On the assesment of functional connectivity in an immersive brain-computer interface during motor imagery

Understand

New trends on brain-computer interface (BCI) design are aiming to combine this technology with immersive virtual reality in order to provide a sense of realism to its users.

• In this study, we propose an experimental BCI to control an immersive telepresence system using motor imagery (MI).
• The system is immersive in the sense that the users can control the movement of a NAO humanoid robot in a first person perspective (1PP), i.e., as if the movement of the robot was his/her own.
• We analyze functional brain connectivity between 1PP and 3PP during the control of our BCI using graph theory properties such as degree, betweenness centrality, and efficiency.