EEG Source Imaging of Movement Decoding: The State of the Art and Future Directions

In this article, we provide an overview of electroencephalography (EEG) source imaging (ESI) of movement decoding for brain-computer interface (BCI) applications. The current state-of-the-art neuroimaging modality-functional magnetic resonance imaging (fMRI)-is expensive and nonportable and has poor temporal resolution. EEG, however, offers an attractive choice as a portable and cost-effective neuroimaging technique that delivers excellent temporal resolution, especially in reading dynamic human motor behavior.