Alpha Correlates of Practice During Mental Preparation for Motor Imagery

In this study, we quantified performance variations of motor imagery (MI)-based brain–computer interface (BCI) systems induced by practice. Two experimental sessions were recorded from ten healthy subjects while playing a BCI-oriented video game for 2 weeks. The analysis focused on the exploration electroencephalographic (EEG) changes during mental preparation between novice and practiced subjects. EEG using global field power (GFP), dynamic time warping (TW), mutual information (MutInf): GFP represents strength electric field, TW measures signal similarities, MutInf signals interdependency. Each metric was selected to relate insights extracted three hypotheses associating practice with BCI performance. Significant results identified in lower alpha upper MutInf. assessed not only versus but also “intrasession” differences. Findings suggest that provide quantitative measure level. These metrics before intention could be applied models targeting MI monitor user’s degree training.