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
Motor imagery based brain-computer interfaces (MI-BCIs) allow the control of devices and communication by imagining different muscle movements. However, most studies have reported a problem of "BCI-illiteracy" that does not have enough performance to use MI-BCI. Therefore, understanding subjects with poor performance and finding the cause of performance variation is still an important...