Using EEG-based brain connectivity for the study of brain dynamics in brain-computer interfaces

TL;DR

This paper explores EEG-based brain connectivity methods to enhance brain-computer interfaces, aiming to improve neuro-rehabilitation strategies for gait recovery using neurotechnologies and exoskeletons.

Contribution

It proposes four innovative strategies for integrating brain connectivity analysis into BCI systems to better understand cerebral mechanisms and aid neuro-rehabilitation.

Findings

Four connectivity-based strategies for BCI are proposed.

Potential for improved neuro-rehabilitation of gait.

Framework for designing new control and rehabilitation schemes.

Abstract

The analysis of brain connectivity aims to understand the emergence of functional networks into the brain. This information can be used in the process of electroencephalographic (EEG) signal analysis and classification for a braincomputer interface (BCI). These systems provide an alternative channel of communication and control to people with motor impairments. In this article, four strategies for using the brain connectivity in a BCI environment as a tool to obtain a deeper understanding of the cerebral mechanisms are proposed, with the principal aim of developing a scheme oriented to neuro-rehabilitation of gait in combination with different neurotechnologies and exoskeletons. This scheme would allow improving current schemes and/or to design new control strategies, as well as rehabilitation approaches.