Event Abstract Back to Event Improving BCI decoding performance through analysis of cortical traveling waves Kevin Vanbecelaere1*, Nikolay Chumerin2, Cees Van Leeuwen1 and David M. Alexander1 1 KU Leuven, Belgium 2 KU Leuven, Belgium An assumption in nearly all cognitive neuroscience research is that of space-time separability. It assumes that the mechanisms constituting the cortical signal are functions of space and time, and that these dimensions of signal can be treated separately. This implies that part of the signal -that which is space-time inseparable- is noise. A growing literature focuses on the spatiotemporal dynamics of cortical activity in the form of traveling waves. Traveling waves have been shown to be functionally significant at the single-trial level (Alexander et al., 2006; Alexander et al., 2009) and at multiple spatial scales of cortex (Klimesch et al., 2007; Nauhaus et al., 2009; Takahashi et al., 2011). The steady-state visual evoked potential (SSVEP) data presented in this paper come from a brain-computer interface (BCI) setup. The aim of a BCI system is to decode brain activity in order to enable subjects to interact with the world through computers, bypassing the need of muscular activity. Participants were shown three aligned LED stimuli flickering at different frequencies and at different phase shifts. When flickering in the alpha band, the stimulus induces an EEG response that possesses a spectral component narrowly centered around the frequency of presentation. The BCI apparatus uses this response to decide what stimulus the subject is looking at. Therefore, maximizing the phase accuracy of the stimulus-induced SSVEP signal is crucial for efficient decoding. Typically, phase-locking to the mean phase of the stimulus is relatively poor (i.e. circular variance relatively large). In this paper, we hypothesize that the BCI signal is not space-time separable and much of phase jitter can be explained by taking traveling wave components into account, hence improving the BCI performance. Figure 1 References Alexander, D. M., Flynn, G. J., Wong, W., Whitford, T. J., Harris, A. W. F., Galletly, C. a., & Silverstein, S. M. (2009). Spatio-temporal EEG waves in first episode schizophrenia. Clinical Neurophysiology, 120(9), 1667–1682. doi:10.1016/j.clinph.2009.06.020 Alexander, D. M., Trengove, C., Wright, J. J., Boord, P. R., & Gordon, E. (2006). Measurement of phase gradients in the EEG. Journal of Neuroscience Methods, 156(1-2), 111–28. doi:10.1016/j.jneumeth.2006.02.016 Klimesch, W., Hanslmayr, S., Sauseng, P., Gruber, W. R., & Doppelmayr, M. (2007). P1 and traveling alpha waves: evidence for evoked oscillations. Journal of Neurophysiology, 97(2), 1311–1318. doi:10.1152/jn.00876.2006 Nauhaus, I., Busse, L., Carandini, M., & Ringach, D. L. (2009). Stimulus contrast modulates functional connectivity in visual cortex. Nature Neuroscience, 12(1), 70–6. doi:10.1038/nn.2232 Takahashi, K., Saleh, M., Penn, R. D., & Hatsopoulos, N. G. (2011). Propagating waves in human motor cortex. Frontiers in Human Neuroscience, 5, 40. doi:10.3389/fnhum.2011.00040 Keywords: traveling waves, BCI, SSVEP, Space-time separability, EEG Conference: Second Belgian Neuroinformatics Congress, Leuven, Belgium, 4 Dec - 4 Dec, 2015. Presentation Type: Poster Presentation Topic: Methods and Modeling Citation: Vanbecelaere K, Chumerin N, Van Leeuwen C and Alexander DM (2015). Improving BCI decoding performance through analysis of cortical traveling waves. Front. Neuroinform. Conference Abstract: Second Belgian Neuroinformatics Congress. doi: 10.3389/conf.fninf.2015.19.00038 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 16 Oct 2015; Published Online: 17 Nov 2015. * Correspondence: Mr. Kevin Vanbecelaere, KU Leuven, B- 3000, Vlaams-Brabant, Leuven, Belgium, kevin.vanbecelaere@ppw.kuleuven.be Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Kevin Vanbecelaere Nikolay Chumerin Cees Van Leeuwen David M Alexander Google Kevin Vanbecelaere Nikolay Chumerin Cees Van Leeuwen David M Alexander Google Scholar Kevin Vanbecelaere Nikolay Chumerin Cees Van Leeuwen David M Alexander PubMed Kevin Vanbecelaere Nikolay Chumerin Cees Van Leeuwen David M Alexander Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
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