Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State
arXiv Preprint Archive February 11, 2020 Jae-Geun Yoon, Minji Lee
People with low performance in motor imagery brain-computer interfaces (MI-BCIs) show a 23% performance gap compared to high performers, and a specific brain connectivity pattern during resting-state EEG—from the right lateral parietal to the left lateral parietal region—correlates negatively with MI performance (r = -0.37). These results suggest that resting-state effective connectivity may help explain why some individuals cannot effectively use MI-BCIs, a phenomenon known as BCI-illiteracy, and could guide alternative approaches tailored to the user.