Cited by 441EEG and Brain-Computer InterfacesGaze Tracking and Assistive TechnologyStroke Rehabilitation and Recovery

Brain-computer interfaces and communication in paralysis: extinction of goal directed thinking in completely paralysed patients?

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Kübler, A., Birbaumer, N.·2008·Clinical Neurophysiology

Abstract

Objective To investigate the relationship between physical impairment and brain-computer interface (BCI) performance.Method We present a meta-analysis of 29 patients with amyotrophic lateral sclerosis and six patients with other severe neurological diseases in different stages of physical impairment who were trained with a BCI. In most cases voluntary regulation of slow cortical potentials has been used as input signal for BCI-control. More recently sensorimotor rhythms and the P300 event-related brain potential were recorded.Results A strong correlation has been found between physical impairment and BCI performance, indicating that performance worsens as impairment increases. Seven patients were in the complete locked-in state (CLIS) with no communication possible. After removal of these patients from the analysis, the relationship between physical impairment and BCI performance disappeared. The lack of a relation between physical impairment and BCI performance was confirmed when adding BCI data of patients from other BCI research groups.Conclusions Basic communication (yes/no) was not restored in any of the CLIS patients with a BCI. Whether locked-in patients can transfer learned brain control to the CLIS remains an open empirical question.Significance Voluntary brain regulation for communication is possible in all stages of paralysis except the CLIS.

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Crossref · 10.1016/j.clinph.2008.06.019

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  1. [4]Choularton S Dale R User responses to speech recognition errors: consistency of behaviour across domains 10th Australian International Conference on Speech Science & Technology Macquire University, Sydney Australia Australian Speech Science & Technology Association Inc. 2004

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Authors
Kübler, A., & Birbaumer, N.
Affiliations
  • University of Tübingen (DE)
  • National Institutes of Health (US)
Corresponding author
Kübler, A.
Venue
Clinical Neurophysiology
Publisher
Elsevier BV
Published
2008-11
Volume
119
Issue
11
Pages
2658-2666
ISSN
1388-2457 (ISSN-L)
OpenAlex
W1972606226
Cited by
441
References
50
Citations by year
2026: 10 · 2025: 20 · 2024: 14 · 2023: 14 · 2022: 13 · 2021: 18 · 2020: 26 · 2019: 20 · 2018: 26 · 2017: 22 · 2016: 35 · 2015: 33 · 2014: 35 · 2013: 43 · 2012: 39
FWCI
12.57
Type
journal article
Language
en
Open access
Locations
  • Clinical Neurophysiology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Deutsche Forschungsgemeinschaft
  • National Institute of Neurological Disorders and Stroke
  • National Institute of Biomedical Imaging and Bioengineering (EB 00856, R01EB000856)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD030146, HD30146)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
  • Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
Keywords
brain-computer interface, paralysis, amyotrophic lateral sclerosis, locked-in state, physical impairment, communication, slow cortical potentials, sensorimotor rhythm, P300
MeSH terms
Adult, Aged, Brain Diseases, Communication Devices for People with Disabilities, Computer Systems, Electroencephalography, Female, Goals, Humans, Male, Middle Aged, Paralysis, Periodicity, Thinking, User-Computer Interface, Meta-Analysis as Topic, Event-Related Potentials, P300

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