Brain-computer communication: Unlocking the locked in.

Kübler, Andrea, Kotchoubey, Boris, Kaiser, Jochen, Wolpaw, Jonathan R., Birbaumer, Niels·2001·Psychological Bulletin

Abstract

With the increasing efficiency of life-support systems and better intensive care, more patients survive severe injuries of the brain and spinal cord. Many of these patients experience locked-in syndrome: The active mind is locked in a paralyzed body. Consequently, communication is extremely restricted or impossible. A muscle-independent communication channel overcomes this problem and is realized through a brain-computer interface, a direct connection between brain and computer. The number of technically elaborated brain-computer interfaces is in contrast with the number of systems used in the daily life of locked-in patients. It is hypothesized that a profound knowledge and consideration of psychological principles are necessary to make brain-computer interfaces feasible for locked-in patients.

Cites (8)

  1. An inventory for measuring depression
    BECK, A. T. · 1961 · Archives of General Psychiatry
  2. Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theory
    Shiffrin, Richard M., Schneider, Walter · 1977 · Psychological Review
  3. A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation.
    Deci, Edward L., Koestner, Richard, Ryan, Richard M. · 1999 · Psychological Bulletin
  4. Is the P300 component a manifestation of context updating?
    Donchin, Emanuel, Coles, Michael G. H. · 1988 · Behavioral and Brain Sciences
  5. CORTICAL PLASTICITY: From Synapses to Maps
    Buonomano, Dean V., Merzenich, Michael M. · 1998 · Annual Review of Neuroscience
  6. A spelling device for the paralysed
    Birbaumer, N., Ghanayim, N., Hinterberger, T., Iversen, I., Kotchoubey, B., Kübler, A., Perelmouter, J., Taub, E., Flor, H. · 1999 · Nature
  7. The thought translation device (TTD) for completely paralyzed patients
    Birbaumer, N., Kubler, A., Ghanayim, N., Hinterberger, T., Perelmouter, J., Kaiser, J., Iversen, I., Kotchoubey, B., Neumann, N., Flor, H. · 2000 · IEEE Transactions on Rehabilitation Engineering
  8. Altered States of Consciousness
    2012 · SpringerReference

Show all 8 references

Cited by (34)

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    Wolpaw, Jonathan R, Birbaumer, Niels, McFarland, Dennis J, Pfurtscheller, Gert, Vaughan, Theresa M · 2002 · Clinical Neurophysiology
  2. A review of classification algorithms for EEG-based brain–computer interfaces
    Lotte, F, Congedo, M, Lécuyer, A, Lamarche, F, Arnaldi, B · 2007 · Journal of Neural Engineering
  3. Brain Computer Interfaces, a Review
    Nicolas-Alonso, Luis Fernando, Gomez-Gil, Jaime · 2012 · Sensors
  4. Brain–machine interfaces: past, present and future
    Lebedev, Mikhail A., Nicolelis, Miguel A.L. · 2006 · Trends in Neurosciences
  5. Review of the BCI Competition IV
    Tangermann, Michael, Müller, Klaus-Robert, Aertsen, Ad, Birbaumer, Niels, Braun, Christoph, Brunner, Clemens, Leeb, Robert, Mehring, Carsten, Miller, Kai J., Müller-Putz, Gernot R. et al. · 2012 · Frontiers in Neuroscience

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Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Brain-computer communication: Unlocking the locked in. https://app.cochat.ai/papers/10.1037//0033-2909.127.3.358
The paper
Kübler, A., Kotchoubey, B., Kaiser, J., Wolpaw, J. R., & Birbaumer, N. (2001). Brain-computer communication: Unlocking the locked in. Psychological Bulletin. https://doi.org/10.1037//0033-2909.127.3.358

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.