A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns

Clin Neurophysiol. 2010 Jul;121(7):1109-20. doi: 10.1016/j.clinph.2010.01.030. Epub 2010 Mar 26.

Abstract

Objective: An electroencephalographic brain-computer interface (BCI) can provide a non-muscular means of communication for people with amyotrophic lateral sclerosis (ALS) or other neuromuscular disorders. We present a novel P300-based BCI stimulus presentation - the checkerboard paradigm (CBP). CBP performance is compared to that of the standard row/column paradigm (RCP) introduced by Farwell and Donchin (1988).

Methods: Using an 8x9 matrix of alphanumeric characters and keyboard commands, 18 participants used the CBP and RCP in counter-balanced fashion. With approximately 9-12 min of calibration data, we used a stepwise linear discriminant analysis for online classification of subsequent data.

Results: Mean online accuracy was significantly higher for the CBP, 92%, than for the RCP, 77%. Correcting for extra selections due to errors, mean bit rate was also significantly higher for the CBP, 23 bits/min, than for the RCP, 17 bits/min. Moreover, the two paradigms produced significantly different waveforms. Initial tests with three advanced ALS participants produced similar results. Furthermore, these individuals preferred the CBP to the RCP.

Conclusions: These results suggest that the CBP is markedly superior to the RCP in performance and user acceptability.

Significance: The CBP has the potential to provide a substantially more effective BCI than the RCP. This is especially important for people with severe neuromuscular disabilities.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Brain / physiology*
  • Electroencephalography / methods
  • Event-Related Potentials, P300 / physiology*
  • Female
  • Humans
  • Male
  • Nervous System Diseases / physiopathology
  • Nervous System Diseases / rehabilitation
  • Pattern Recognition, Visual / physiology*
  • Photic Stimulation / methods*
  • User-Computer Interface*