Depth Electrode Neurofeedback with a Virtual Reality Interface

Authors: Yamin, H.G., Gazit, T., Tchemodanov, N., Raz, G., Jackont, G., Charles, F., Fried, I., Hendler, T. and Cavazza, M.

http://eprints.bournemouth.ac.uk/29287/

Journal: Brain-Computer Interfaces (BCI)

DOI: 10.1080/2326263X.2017.1338008

Invasive Brain-Computer Interfaces (BCI) provide better signal quality in terms of spatial localization, frequencies and signal/noise ratio, in addition to giving access to deep brain regions that play important roles in cognitive or affective processes. Despite some anecdotal attempts, little work has explored the possibility of integrating such BCI input into more sophisticated interactive systems like those which can be developed with game engines. In this paper, we integrated an amygdala depth electrode recorder with a virtual environment controlling a virtual crowd. Subjects were asked to down regulate their amygdala using the level of unrest in the virtual room as feedback on how successful they were. We report early results which suggest that users adapt very easily to this paradigm and that the timing and fluctuations of amygdala activity during self-regulation can be matched by crowd animation in the virtual room. This suggests that depth electrodes could also serve as high-performance affective interfaces, notwithstanding their strictly limited availability, justified on medical grounds only.

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Authors: Yamin, H.G., Gazit, T., Tchemodanov, N., Raz, G., Jackont, G., Charles, F., Fried, I., Hendler, T. and Cavazza, M.

http://eprints.bournemouth.ac.uk/29287/

Journal: Brain-Computer Interfaces

Volume: 4

Issue: 4

Pages: 201-213

eISSN: 2326-2621

ISSN: 2326-263X

DOI: 10.1080/2326263X.2017.1338008

© 2017, © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Invasive brain–computer interfaces (BCI) provide better signal quality in terms of spatial localization, frequencies and signal/noise ratio, in addition to giving access to deep brain regions that play important roles in cognitive or affective processes. Despite some anecdotal attempts, little work has explored the possibility of integrating such BCI input into more sophisticated interactive systems like those which can be developed with game engines. In this article, we integrated an amygdala depth electrode recorder with a virtual environment controlling a virtual crowd. Subjects were asked to down regulate their amygdala using the level of unrest in the virtual room as feedback on how successful they were. We report early results which suggest that users adapt very easily to this paradigm and that the timing and fluctuations of amygdala activity during self-regulation can be matched by crowd animation in the virtual room. This suggests that depth electrodes could also serve as high-performance affective interfaces, notwithstanding their strictly limited availability, justified on medical grounds only.

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