Brain-computer communication: Unlocking the locked in.
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)
- An inventory for measuring depressionBECK, A. T. · 1961 · Archives of General Psychiatry
- Controlled and automatic human information processing: II. Perceptual learning, automatic attending, and a general theoryShiffrin, Richard M., Schneider, Walter · 1977 · Psychological Review
- 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
- Is the P300 component a manifestation of context updating?Donchin, Emanuel, Coles, Michael G. H. · 1988 · Behavioral and Brain Sciences
- CORTICAL PLASTICITY: From Synapses to MapsBuonomano, Dean V., Merzenich, Michael M. · 1998 · Annual Review of Neuroscience
- A spelling device for the paralysedBirbaumer, N., Ghanayim, N., Hinterberger, T., Iversen, I., Kotchoubey, B., Kübler, A., Perelmouter, J., Taub, E., Flor, H. · 1999 · Nature
- The thought translation device (TTD) for completely paralyzed patientsBirbaumer, 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
- Altered States of Consciousness2012 · SpringerReference
Cited by (34)
- Brain–computer interfaces for communication and controlWolpaw, Jonathan R, Birbaumer, Niels, McFarland, Dennis J, Pfurtscheller, Gert, Vaughan, Theresa M · 2002 · Clinical Neurophysiology
- A review of classification algorithms for EEG-based brain–computer interfacesLotte, F, Congedo, M, Lécuyer, A, Lamarche, F, Arnaldi, B · 2007 · Journal of Neural Engineering
- Brain Computer Interfaces, a ReviewNicolas-Alonso, Luis Fernando, Gomez-Gil, Jaime · 2012 · Sensors
- Brain–machine interfaces: past, present and futureLebedev, Mikhail A., Nicolelis, Miguel A.L. · 2006 · Trends in Neurosciences
- Review of the BCI Competition IVTangermann, 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
How to cite
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.