Recording cortical activity during imagined leg movement is a challenging task due to cortical
representation of legs deeper within the central sulcus. Therefore Brain Computer Interface (BCI) studies
typically rely on imagined movement of both legs [1]. Activity of deeper cortical structures can be estimated offline
from multichannel Electroencephalography (EEG) by using LORETA numerical method [2]. LORETA can
also be calculated in real time to provide an instantaneous estimate of brain activity, but currently available
solution supports only up to 19 channels (BrainAvatar, BrainMaster, Inc). In this study we propose a custom
designed real time LORETA neurofeedback based on multichannel EEG to increase cortical activity at the
central sulcus during continuous imagining tapping with one leg only. This strategy could be useful in
neurorehabilitation of hemiplegia (i.e. stroke)
