title: Prediction of motor imagery based brain computer interface performance using a reaction time test.
abstract: Brain computer interfaces (BCIs) enable human brains to interact directly with machines. Motor imagery based BCI (MI-BCI) encodes the motor intentions of human agents and provides feedback accordingly. However, 15-30% of people are not able to perform vivid motor imagery. To save time and monetary resources, a number of predictors have been proposed to screen for users with low BCI aptitude. While the proposed predictors provide some level of correlation with MI-BCI performance, simple, objective and accurate predictors are currently not available. Thus, in this study we have examined the utility of a simple reaction time (SRT) test for predicting MI-BCI performance. We enrolled 10 subjects and measured their motor imagery performance with either visual or proprioceptive feedback. Their reaction time was also measured using a SRT test. The results show a significant negative correlation (r ≈ -0.67) between SRT and MI-BCI performance. Therefore SRT may be used as a simple and reliable predictor of MI-BCI performance.
authors.forename: Sam
authors.initials: S
authors.lastname: Darvishi
authors.forename: Derek
authors.initials: D
authors.lastname: Abbott
authors.forename: Mathias
authors.initials: M
authors.lastname: Baumert
mesh_terms: D001921:Brain; D062207:Brain-Computer Interfaces; D004569:Electroencephalography; D006801:Humans; D019018:Imagery, Psychotherapy; D007092:Imagination; D011930:Reaction Time