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 journalArticle

Abstract

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
Volume5
Issue number2-3
DOIs
Publication statusPublished - 2018 Jul 3

Fingerprint

Brain-Computer Interfaces
Brain computer interface
Patient rehabilitation
Rehabilitation
Imagery (Psychotherapy)
Movement Disorders
Electric Stimulation
Compliance
Feedback control
Stroke
Education
Recovery
Stroke Rehabilitation

Keywords

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

ASJC Scopus subject areas

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

Cite this

Guger, C., Millán, J. D. R., Mattia, D., Ushiba, J., Soekadar, S. R., Prabhakaran, V., ... Allison, B. Z. (2018). Brain-computer interfaces for stroke rehabilitation: summary of the 2016 BCI Meeting in Asilomar. Brain-Computer Interfaces, 5(2-3), 41-57. https://doi.org/10.1080/2326263X.2018.1493073

Brain-computer interfaces for stroke rehabilitation : summary of the 2016 BCI Meeting in Asilomar. / Guger, Christoph; Millán, José del R.; Mattia, Donatella; Ushiba, Junichi; Soekadar, Surjo R.; Prabhakaran, Vivek; Mrachacz-Kersting, Natalie; Kamada, Kyousuke; Allison, Brendan Z.

In: Brain-Computer Interfaces, Vol. 5, No. 2-3, 03.07.2018, p. 41-57.

Research output: Contribution to journalArticle

Guger, C, Millán, JDR, Mattia, D, Ushiba, J, Soekadar, SR, Prabhakaran, V, Mrachacz-Kersting, N, Kamada, K & Allison, BZ 2018, 'Brain-computer interfaces for stroke rehabilitation: summary of the 2016 BCI Meeting in Asilomar', Brain-Computer Interfaces, vol. 5, no. 2-3, pp. 41-57. https://doi.org/10.1080/2326263X.2018.1493073
Guger, Christoph ; Millán, José del R. ; Mattia, Donatella ; Ushiba, Junichi ; Soekadar, Surjo R. ; Prabhakaran, Vivek ; Mrachacz-Kersting, Natalie ; Kamada, Kyousuke ; Allison, Brendan Z. / Brain-computer interfaces for stroke rehabilitation : summary of the 2016 BCI Meeting in Asilomar. In: Brain-Computer Interfaces. 2018 ; Vol. 5, No. 2-3. pp. 41-57.
@article{54ca7f07905f44399c355081d9147eee,
title = "Brain-computer interfaces for stroke rehabilitation: summary of the 2016 BCI Meeting in Asilomar",
abstract = "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.",
keywords = "event-related desynchronization, functional electrical stimulation, motor imagery, stroke rehabilitation",
author = "Christoph Guger and Mill{\'a}n, {Jos{\'e} del R.} and Donatella Mattia and Junichi Ushiba and Soekadar, {Surjo R.} and Vivek Prabhakaran and Natalie Mrachacz-Kersting and Kyousuke Kamada and Allison, {Brendan Z.}",
year = "2018",
month = "7",
day = "3",
doi = "10.1080/2326263X.2018.1493073",
language = "English",
volume = "5",
pages = "41--57",
journal = "Brain-Computer Interfaces",
issn = "2326-263X",
publisher = "Taylor and Francis Ltd.",
number = "2-3",

}

TY - JOUR

T1 - Brain-computer interfaces for stroke rehabilitation

T2 - summary of the 2016 BCI Meeting in Asilomar

AU - Guger, Christoph

AU - Millán, José del R.

AU - Mattia, Donatella

AU - Ushiba, Junichi

AU - Soekadar, Surjo R.

AU - Prabhakaran, Vivek

AU - Mrachacz-Kersting, Natalie

AU - Kamada, Kyousuke

AU - Allison, Brendan Z.

PY - 2018/7/3

Y1 - 2018/7/3

N2 - 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.

AB - 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.

KW - event-related desynchronization

KW - functional electrical stimulation

KW - motor imagery

KW - stroke rehabilitation

UR - http://www.scopus.com/inward/record.url?scp=85056754242&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85056754242&partnerID=8YFLogxK

U2 - 10.1080/2326263X.2018.1493073

DO - 10.1080/2326263X.2018.1493073

M3 - Article

VL - 5

SP - 41

EP - 57

JO - Brain-Computer Interfaces

JF - Brain-Computer Interfaces

SN - 2326-263X

IS - 2-3

ER -