## 2018/12/20

### 論文:Training in Use of Brain–Machine Interface-Controlled Robotic Hand Improves Accuracy Decoding Two Types of Hand Movements

In this study, we demonstrate that BMIs based on magnetoencephalography (MEG) signals precisely decode hand movements in real time (Bradberry et al., 2009; Toda et al., 2011; Fukuma et al., 2015) and training to use the BMIs induces plastic changes in cortical activity of healthy subjects (Nishimura et al., 2013; Clancy et al., 2014; Luu et al., 2017), especially in the accuracy to decode hand movements.