Prediction of P300 BCI Aptitude in Severe Motor Impairment.
(2013) PLoS One — Vol. 8, n° 10, p. e76148 (2013)
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- Abstract
- Brain-computer interfaces (BCIs) provide a non-muscular communication channel for persons with severe motor impairments. Previous studies have shown that the aptitude with which a BCI can be controlled varies from person to person. A reliable predictor of performance could facilitate selection of a suitable BCI paradigm. Eleven severely motor impaired participants performed three sessions of a P300 BCI web browsing task. Before each session auditory oddball data were collected to predict the BCI aptitude of the participants exhibited in the current session. We found a strong relationship of early positive and negative potentials around 200 ms (elicited with the auditory oddball task) with performance. The amplitude of the P2 (r = -0.77) and of the N2 (r = -0.86) had the strongest correlations. Aptitude prediction using an auditory oddball was successful. The finding that the N2 amplitude is a stronger predictor of performance than P3 amplitude was reproduced after initially showing this effect with a healthy sample of BCI users. This will reduce strain on the end-users by minimizing the time needed to find suitable paradigms and inspire new approaches to improve performance.
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Halder, S., Ruf, C. A., Furdea, A., Pasqualotto, E., De Massari, D., van der Heiden, L., Bogdan, M., Rosenstiel, W., Birbaumer, N., Kübler, A., & Matuz, T. (2013). Prediction of P300 BCI Aptitude in Severe Motor Impairment. PLoS One, 8(10), e76148. https://doi.org/10.1371/journal.pone.0076148 (Original work published 2013)