Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 201-213 |
| Number of pages | 13 |
| Journal | Brain-Computer Interfaces |
| Volume | 4 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2 Oct 2017 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2017, © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Funding
This work was supported by the European Union’s Seventh Framework Programme for research, technological development and demonstration [grant number 602186] and by the Ministry of Science, Technology and Space [grant number 3-11170] and by the Sagol family fund.
| Funders | Funder number |
|---|---|
| European Union’s Seventh Framework Programme for research, technological development and demonstration | |
| Sagol Family Fund | |
| Seventh Framework Programme | 602186 |
| Ministry of Science, Technology and Space | 3-11170 |
Keywords
- Application development and evaluation
- Brain–computer interface (BCI)
- electroencephalogram (EEG)
- intracranial depth electrodes
- neurofeedback (NF)
- neurosurgical approaches and methods, affective computing
- signal acquisition: EEG (other)