TY - JOUR
T1 - Depth electrode neurofeedback with a virtual reality interface*
AU - Yamin, Hagar Grazya
AU - Gazit, Tomer
AU - Tchemodanov, Natalia
AU - Raz, Gal
AU - Jackont, Gilan
AU - Charles, Fred
AU - Fried, Itzhak
AU - Hendler, Talma
AU - Cavazza, Marc
N1 - Publisher Copyright:
© 2017, © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2017/10/2
Y1 - 2017/10/2
N2 - 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.
AB - 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.
KW - Application development and evaluation
KW - Brain–computer interface (BCI)
KW - electroencephalogram (EEG)
KW - intracranial depth electrodes
KW - neurofeedback (NF)
KW - neurosurgical approaches and methods, affective computing
KW - signal acquisition: EEG (other)
UR - http://www.scopus.com/inward/record.url?scp=85056818438&partnerID=8YFLogxK
U2 - 10.1080/2326263X.2017.1338008
DO - 10.1080/2326263X.2017.1338008
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:85056818438
SN - 2326-263X
VL - 4
SP - 201
EP - 213
JO - Brain-Computer Interfaces
JF - Brain-Computer Interfaces
IS - 4
ER -