Brain-computer interfaces (BCIs) provide a non-muscular communication channel. Methods o f p erformance prediction decrease the time needed for paradigm selection. We performed a visual P300 BCI session with 13 healthy participants. The correlation between the amplitude of the auditory standard oddball response and P300 BCI performance was analyzed. Significant differences in the auditory standard oddball response between high and low aptitude users were found in frontal EEG channels. Correlations of up to r=0.72 were found between oddball response and BCI perfomance. This shows that a short auditory oddball measurement can be used to predict P300 BCI aptitude.
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