“Thought”–control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia
Abstract
The aim of the present study was to demonstrate the first time the non-invasive restoration of hand grasp function in a tetraplegic patient by electroencephalogram (EEG)-recording and functional electrical stimulation (FES) using surface electrodes. The patient was able to generate bursts of beta oscillations in the EEG by imagination of foot movement. These beta bursts were analyzed and classified by a brain-computer interface (BCI) and the output signal used to control a FES device. The patient was able to grasp a cylinder with the paralyzed hand.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Subject learning in online MI BCI is most often hypothesized to occur "by default" in analogy to neurofeedback training.
“To begin with, subject learning in online MI BCI is most often hypothesized to occur “by default” in analogy to neurofeedback training [1,46,54,55].”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [54]
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 · see citing works
Self-citationEvent-related EEG/MEG synchronization and desynchronization: basic principles
Pfurtscheller, G., & Lopes da Silva, F. H. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00141-8 · Cited by 7,328 · see citing works
Self-citationMotor imagery and direct brain-computer communication
Pfurtscheller, G., & Neuper, C. (2001) · Proceedings of the IEEE · doi:10.1109/5.939829 · Cited by 1,990 · see citing works
Self-citationReal-time prediction of hand trajectory by ensembles of cortical neurons in primates
Wessberg, J., Stambaugh, C. R., Kralik, J. D., Beck, P. D., Laubach, M., Chapin, J. K., Kim, J., Biggs, S. J., Srinivasan, M. A., & Nicolelis, M. A. L. (2000) · Nature · doi:10.1038/35042582 · Cited by 1,491 · see citing works
Brain oscillations control hand orthosis in a tetraplegic
Pfurtscheller, G., Guger, C., Müller, G., Krausz, G., & Neuper, C. (2000) · Neuroscience Letters · doi:10.1016/s0304-3940(00)01471-3 · Cited by 472 · see citing works
Self-citationPeckham, P. H., Keith, M. W., Kilgore, K. L., Grill, J. H., Wuolle, K. S., Thrope, G. B., Gorman, P., Hobby, J., Mulcahey, M. J., Carroll, S., et al. (2001) · Archives of Physical Medicine and Rehabilitation · doi:10.1053/apmr.2001.25910 · Cited by 319 · see citing works
Rapid prototyping of an EEG-based brain-computer interface (BCI)
Guger, C., Schlögl, A., Neuper, C., Walterspacher, D., Strein, T., & Pfurtscheller, G. (2001) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/7333.918276 · Cited by 312 · see citing works
Self-citationPopović, M. R., Popović, D. B., & Keller, T. (2002) · Neurological Research · doi:10.1179/016164102101200311 · Cited by 155 · see citing works
EEG-based control of a hand grasp neuroprosthesis
Lauer, R. T., Peckham, P. H., & Kilgore, K. L. (1999) · Neuroreport · doi:10.1097/00001756-199906030-00026 · Cited by 106 · see citing works
The functional impact of the Freehand System on tetraplegic hand function. Clinical Results
Taylor, P. N., Esnouf, J., & Hobby, J. (2002) · Spinal Cord · doi:10.1038/sj.sc.3101373 · Cited by 88 · see citing works
Lugger, K., Flotzinger, D., Schlögl, A., et al. (1998) · Medical & Biological Engineering & Computing · doi:10.1007/bf02522476 · Cited by 43 · see citing works
Artificial Grasping System for the Paralyzed Hand
Castro, M. C. F., & Cliquet, A. (2000) · Artificial Organs · doi:10.1046/j.1525-1594.2000.06524.x · Cited by 26 · see citing works
Fromm, B., Rupp, R., & Gerner, H. J. (2001) · Handchirurgie · Mikrochirurgie · Plastische Chirurgie · doi:10.1055/s-2001-15129 · Cited by 15 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Brain Computer Interfaces, a Review
Nicolas-Alonso, L. F., & Gomez-Gil, J. (2012) · Sensors · doi:10.3390/s120201211 · Cited by 2,143 · see citing works
Brain–machine interfaces: past, present and future
Lebedev, M. A., & Nicolelis, M. A. L. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.07.004 · Cited by 1,875 · see citing works
Restoring cortical control of functional movement in a human with quadriplegia
Bouton, C. E., Shaikhouni, A., Annetta, N. V., Bockbrader, M. A., Friedenberg, D. A., Nielson, D. M., Sharma, G., Sederberg, P. B., Glenn, B. C., Mysiw, W. J., et al. (2016) · Nature · doi:10.1038/nature17435 · Cited by 924 · see citing works
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 · see citing works
Ajiboye, A. B., Willett, F. R., Young, D. R., Memberg, W. D., Murphy, B. A., Miller, J. P., Walter, B. L., Sweet, J. A., Hoyen, H. A., Keith, M. W., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)30601-3 · Cited by 862 · see citing works
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 · see citing works
EEG-based neuroprosthesis control: A step towards clinical practice
Müller-Putz, G. R., Scherer, R., Pfurtscheller, G., & Rupp, R. (2005) · Neuroscience Letters · doi:10.1016/j.neulet.2005.03.021 · Cited by 477 · see citing works
Self-citationKübler, A., & Birbaumer, N. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.06.019 · Cited by 441 · see citing works
The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology
Blankertz, B., Tangermann, M., Vidaurre, C., Fazli, S., Sannelli, C., Haufe, S., Maeder, C., Ramsey, L., Sturm, I., Curio, G., et al. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00198 · Cited by 357 · see citing works
The Berlin brain-computer Interface: accurate performance from first-session in BCI-naive subjects
Blankertz, B., Losch, F., Krauledat, M., Dornhege, G., Curio, G., & Muller, K.-R. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.923152 · Cited by 338 · see citing works
Psychological predictors of SMR-BCI performance
Hammer, E. M., Halder, S., Blankertz, B., Sannelli, C., Dickhaus, T., Kleih, S., Müller, K.-R., & Kübler, A. (2012) · Biological Psychology · doi:10.1016/j.biopsycho.2011.09.006 · Cited by 267 · see citing works
Life can be worth living in locked-in syndrome
Lulé, D., Zickler, C., Häcker, S., Bruno, M. A., Demertzi, A., Pellas, F., Laureys, S., & Kübler, A. (2009) · Progress in Brain Research · doi:10.1016/s0079-6123(09)17723-3 · Cited by 217 · see citing works
The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users
Perdikis, S., Tonin, L., Saeedi, S., Schneider, C., & Millán, J. D. R. (2018) · PLOS Biology · doi:10.1371/journal.pbio.2003787 · Cited by 166 · see citing works
Lin, C.-T., Ko, L.-W., Chang, M.-H., Duann, J.-R., Chen, J.-Y., Su, T.-P., & Jung, T.-P. (2010) · Gerontology · doi:10.1159/000230807 · Cited by 133 · see citing works
Brain-machine interfaces: an overview.
Lebedev, M. (2014) · Translational Neuroscience · doi:10.2478/s13380-014-0212-z · Cited by 112 · see citing works
A co-adaptive brain-computer interface for end users with severe motor impairment
Faller, J., Scherer, R., Costa, U., Opisso, E., Medina, J., & Müller-Putz, G. R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0101168 · Cited by 55 · see citing works
- Authors
- Pfurtscheller, G., Müller, G. R., Pfurtscheller, J., Gerner, H. J., & Rupp, R.
- Affiliations
- Graz University of Technology (AT)
- Heidelberg University (DE)
- Corresponding author
- Pfurtscheller, Gert
- Venue
- Neuroscience Letters
- Publisher
- Elsevier BV
- Published
- 2003-11
- Volume
- 351
- Issue
- 1
- Pages
- 33-36
- ISSN
- 0304-3940 (ISSN-L)
- OpenAlex
- W2051097876
- Cited by
- 548
- References
- 13
- Citations by year
- 2026: 4 · 2025: 9 · 2024: 16 · 2023: 18 · 2022: 14 · 2021: 30 · 2020: 27 · 2019: 23 · 2018: 29 · 2017: 31 · 2016: 49 · 2015: 28 · 2014: 40 · 2013: 31 · 2012: 31
- FWCI
- 7.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuroscience Letters (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Health Sciences › Medicine › Pathology and Forensic Medicine › Spinal Cord Injury Research
- Keywords
- tetraplegia, functional electrical stimulation, beta oscillations, brain-computer interface, motor imagery, non-invasive brain-computer interface, surface electrodes, upper limb paralysis
- MeSH terms
- Adult, Electrodes, Electroencephalography, Electric Stimulation Therapy, Humans, Male, Movement, Quadriplegia, Hand Strength
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review