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

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). Piscataway, NJ, USA: IEEE.

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Grosse-Wentrup, M1, 2, Author              
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1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 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.

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 Dates: 2011-05
 Publication Status: Published in print
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 Identifiers: DOI: 10.1109/NER.2011.5910567
BibTex Citekey: GrosseWentrup2011
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Title: 5th International IEEE/EMBS Conference on Neural Engineering (NER 2011)
Place of Event: Cancun, Mexico
Start-/End Date: 2011-04-27 - 2011-05-01

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Title: 5th International IEEE/EMBS Conference on Neural Engineering (NER 2011)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 384 - 387 Identifier: ISBN: 978-1-4244-4140-2