pp. 172-175). Graz, Austria: Verlag der Technischen Universität Graz.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-BA62-7

Abstract

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.