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    Simple reaction time tests can predict brain-computer interface (BCI) performance. This study found that faster reaction times correlate with better motor imagery BCI (MI-BCI) outcomes, aiding user selection.

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    Area of Science:

    • Neuroscience
    • Human-Computer Interaction
    • Biomedical Engineering

    Background:

    • Brain-computer interfaces (BCIs) facilitate direct neural control of external devices.
    • Motor imagery BCIs (MI-BCIs) rely on users' ability to imagine movements.
    • A significant portion of individuals struggle with vivid motor imagery, necessitating predictors for MI-BCI aptitude.

    Purpose of the Study:

    • To evaluate the efficacy of a simple reaction time (SRT) test as a predictor of MI-BCI performance.
    • To identify a simple, objective, and accurate method for screening potential MI-BCI users.
    • To address the lack of readily available predictors for MI-BCI aptitude.

    Main Methods:

    • Recruited 10 participants to assess MI-BCI performance with visual or proprioceptive feedback.
    • Administered a simple reaction time (SRT) test to all participants.
    • Analyzed the correlation between SRT and MI-BCI performance metrics.

    Main Results:

    • A significant negative correlation (r ≈ -0.67) was observed between SRT and MI-BCI performance.
    • Shorter reaction times were associated with higher MI-BCI performance.
    • The SRT test demonstrated potential as a reliable predictor.

    Conclusions:

    • Simple reaction time (SRT) can serve as a practical and effective predictor for motor imagery brain-computer interface (MI-BCI) performance.
    • SRT testing offers a valuable tool for screening individuals with high potential for MI-BCI use.
    • This finding can help optimize user selection and resource allocation in BCI research and application.