Brain-computer interface in stroke: a review of progress.

Abstract

Brain-computer interface (BCI) technology has been used for rehabilitation after stroke and there are a number of reports involving stroke patients in BCI-feedback training. Most publications have demonstrated the efficacy of BCI technology in post-stroke rehabilitation using output devices such as Functional Electrical Stimulation, robot, and orthosis. The aim of this review is to focus on the progress of BCI-based rehabilitation strategies and to underline future challenges. A brief history of clinical BCI-approaches is presented focusing on stroke motor rehabilitation. A context for three approaches of a BCI-based motor rehabilitation program is outlined: the substitutive strategy, classical conditioning and operant conditioning. Furthermore, we include an overview of a pilot study concerning a new neuro-forcefeedback strategy. This pilot study involved healthy participants. Finally we address some challenges for future BCI-based rehabilitation.

• Authors: Stefano Silvoni, Ander Ramos-Murguialday, Marianna Cavinato, Chiara Volpato, Giulia Cisotto, Andrea Turolla, Francesco Piccione, Niels Birbaumer
• Journal: Clinical EEG and neuroscience (Clin EEG Neurosci) Vol. 42 Issue 4 Pg. 245-52 (Oct 2011) ISSN: 1550-0594 [Print] United States
• PMID: 22208122 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Review)

Topics

• Electroencephalography (methods)
• Feedback, Physiological (physiology)
• Humans
• Imagination (physiology)
• Man-Machine Systems
• Neuronal Plasticity
• Self-Help Devices
• Stroke (physiopathology)
• Stroke Rehabilitation
• User-Computer Interface