All offline analyses were performed using the EEGLAB toolbox (Delorme and Makeig, 2004 (link)) and Matlab2015b (The MathWorks Inc. Natick, MA, USA). The data was processed in General Data Format (GDF). Considering the large number of electrodes used in this study (e.g., =128) and the purpose of this research (motor patterns over the motor cortex) we chose to use a common average referencing (CAR) performed using EEGLAB (Dien, 1998 ; Lei and Liao, 2017 (link)). The results were also visualized by applying a Laplacian filter and a Mastoidal re-referencing and confirmed those described below (Perrin et al., 1989 (link)). Then, EEG signals were resampled at 128 Hz and divided into 9 s epochs corresponding to 2 s before and 7 s after the motor task for each run. Finally, we removed the trials containing muscle artifacts that may have affected ERD/ERS modulations. For this purpose, we used the EMG electrode present throughout the experiment. We also eliminated trials which included ERDs and ERS outlayers (i.e., ERDs and ERSs that significantly exceeded the confidence interval for the same run). The number of trials deleted are described in the corresponding result section (see section 3.1).
Free full text: Click here