Brain-computer interfaces for stroke rehabilitation: summary of the 2016 BCI Meeting in Asilomar

Christoph Guger, José del R. Millán, Donatella Mattia, Junichi Ushiba, Surjo R. Soekadar, Vivek Prabhakaran, Natalie Mrachacz-Kersting, Kyousuke Kamada, Brendan Z. Allison

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


Brain-computer interfaces (BCIs) based on motor imagery have been gaining attention as tools to facilitate recovery from movement disorders resulting from stroke or other causes. These BCIs can detect imagined movements that are typically required within conventional rehabilitation therapy. This information about the timing, intensity, and location of imagined movements can help assess compliance and control feedback mechanisms such as functional electrical stimulation (FES) and virtual avatars. Here, we review work from eight groups that each presented recent results with BCI-based rehabilitation at a workshop during the 6th International Brain-Computer Interface Meeting. We also present major directions and challenges for future research.

Original languageEnglish
Pages (from-to)41-57
Number of pages17
JournalBrain-Computer Interfaces
Issue number2-3
Publication statusPublished - 2018 Jul 3


  • event-related desynchronization
  • functional electrical stimulation
  • motor imagery
  • stroke rehabilitation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Human-Computer Interaction
  • Behavioral Neuroscience
  • Electrical and Electronic Engineering


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