Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking

Trieu Phat Luu, Sho Nakagome, Yongtian He, Jose L. Contreras-Vidal

Research output: Contribution to journalArticle

37 Scopus citations

Abstract

Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the feasibility of neural decoding for both users' gait intent and continuous kinematics. However, the dynamics of cortical involvement in human upright walking with a closed-loop BCI has not been investigated. This study aims to investigate the changes of cortical involvement in human treadmill walking with and without BCI control of a walking avatar. Source localization revealed significant differences in cortical network activity between walking with and without closed-loop BCI control. Our results showed sustained α/μ suppression in the Posterior Parietal Cortex and Inferior Parietal Lobe, indicating increases of cortical involvement during walking with BCI control. We also observed significant increased activity of the Anterior Cingulate Cortex (ACC) in the low frequency band suggesting the presence of a cortical network involved in error monitoring and motor learning. Additionally, the presence of low γ modulations in the ACC and Superior Temporal Gyrus may associate with increases of voluntary control of human gait. This work is a further step toward the development of a novel training paradigm for improving the efficacy of rehabilitation in a top-down approach.

Original languageEnglish (US)
Article number8895
JournalScientific Reports
Volume7
Issue number1
DOIs
StatePublished - Dec 1 2017

ASJC Scopus subject areas

  • General

Fingerprint Dive into the research topics of 'Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking'. Together they form a unique fingerprint.

Cite this