Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation

Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation

Abstract Background Brain-Computer Interfaces (BCI) promote upper limb recovery in stroke patients reinforcing motor related brain activity (from electroencephalogaphy, EEG). Hybrid BCIs which include peripheral signals (electromyography, EMG) as control features could be employed to monitor post-st...

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Bibliographic Details
Main Authors: Floriana Pichiorri, Jlenia Toppi, Valeria de Seta, Emma Colamarino, Marcella Masciullo, Federica Tamburella, Matteo Lorusso, Febo Cincotti, Donatella Mattia
Format: Article
Language:English
Published: BMC 2023-01-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Brain computer interface
EEG
EMG
Corticomuscolar coherence
Stroke
Graph theory
Online Access:https://doi.org/10.1186/s12984-023-01127-6

Internet

https://doi.org/10.1186/s12984-023-01127-6

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