On the Assessment of Functional Connectivity in an Immersive Brain-Computer Interface During Motor Imagery.

ABSTRACT: 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. Changes in these metrics are obtained for the case of the 1PP, as well as for the traditional third person perspective (3PP) in which the us

SUBMITTER: Alanis-Espinosa M 

PROVIDER: S-EPMC7343938 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature