The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The thought-translation device (TTD): neurobehavioral mechanisms and clinical outcome
Abstract
The thought-translation device (TTD) consists of a training device and spelling program for the completely paralyzed using slow-cortical brain potentials (SCP). During the training phase, the self-regulation of SCPs is learned through visual-auditory feedback and positive reinforcement of SCPs; during the spelling phase, patients select letters or words with their SCPs. A psychophysiological system for detection of cognitive functioning in completely paralyzed patients is an integral part of the TTD. The neurophysiological and anatomical basis of SCP-regulation was investigated by recording of BOLD-response in functional magnetic resonance imaging. Results showed involvement of basal ganglia and premotor cortex for required SCP positivity. The clinical outcome of 11 paralyzed patients using the TTD and quality of life of severely paralyzed patients is described. First attempts to improve learning of brain regulation with transcranial magnetic stimulation were successful.
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Cites
Brain–computer interfaces for communication and control
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00057-3 · Cited by 7,927
Self-citationA 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 · doi:10.1038/18581 · Cited by 1,577
Self-citationA cellular mechanism of reward-related learning
Reynolds, J. N. J., Hyland, B. I., & Wickens, J. R. (2001) · Nature · doi:10.1038/35092560 · Cited by 879
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 · doi:10.1109/86.847812 · Cited by 493
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Cited by
Brain Computer Interfaces, a Review
Nicolas-Alonso, L. F., & Gomez-Gil, J. (2012) · Sensors · doi:10.3390/s120201211 · Cited by 2,143
Brain–computer interfaces for communication and rehabilitation
Chaudhary, U., Birbaumer, N., & Ramos-Murguialday, A. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.113 · Cited by 928
Self-citationToward Brain-Computer Interfacing
(2007) · The MIT Press eBooks · doi:10.7551/mitpress/7493.001.0001 · Cited by 785
Breaking the silence: Brain-computer interfaces (BCI) for communication and motor control
Birbaumer, N. (2006) · Psychophysiology · doi:10.1111/j.1469-8986.2006.00456.x · Cited by 722
Self-citationCharacterization of four-class motor imagery EEG data for the BCI-competition 2005
Schlögl, A., Lee, F., Bischof, H., & Pfurtscheller, G. (2005) · Journal of Neural Engineering · doi:10.1088/1741-2560/2/4/l02 · Cited by 414
Metadata
- Authors
- Birbaumer, N., Hinterberger, T., Kubler, A., & Neumann, N.
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2003-06
- Volume
- 11
- Issue
- 2
- Pages
- 120-123
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2111636711
- Cited by
- 196
- References
- 4
- FWCI
- 4.69
- Type
- journal article
- Language
- en
- Open access
- closed
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