Brain-computer interface in stroke: a review of progress

Clin EEG Neurosci. 2011 Oct;42(4):245-52. doi: 10.1177/155005941104200410.

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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

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