The presented analysis scenario shows how source reconstruction can be embedded in the EEG classification system and highlights its benefits for brain-computer interfaces (BCI) performance. Results of the analysis, trained classifiers, and selected feature indices can be directly used in BCI feedback training sessions. Linear inverse operators, such as WMNE, and sparse regions-of-interest are computationally simple enough to be applied in real-time settings.
