User-state Prediction using Brain Connectivity

Abstract

There are different types of brain-computer interfaces (BCIs). The different type of the BCI has different strengths and weaknesses. Therefore, different type BCI is used depending on the applications. The BCI system will be powerful if different type of the BCI can be applied to the one system according to a user-state. To implement the BCI system, prediction of the user state is required. In this paper, we investigated the change of brain networks according to the user states using mutual information. Our results showed that the brain networks were changed according to the user states. The result implies that multi-mode BCI system will be possible by predicting user state using brain connectivity.