Prediction of P300 BCI aptitude in severe motor impairment.
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...
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2013
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oai:doaj.org-article:e7f262d7743c4eac8d427348ad58bf702021-11-18T08:50:29ZPrediction of P300 BCI aptitude in severe motor impairment.1932-620310.1371/journal.pone.0076148https://doaj.org/article/e7f262d7743c4eac8d427348ad58bf702013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24204597/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Brain-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.Sebastian HalderCarolin Anne RufAdrian FurdeaEmanuele PasqualottoDaniele De MassariLinda van der HeidenMartin BogdanWolfgang RosenstielNiels BirbaumerAndrea KüblerTamara MatuzPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 10, p e76148 (2013) |
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EN |
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Medicine R Science Q |
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Medicine R Science Q Sebastian Halder Carolin Anne Ruf Adrian Furdea Emanuele Pasqualotto Daniele De Massari Linda van der Heiden Martin Bogdan Wolfgang Rosenstiel Niels Birbaumer Andrea Kübler Tamara Matuz Prediction of P300 BCI aptitude in severe motor impairment. |
| description |
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. |
| format |
article |
| author |
Sebastian Halder Carolin Anne Ruf Adrian Furdea Emanuele Pasqualotto Daniele De Massari Linda van der Heiden Martin Bogdan Wolfgang Rosenstiel Niels Birbaumer Andrea Kübler Tamara Matuz |
| author_facet |
Sebastian Halder Carolin Anne Ruf Adrian Furdea Emanuele Pasqualotto Daniele De Massari Linda van der Heiden Martin Bogdan Wolfgang Rosenstiel Niels Birbaumer Andrea Kübler Tamara Matuz |
| author_sort |
Sebastian Halder |
| title |
Prediction of P300 BCI aptitude in severe motor impairment. |
| title_short |
Prediction of P300 BCI aptitude in severe motor impairment. |
| title_full |
Prediction of P300 BCI aptitude in severe motor impairment. |
| title_fullStr |
Prediction of P300 BCI aptitude in severe motor impairment. |
| title_full_unstemmed |
Prediction of P300 BCI aptitude in severe motor impairment. |
| title_sort |
prediction of p300 bci aptitude in severe motor impairment. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2013 |
| url |
https://doaj.org/article/e7f262d7743c4eac8d427348ad58bf70 |
| work_keys_str_mv |
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1718421294973714432 |