Brain Sciences, 2021 · DOI: https://doi.org/10.3390/brainsci11070853 · Published: June 25, 2021
This study investigates how personality traits, brain asymmetry, and handedness influence the success of controlling brain-computer interfaces (BCIs) using motor imagery. The research found that certain personality traits are associated with better BCI control during the imagination of left or right hand movements. These traits differ depending on whether the individual is a 'pure' right-hander or a latent left-hander. The study also explored the subjective complexity of real and imagined movements, finding correlations with the accuracy of brain state recognition and highlighting the role of interhemispheric differences in motor control.
Tailoring BCI training protocols based on individual personality traits and handedness could improve user performance.
Understanding the role of interhemispheric asymmetry and motor control can inform targeted rehabilitation strategies for stroke patients.
Identifying suitable BCI users based on personality profiles may reduce BCI illiteracy and improve overall BCI effectiveness.