TY  - JOUR
A1  - Halder, Sebastian
A1  - Ruf, Carolin Anne
A1  - Furdea, Adrian
A1  - Pasqualotto, Emanuele
A1  - De Massari, Daniele
A1  - van der Heiden, Linda
A1  - Bogdan, Martin
A1  - Rosenstiel, Wolfgang
A1  - Birbaumer, Niels
A1  - Kübler, Andrea
A1  - Matuz, Tamara
T1  - Prediction of P300 BCI Aptitude in Severe Motor Impairment
JF  - PLoS ONE
N2  - 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.
KW  - amyothropic lateral sclerosis
KW  - electrode potentials
KW  - electroencephalography
KW  - event-related potentials
KW  - functional magnetic imaging
KW  - human performance
KW  - man-computer interface
KW  - topography
Y1  - 2013
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-97268
ER  -