Neurogaming With Motion-Onset Visual Evoked Potentials (mVEPs): Adults Versus Teenagers

Ryan Beveridge, S Wilson, M Callaghan, Damien Coyle

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)
305 Downloads (Pure)


Motion-onset visually evoked potentials (mVEPs) are neural potentials that are time-locked to the onset of motion of evoking stimuli. Due to their visually elegant properties, mVEP stimuli may be suited to video game control given gaming's inherent demand on the users' visual attention and the requirement to process rapidly changing visual information. Here, we investigate mVEPs associated with five different stimuli to control the position of a car in a visually rich 3D racing game in a group of 15 BCI naïve teenagers and compared with 19 BCI naive adults. Results from an additional 14 BCI experienced adults were compared with BCI naïve adults. Our results demonstrate that the game control accuracy is related to the number of trials used to make a decision on the users' chosen button/stimulus (76%, 62%, and 35% for 5, 3, and 1 trials, respectively) and information transfer rate (ITR) (13.4, 13.9, and 6.6 bits per minute (BPM)), although, even though accuracy decreases when using three compared to the commonly used five trial repetitions, ITR is maintained. A Kruskal-Wallis test suggests that BCI naïve adults do not outperform BCI naïve teenagers in the 3D racing game in the first and seconds laps (p > 0.05), but do outperform in the third lap (p < 0.05). A comparison between BCI naïve and BCI experienced adults indicates BCI experienced adults do not perform better than BCI naïve adults (p > 0.05).

Original languageEnglish
Article number8664451
Pages (from-to)572-581
Number of pages10
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Issue number4
Early online date11 Mar 2019
Publication statusPublished (in print/issue) - 8 Apr 2019


  • BCI
  • motion-onset visually evoked potentials (mVEP)
  • video game
  • EEG
  • 3-Dimensional (3D)
  • neurogaming
  • Electroencephalography
  • visualisation
  • electroencephalography (EEG)
  • 3-dimensional (3D)
  • Brain-computer interface (BCI)


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