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Prediction of P300 BCI Aptitude in Severe Motor Impairment

Please always quote using this URN: urn:nbn:de:bvb:20-opus-97268
  • 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 theBrain-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.show moreshow less

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Metadaten
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
URN:urn:nbn:de:bvb:20-opus-97268
Document Type:Journal article
Faculties:Fakultät für Humanwissenschaften (Philos., Psycho., Erziehungs- u. Gesell.-Wissensch.) / Institut für Psychologie
Language:English
Parent Title (English):PLoS ONE
Year of Completion:2013
Source:In: PLoS ONE (2013) 8: 10, doi:10.1371/journal.pone.0076148
DOI:https://doi.org/10.1371/journal.pone.0076148
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:amyothropic lateral sclerosis; electrode potentials; electroencephalography; event-related potentials; functional magnetic imaging; human performance; man-computer interface; topography
Release Date:2014/05/07
EU-Project number / Contract (GA) number:224631
EU-Project number / Contract (GA) number:288566
OpenAIRE:OpenAIRE
Collections:Open-Access-Publikationsfonds / Förderzeitraum 2013
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung