Brain–computer interface–based communication in the completely locked-in State
Open accessAbstract
Despite partial success, communication has remained impossible for persons suffering from complete motor paralysis but intact cognitive and emotional processing, a state called complete locked-in state (CLIS). Based on a motor learning theoretical context and on the failure of neuroelectric brain-computer interface (BCI) communication attempts in CLIS, we here report BCI communication using functional near-infrared spectroscopy (fNIRS) and an implicit attentional processing procedure. Four patients suffering from advanced amyotrophic lateral sclerosis (ALS)-two of them in permanent CLIS and two entering the CLIS without reliable means of communication-learned to answer personal questions with known answers and open questions all requiring a "yes" or "no" thought using frontocentral oxygenation changes measured with fNIRS. Three patients completed more than 46 sessions spread over several weeks, and one patient (patient W) completed 20 sessions. Online fNIRS classification of personal questions with known answers and open questions using linear support vector machine (SVM) resulted in an above-chance-level correct response rate over 70%. Electroencephalographic oscillations and electrooculographic signals did not exceed the chance-level threshold for correct communication despite occasional differences between the physiological signals representing a "yes" or "no" response. However, electroencephalogram (EEG) changes in the theta-frequency band correlated with inferior communication performance, probably because of decreased vigilance and attention. If replicated with ALS patients in CLIS, these positive results could indicate the first step towards abolition of complete locked-in states, at least for ALS.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
It may be hard to obtain sufficiently large patient populations for concrete and statistically significant conclusions.
“Additionally, it is apparent from previous work that access to sufficiently large patient populations for concrete and statistically significant conclusions may be difficult to obtain (1–5, 8, 11, 29, 39).”
From Noninvasive neuroimaging enhances continuous neural tracking for robotic device control (2019) · cites this paper as [5]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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-citationEEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
Klimesch, W. (1999) · Brain Research Reviews · doi:10.1016/s0165-0173(98)00056-3 · Cited by 6,889 · see citing works
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,542 · see citing works
The Behavior of Organisms: An Experimental Analysis
Jones, F. N., & Skinner, B. F. (1939) · The American Journal of Psychology · doi:10.2307/1416495 · Cited by 4,388 · see citing works
EEG alpha oscillations: The inhibition–timing hypothesis
Klimesch, W., Sauseng, P., & Hanslmayr, S. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2006.06.003 · Cited by 3,890 · see citing works
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Hochberg, L. R., Serruya, M. D., Friehs, G. M., Mukand, J. A., Saleh, M., Caplan, A. H., Branner, A., Chen, D., Penn, R. D., & Donoghue, J. P. (2006) · Nature · doi:10.1038/nature04970 · Cited by 3,295 · see citing works
Farwell, L. A., & Donchin, E. (1988) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(88)90149-6 · Cited by 3,228 · see citing works
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., Haddadin, S., Liu, J., Cash, S. S., van der Smagt, P., et al. (2012) · Nature · doi:10.1038/nature11076 · Cited by 2,719 · see citing works
The Complete Works of Aristotle the Revised Oxford Translation
Aristotle, J., Barnes, J. A., Smith, W., & Ross (1984) · Princeton University Press eBooks · Cited by 2,382 · see citing works
Statistical Digital Signal Processing and Modeling
Gruber, M. H. J., & Hayes, M. H., III (1997) · Technometrics · doi:10.2307/1271141 · Cited by 2,220 · see citing works
Mechanisms of visual attention in the human cortex
Ungerleider, S. K. A. L. G. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.315 · Cited by 2,159 · see citing works
High-performance neuroprosthetic control by an individual with tetraplegia
Collinger, J. L., Wodlinger, B., Downey, J. E., Wang, W., Tyler-Kabara, E. C., Weber, D. J., McMorland, A. J., Velliste, M., Boninger, M. L., & Schwartz, A. B. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61816-9 · Cited by 1,848 · see citing works
Synchronization of cortical activity and its putative role in information processing and learning
Singer, W. (1993) · Annual Review of Physiology · doi:10.1146/annurev.ph.55.030193.002025 · Cited by 1,685 · see citing works
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 · doi:10.1038/18581 · Cited by 1,577 · see citing works
Self-citationControl of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
Wolpaw, J. R., & McFarland, D. J. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403504101 · Cited by 1,512 · see citing works
Bidirectional control of CNS capillary diameter by pericytes
Peppiatt, C. M., Howarth, C., Mobbs, P., & Attwell, D. (2006) · Nature · doi:10.1038/nature05193 · Cited by 1,150 · 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
Self-citationBrain–computer interfaces: communication and restoration of movement in paralysis
Birbaumer, N., & Cohen, L. G. (2007) · The Journal of Physiology · doi:10.1113/jphysiol.2006.125633 · Cited by 753 · see citing works
Self-citationBreaking 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
Self-citationLearning of Visceral and Glandular Responses
Miller, N. E. (1969) · Science · doi:10.1126/science.163.3866.434 · Cited by 719 · see citing works
A P300-based brain–computer interface for people with amyotrophic lateral sclerosis
Nijboer, F., Sellers, E. W., Mellinger, J., Jordan, M. A., Matuz, T., Furdea, A., Halder, S., Mochty, U., Krusienski, D. J., Vaughan, T. M., et al. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.03.034 · Cited by 633 · see citing works
Self-citationPatients with ALS can use sensorimotor rhythms to operate a brain-computer interface
Kübler, A., Nijboer, F., Mellinger, J., Vaughan, T. M., Pawelzik, H., Schalk, G., McFarland, D. J., Birbaumer, N., & Wolpaw, J. R. (2005) · Neurology · doi:10.1212/01.wnl.0000158616.43002.6d · Cited by 539 · see citing works
Self-citationMethods of Quantitating Cerebral Near Infrared Spectroscopy Data
Cope, M., Delpy, D. T., Reynolds, E. O. R., Wray, S., Wyatt, J. S., & van der Zee, P. (1988) · Advances in experimental medicine and biology · doi:10.1007/978-1-4615-9510-6_21 · Cited by 504 · see citing works
Varieties of the locked-in syndrome
Bauer, G., Gerstenbrand, F., & Rumpl, E. (1979) · Journal of Neurology · doi:10.1007/bf00313105 · Cited by 504 · see citing works
Statistical Digital Signal Processing and Modeling
Gruber, M. H. J. (1997) · Technometrics · doi:10.1080/00401706.1997.10485128 · Cited by 490 · see citing works
Kübler, A., & Birbaumer, N. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.06.019 · Cited by 441 · see citing works
Self-citationBetter than random: A closer look on BCI results
Mueller-Putz, G., Scherer, R., Brunner, C., Leeb, R., & Pfurtscheller, G. (2008) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 419 · see citing works
Brain-computer communication: Self-regulation of slow cortical potentials for verbal communication
Kübler, A., Neumann, N., Kaiser, J., Kotchoubey, B., Hinterberger, T., & Birbaumer, N. (2001) · Archives of Physical Medicine and Rehabilitation · doi:10.1053/apmr.2001.26621 · Cited by 351 · see citing works
Self-citationClinical translation of a high-performance neural prosthesis
Gilja, V., Pandarinath, C., Blabe, C. H., Nuyujukian, P., Simeral, J. D., Sarma, A. A., Sorice, B. L., Perge, J. A., Jarosiewicz, B., Hochberg, L. R., et al. (2015) · Nature Medicine · doi:10.1038/nm.3953 · Cited by 343 · see citing works
Jarosiewicz, B., Sarma, A. A., Bacher, D., Masse, N. Y., Simeral, J. D., Sorice, B., Oakley, E. M., Blabe, C., Pandarinath, C., Gilja, V., et al. (2015) · Science Translational Medicine · doi:10.1126/scitranslmed.aac7328 · Cited by 340 · see citing works
The brain–computer interface cycle
van Gerven, M. A. J., Farquhar, J. D. R., Schaefer, R. S., Vlek, R. J., Geuze, J., Nijholt, A., Ramsey, N. F., Haselager, P., Vuurpijl, L. G., Gielen, S. C. A. M., et al. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/4/041001 · Cited by 328 · see citing works
Brain–computer interface in paralysis
Birbaumer, N., Ramos‐Murguialday, A., & Cohen, L. G. (2008) · Current Opinion in Neurology · doi:10.1097/wco.0b013e328315ee2d · Cited by 275 · see citing works
Self-citationAstroglial and Vascular Interactions of Noradrenaline Terminals in the Rat Cerebral Cortex
Cohen, Z., Molinatti, G., & Hamel, É. (1997) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199708000-00008 · Cited by 236 · see citing works
NIRS in clinical neurology — a ‘promising’ tool?
Obrig, H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.045 · Cited by 228 · see citing works
Learned regulation of brain metabolism
Birbaumer, N., Ruíz, S., & Sitaram, R. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.04.009 · Cited by 227 · see citing works
Self-citationNAITO, M., Michioka, Y., OZAWA, K., ITO, Y., Kiguchi, M., & KANAZAWA, T. (2007) · IEICE Transactions on Information and Systems · doi:10.1093/ietisy/e90-d.7.1028 · Cited by 218 · 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
Transition from the locked in to the completely locked-in state: A physiological analysis
Ramos‐Murguialday, A., Hill, J., Bensch, M., Martens, S., Halder, S., Nijboer, F., Schölkopf, B., Birbaumer, N., & Gharabaghi, A. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.08.019 · Cited by 184 · see citing works
Self-citationCommunication Support for People with ALS
Beukelman, D. R., Fager, S. K., & Nordness, A. S. (2011) · Neurology Research International · doi:10.1155/2011/714693 · Cited by 178 · see citing works
Brain communication in a completely locked-in patient using bedside near-infrared spectroscopy
Gallegos-Ayala, G., Furdea, A., Takano, K., Ruf, C. A., Flor, H., & Birbaumer, N. (2014) · Neurology · doi:10.1212/wnl.0000000000000449 · Cited by 143 · see citing works
Self-citationMcCane, L. M., Heckman, S. M., McFarland, D. J., Townsend, G., Mak, J. N., Sellers, E. W., Zeitlin, D., Tenteromano, L. M., Wolpaw, J. R., & Vaughan, T. M. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.01.013 · Cited by 141 · see citing works
A binary spelling interface with random errors
Perelmouter, J., & Birbaumer, N. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847824 · Cited by 124 · see citing works
Self-citationChou, S. M., & Norris, F. H. (1993) · Muscle & Nerve · doi:10.1002/mus.880160810 · Cited by 121 · see citing works
Better than random: A closer look on BCI results
Muller-Putz, G. R., Scherer, R., Brunner, C., Leeb, R., & Pfurtscheller, G. (2007) · Cited by 117 · see citing works
Brain-Machine Interface (BMI) in paralysis
Chaudhary, U., Birbaumer, N., & Curado, M. R. (2015) · Annals of Physical and Rehabilitation Medicine · doi:10.1016/j.rehab.2014.11.002 · Cited by 112 · see citing works
Self-citationMak, J. N., McFarland, D. J., Vaughan, T. M., McCane, L. M., Tsui, P. Z., Zeitlin, D., Sellers, E. W., & Wolpaw, J. R. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/2/026014 · Cited by 97 · see citing works
Quality of life in fatal disease: the flawed judgement of the social environment
Lulé, D. E., Ehlich, B., Lang, D., Sorg, S., Heimrath, J., Kübler, A., Birbaumer, N., & Ludolph, A. C. (2013) · Journal of Neurology · doi:10.1007/s00415-013-7068-y · Cited by 77 · see citing works
Self-citationBrain communication in the locked-in state
Massari, D. D., Ruf, C. A., Furdea, A., Matuz, T., van der Heiden, L., Halder, S., Silvoni, S., & Birbaumer, N. (2013) · Brain · doi:10.1093/brain/awt102 · Cited by 77 · see citing works
Self-citationDirect Brain Control and Communication in Paralysis
Birbaumer, N., Gallegos-Ayala, G., Wildgruber, M., Silvoni, S., & Soekadar, S. R. (2013) · Brain Topography · doi:10.1007/s10548-013-0282-1 · Cited by 76 · see citing works
Self-citationCipresso, P., Carelli, L., Solca, F., Meazzi, D., Meriggi, P., Poletti, B., Lulé, D. E., Ludolph, A. C., Silani, V., & Riva, G. (2012) · Brain and Behavior · doi:10.1002/brb3.57 · Cited by 72 · see citing works
Frontal activation and connectivity using near-infrared spectroscopy: Verbal fluency language study
Chaudhary, U., Hall, M., DeCerce, J., Rey, G. J. F. D., & Godavarty, A. (2011) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2011.01.002 · Cited by 57 · see citing works
Self-citationBrain–computer interfaces in the completely locked-in state and chronic stroke
Chaudhary, U., Birbaumer, N., & Ramos‐Murguialday, A. (2016) · Progress in brain research · doi:10.1016/bs.pbr.2016.04.019 · Cited by 54 · see citing works
Self-citationFailure to replicate visceral learning in the acute curarized rat preparation.
Dworkin, B. R., & Miller, N. E. (1986) · Behavioral Neuroscience · doi:10.1037//0735-7044.100.3.299 · Cited by 50 · see citing works
Failure to replicate visceral learning in the acute curarized rat preparation.
Dworkin, B. R., & Miller, N. E. (1986) · Behavioral Neuroscience · doi:10.1037/0735-7044.100.3.299 · Cited by 50 · see citing works
Neumann, N., Hinterberger, T., Kaiser, J., Leins, U., Birbaumer, N., & Kübler, A. (2003) · Clinical Neurophysiology · doi:10.1016/j.clinph.2003.10.030 · Cited by 49 · see citing works
Self-citationHigh cognitive function of an ALS patient in the totally locked-in state
Fuchino, Y., Nagao, M., Katura, T., Bando, M., Naitō, M., Maki, A., Nakamura, K., Hayashi, H., Koizumi, H., & Yoro, T. (2008) · Neuroscience Letters · doi:10.1016/j.neulet.2008.01.046 · Cited by 38 · see citing works
A new (semantic) reflexive brain–computer interface: In search for a suitable classifier
Furdea, A., Ruf, C. A., Halder, S., Massari, D. D., Bogdan, M., Rosenstiel, W., Matuz, T., & Birbaumer, N. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.09.013 · Cited by 37 · see citing works
Self-citationTheory of conditioning and of related phenomena.
Razran, H. S. (1930) · Psychological Review · doi:10.1037/h0075440 · Cited by 31 · see citing works
Fragmentation of Slow Wave Sleep after Onset of Complete Locked-In State
Soekadar, S. R., Jan Born, A., Birbaumer, N., Bensch, M., Halder, S., Ramos‐Murguialday, A., Gharabaghi, A., Nijboer, F., Schölkopf, B., & Martens, S. (2013) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.3002 · Cited by 26 · see citing works
Self-citationZaidi, A. D., Munk, M. H. J., Schmidt, A., Risueno-Segovia, C., Bernard, R., Fetz, E. E., Logothetis, N. K., Birbaumer, N., & Sitaram, R. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.019 · Cited by 18 · see citing works
Self-citationLearning from brain control: clinical application of brain–computer interfaces
Birbaumer, N., & Chaudhary, U. (2015) · e-Neuroforum · doi:10.1007/s13295-015-0015-x · Cited by 12 · see citing works
Self-citationIn memoriam: Johann (Giovanni) Kugler, MD (1923–2014)
Lücking, C. H., & Dengler, R. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.10.018 · Cited by 4 · see citing works
Flagged first, then by citations
1 of the 63 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- [2]Ball LJB. Duration of AAC technology use by persons with ALS. J Med Speech Lang Pathol. 2007; 15(4): 371.
- [32]Kübler a., Nijboer F, Mellinger J, Vaughan TM, Pawelzik H, Schalk G, et al Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface. Neurology. 2005; 64(10): 1775– 7. 10.1212/01.WNL.0000158616.43002.6D 15911809 · DOI · Paper page
- [37]Pavlov IP. Conditioned Reflexes. Oxford University Press 1927. 448 p.
Cited by
Sorted by citations
A comprehensive review of EEG-based brain–computer interface paradigms
Abiri, R., Borhani, S., Sellers, E. W., Jiang, Y., & Zhao, X. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aaf12e · Cited by 959 · see citing works
Brain‐computer interfaces for post‐stroke motor rehabilitation: a meta‐analysis
Cervera, M. A., Soekadar, S. R., Ushiba, J., Millán, J. D. R., Liu, M., Birbaumer, N., & Garipelli, G. (2018) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.544 · Cited by 580 · see citing works
Self-citationTherapeutic interventions in patients with prolonged disorders of consciousness
Thibaut, A., Schiff, N. D., Giacino, J. T., Laureys, S., & Gosseries, O. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30031-6 · Cited by 433 · see citing works
Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
Edelman, B. J., Meng, J., Suma, D., Zurn, C., Nagarajan, E., Baxter, B. S., Cline, C. C., & He, B. (2019) · Science Robotics · doi:10.1126/scirobotics.aaw6844 · Cited by 380 · see citing works
Lazarou, I., Nikolopoulos, S., Petrantonakis, P. C., Kompatsiaris, I. Y., & Tsolaki, M. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00014 · Cited by 340 · see citing works
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
Hong, K., Khan, M. J., & Hong, M. J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00246 · Cited by 287 · see citing works
Functional Near Infrared Spectroscopy: Enabling routine functional brain imaging
Yücel, M. A., Selb, J. J., Huppert, T. J., Franceschini, M. A., & Boas, D. A. (2017) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2017.09.011 · Cited by 218 · see citing works
Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis
Wolpaw, J. R., Bedlack, R. S., Reda, D. J., Ringer, R. J., Banks, P. G., Vaughan, T. M., Heckman, S. M., McCane, L. M., Carmack, C. S., Winden, S., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000005812 · Cited by 170 · see citing works
A systematic review on hybrid EEG/fNIRS in brain-computer interface
Liu, Z., Shore, J., Wang, M., Yuan, F., Buss, A. T., & Zhao, X. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102595 · Cited by 154 · see citing works
Characterization of EEG signals revealing covert cognition in the injured brain
Curley, W. H., Forgacs, P. B., Voss, H. U., Conte, M. M., & Schiff, N. D. (2018) · Brain · doi:10.1093/brain/awy070 · Cited by 144 · see citing works
Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals
Milekovic, T., Sarma, A. A., Bacher, D., Simeral, J. D., Saab, J., Pandarinath, C., Sorice, B. L., Blabe, C. H., Oakley, E. M., Tringale, K. R., et al. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00493.2017 · Cited by 142 · see citing works
Chiarelli, A. M., Zappasodi, F., Pompeo, F., & Merla, A. (2017) · Neurophotonics · doi:10.1117/1.nph.4.4.041411 · Cited by 131 · see citing works
Human brain connectivity: Clinical applications for clinical neurophysiology
Hallett, M., de Haan, W., Deco, G., Dengler, R., Iorio, R. D., Galléa, C., Gerloff, C. P., Grefkes, C., Helmich, R. C. G., Kringelbach, M. L., et al. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.03.031 · Cited by 118 · see citing works
Trakoolwilaiwan, T., Behboodi, B., Lee, J., Kim, K.-S., & Choi, J.-W. (2017) · Neurophotonics · doi:10.1117/1.nph.5.1.011008 · Cited by 116 · see citing works
Guger, C., Spataro, R., Allison, B. Z., Heilinger, A., Ortner, R., Cho, W., & Bella, V. L. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00251 · Cited by 115 · see citing works
Mind Reading and Writing: The Future of Neurotechnology
Roelfsema, P. R., Denys, D., & Klink, P. C. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.04.001 · Cited by 107 · see citing works
Neurolinguistics Research Advancing Development of a Direct-Speech Brain-Computer Interface
Cooney, C., Folli, R., & Coyle, D. (2018) · iScience · doi:10.1016/j.isci.2018.09.016 · Cited by 106 · see citing works
Kübler, A. (2019) · Neuroethics · doi:10.1007/s12152-019-09409-4 · Cited by 109 · see citing works
Shin, J., Kwon, J., & Im, C. (2018) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2018.00005 · Cited by 92 · see citing works
Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A Review
Khan, H., Naseer, N., Yazidi, A., Eide, P. K., Hassan, H. W., & Mirtaheri, P. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.613254 · Cited by 93 · see citing works
Brain–Computer Interfaces in Neurorecovery and Neurorehabilitation
Young, M. J., Lin, D. J., & Hochberg, L. R. (2021) · Seminars in Neurology · doi:10.1055/s-0041-1725137 · Cited by 89 · see citing works
Linse, K., Aust, E., Joos, M., & Hermann, A. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00603 · Cited by 74 · see citing works
Chaudhary, U., Mrachacz‐Kersting, N., & Birbaumer, N. (2020) · The Journal of Physiology · doi:10.1113/jp278775 · Cited by 86 · see citing works
Self-citationBrain-Machine Interfaces: Powerful Tools for Clinical Treatment and Neuroscientific Investigations
Slutzky, M. W. (2018) · The Neuroscientist · doi:10.1177/1073858418775355 · Cited by 84 · see citing works
The science and engineering behind sensitized brain-controlled bionic hands
Pandarinath, C., & Bensmaı̈a, S. J. (2021) · Physiological Reviews · doi:10.1152/physrev.00034.2020 · Cited by 76 · see citing works
Zafar, A., & Hong, K. (2018) · International Journal of Neural Systems · doi:10.1142/s0129065718500314 · Cited by 78 · see citing works
Existence of Initial Dip for BCI: An Illusion or Reality
Hong, K., & Zafar, A. (2018) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2018.00069 · Cited by 76 · see citing works
Brain-computer interfaces for communication
Vansteensel, M. J., & Jarosiewicz, B. (2020) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63934-9.00007-x · Cited by 67 · see citing works
Single-session communication with a locked-in patient by functional near-infrared spectroscopy
Abdalmalak, A., Milej, D. F., Norton, L. E., Debicki, D., Gofton, T. E., Diop, M., Owen, A. M., & Lawrence, K. S. (2017) · Neurophotonics · doi:10.1117/1.nph.4.4.040501 · Cited by 64 · see citing works
Han, C. H., Kim, Y.-W., Kim, D. Y., Kim, S. H., Nenadić, Z., & Im, C. (2019) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-019-0493-0 · Cited by 64 · see citing works
Butler, L. K., Kiran, S., & Tager-Flusberg, H. B. (2020) · American Journal of Speech-Language Pathology · doi:10.1044/2020_ajslp-19-00050 · Cited by 65 · see citing works
An algorithmic information theory of consciousness
Ruffini, G. (2017) · Neuroscience of Consciousness · doi:10.1093/nc/nix019 · Cited by 68 · see citing works
Online classification of imagined speech using functional near-infrared spectroscopy signals
Sereshkeh, A. R., Yousefi, R., Wong, A. T., & Chau, T. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aae4b9 · Cited by 62 · see citing works
Applications of electroencephalography in construction
Saedi, S., Fini, A. A. F., Khanzadi, M., Wong, J. K. W., Sheikhkhoshkar, M., & Banaei, M. (2021) · Automation in Construction · doi:10.1016/j.autcon.2021.103985 · Cited by 62 · see citing works
Rupawala, M., Dehghani, H., Lucas, S. J. E., Peter Tiňo, B., & Cruse, D. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00350 · Cited by 62 · see citing works
Klein, F. (2024) · Frontiers in Neuroergonomics · doi:10.3389/fnrgo.2024.1286586 · Cited by 64 · see citing works
Development of a ternary hybrid fNIRS-EEG brain–computer interface based on imagined speech
Sereshkeh, A. R., Yousefi, R., Wong, A. T., Rudzicz, F., & Chau, T. T. (2019) · Brain-Computer Interfaces · doi:10.1080/2326263x.2019.1698928 · Cited by 59 · see citing works
Brain–machine interfaces using functional near-infrared spectroscopy: a review
Hong, K., Ghafoor, U., & Khan, M. J. (2020) · Artificial Life and Robotics · doi:10.1007/s10015-020-00592-9 · Cited by 59 · see citing works
Cherloo, M. N., Amiri, H. K., & Daliri, M. R. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104546 · Cited by 57 · see citing works
A Bimodal Deep Learning Architecture for EEG-fNIRS Decoding of Overt and Imagined Speech
Cooney, C., Folli, R., & Coyle, D. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2021.3132861 · Cited by 56 · see citing works
Multiclass covert speech classification using extreme learning machine
Pawar, D., & Dhage, S. (2020) · Biomedical Engineering Letters · doi:10.1007/s13534-020-00152-x · Cited by 55 · see citing works
Paret, C., Zähringer, J., Ruf, M., Gerchen, M. F., Mall, S., Hendler, T., Schmahl, C. G., & Ende, G. (2018) · Human Brain Mapping · doi:10.1002/hbm.24057 · Cited by 52 · see citing works
Guger, C., Spataro, R., Pellas, F., Allison, B. Z., Heilinger, A., Ortner, R., Cho, W., Xu, R., Bella, V. L., Edlinger, G., et al. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00423 · Cited by 51 · see citing works
Matran-Fernandez, A., & Poli, R. (2017) · PLOS ONE · doi:10.1371/journal.pone.0178498 · Cited by 45 · see citing works
Arıcan, M., & Polat, K. (2020) · Journal of Artificial Intelligence and Systems · doi:10.33969/ais.2020.21003 · Cited by 47 · see citing works
Jeong, J.-H., Cho, J.-H., Lee, B.-H., & Lee, S. (2022) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2022.3211694 · Cited by 45 · see citing works
Fischer, P., Pogosyan, A. H., Cheeran, B., Green, A. L., Aziz, T. Z., Hyam, J. A., Little, S. J., Foltynie, T., Limousin, P. D., Zrinzo, L. U., et al. (2017) · Experimental Neurology · doi:10.1016/j.expneurol.2017.03.015 · Cited by 44 · see citing works
Future space missions and human enhancement: Medical and ethical challenges
Szocik, K., Shelhamer, M., Braddock, M., Cucinotta, F. A., Impey, C. D., Worden, P., Peters, T., Ćirković, M. M., Smith, K. C., Tachibana, K., et al. (2021) · Futures · doi:10.1016/j.futures.2021.102819 · Cited by 43 · see citing works
Maher, A., Qaisar, S. M., Salankar, N., Jiang, F., Tadeusiewicz, R., Pławiak, P., El‐Latif, A. A. A., & Hammad, M. A. (2023) · Journal of Applied Biomedicine · doi:10.1016/j.bbe.2023.05.001 · Cited by 43 · see citing works
Landau, O., Puzis, R., & Nissim, N. (2020) · ACM Computing Surveys · doi:10.1145/3372043 · Cited by 42 · see citing works
Phenomenology of the Locked-In Syndrome: an Overview and Some Suggestions
Vidal, F. (2018) · Neuroethics · doi:10.1007/s12152-018-9388-1 · Cited by 41 · see citing works
Conscious While Being Considered in an Unresponsive Wakefulness Syndrome for 20 Years
Vanhaudenhuyse, A., Charland‐Verville, V., Thibaut, A., Chatelle, C., Tshibanda, J., Maudoux, A., Faymonville, M.-É., Laureys, S., & Gosseries, O. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00671 · Cited by 39 · see citing works
A Robust Low-Cost EEG Motor Imagery-Based Brain-Computer Interface
Yohanandan, S. A. C., Kiral-Kornek, I., Tang, J., Mshford, B. S., Asif, U., & Harrer, S. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8513429 · Cited by 39 · see citing works
Iljina, O., Derix, J., Schirrmeister, R. T., Schulze‐Bonhage, A., Auer, P. L., Aertsen, A., & Ball, T. (2017) · Brain-Computer Interfaces · doi:10.1080/2326263x.2017.1330611 · Cited by 37 · see citing works
Long-term use of a neural prosthesis in progressive paralysis
Okahara, Y., Takano, K., Nagao, M., Kondo, K., Iwadate, Y., Birbaumer, N., & Kansaku, K. (2018) · Scientific Reports · doi:10.1038/s41598-018-35211-y · Cited by 36 · see citing works
Self-citationSosnik, R., & Zur, O. B. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab59a7 · Cited by 36 · see citing works
Advances in Stroke Neurorehabilitation
Gunduz, M. E., Bucak, B., & Keser, Z. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12216734 · Cited by 35 · see citing works
Li, T., Xue, T., Wang, B., & Zhang, J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00381 · Cited by 36 · see citing works
Farisco, M., Pennartz, C. M. A., Annen, J., Cecconi, B., & Evers, K. (2022) · BMC Medical Ethics · doi:10.1186/s12910-022-00770-3 · Cited by 33 · see citing works
Medical Decision Making by Patients in the Locked-in Syndrome
Bernat, J. L. (2018) · Neuroethics · doi:10.1007/s12152-018-9358-7 · Cited by 33 · see citing works
Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain–Computer Interfaces
Abibullaev, B., & Zollanvari, A. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2018.2883458 · Cited by 32 · see citing works
Questioning the evidence for BCI-based communication in the complete locked-in state
Spüler, M. (2019) · PLoS Biology · doi:10.1371/journal.pbio.2004750 · Cited by 30 · see citing works
Martínez-Cerveró, J., Khalili‐Ardali, M., Jaramillo-Gonzalez, A., Wu, S., Tonin, A., Birbaumer, N., & Chaudhary, U. (2020) · Sensors · doi:10.3390/s20092443 · Cited by 29 · see citing works
Self-citationWairagkar, M., Hayashi, Y., & Nasuto, S. J. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.660032 · Cited by 29 · see citing works
Learned control of inter-hemispheric connectivity: Effects on bimanual motor performance
Kajal, D. S., Braun, C., Mellinger, J., Sacchet, M. D., Ruíz, S., Fetz, E. E., Birbaumer, N., & Sitaram, R. (2017) · Human Brain Mapping · doi:10.1002/hbm.23663 · Cited by 29 · see citing works
Self-citationThe challenge of controlling an auditory BCI in the case of severe motor disability
Séguin, P., Maby, E., Fouillen, M., Otman, A., Luauté, J., Giraux, P., Morlet, D., & Mattout, J. (2024) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-023-01289-3 · Cited by 28 · see citing works
Interfacing with the nervous system: a review of current bioelectric technologies
Sahyouni, R., Mahmoodi, A., Chen, J. W., Chang, D. T., Moshtaghi, O., Djalilian, H. R., & Lin, H. W. (2017) · Neurosurgical Review · doi:10.1007/s10143-017-0920-2 · Cited by 27 · see citing works
Annen, J., Blandiaux, S., Lejeune, N., Bahri, M. A., Thibaut, A., Cho, W., Guger, C., Chatelle, C., & Laureys, S. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00370 · Cited by 27 · see citing works
A Low-Cost, Semi-Autonomous Wheelchair Controlled by Motor Imagery and Jaw Muscle Activation
Xiong, M., Brandenberger, A. M., Bulger, M., Chien, W., Doyle, A., Hao, W., Jiang, J., Kim, K., Lahlou, S., Leung, C., et al. (2019) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2019.8914544 · Cited by 27 · see citing works
Valente, G., Kaas, A. L., Formisano, E., & Goebel, R. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.080 · Cited by 27 · see citing works
Tonin, A., Jaramillo-Gonzalez, A., Rana, A., Khalili‐Ardali, M., Birbaumer, N., & Chaudhary, U. (2020) · Scientific Reports · doi:10.1038/s41598-020-65333-1 · Cited by 27 · see citing works
Self-citationBorgheai, S. B., Deligani, R. J., McLinden, J., Zisk, A. H., Hosni, S. I., Abtahi, M., Mankodiya, K., & Shahriari, Y. (2019) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab456c · Cited by 26 · see citing works
Poststroke Cognitive Impairment Research Progress on Application of Brain‐Computer Interface
Sun, X., Li, M., Li, Q., Yin, H.-N., Jiang, X., Li, H., Sun, Z., & Yang, T. (2022) · BioMed Research International · doi:10.1155/2022/9935192 · Cited by 27 · see citing works
Topographic Somatosensory Imagery for Real-Time fMRI Brain-Computer Interfacing
Kaas, A. L., Goebel, R., Valente, G., & Sorger, B. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00427 · Cited by 25 · see citing works
Hearing the needs of clinical users
Kübler, A., Nijboer, F., & Kleih, S. C. (2020) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63934-9.00026-3 · Cited by 25 · see citing works
Qing, K., Huang, R., & Hong, K. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.597864 · Cited by 24 · see citing works
Abdalmalak, A., Milej, D. F., Cohen, D. J. F., Anazodo, U., Ssali, T., Diop, M., Owen, A. M., & Lawrence, K. S. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2019.134607 · Cited by 24 · see citing works
Khalili‐Ardali, M., Rana, A., Purmohammad, M., Birbaumer, N., & Chaudhary, U. (2019) · Brain and Language · doi:10.1016/j.bandl.2019.05.004 · Cited by 21 · see citing works
Self-citationEyes-closed hybrid brain-computer interface employing frontal brain activation
Shin, J., Müller, K., & Hwang, H.-J. (2018) · PLoS ONE · doi:10.1371/journal.pone.0196359 · Cited by 21 · see citing works
A review of ethical considerations for the medical applications of brain-computer interfaces
Zhang, Z., Chen, Y., Zhao, X., Fan, W., Peng, D., Li, T., Zhao, L., & Fu, Y. (2024) · Cognitive Neurodynamics · doi:10.1007/s11571-024-10144-7 · Cited by 19 · see citing works
Covert Consciousness: Searching for Volitional Brain Activity in the Unresponsive
Edlow, B. L. (2018) · Current Biology · doi:10.1016/j.cub.2018.10.022 · Cited by 19 · see citing works
Sleep in the completely locked-in state (CLIS) in amyotrophic lateral sclerosis
Malekshahi, A., Chaudhary, U., Jaramillo-Gonzalez, A., Luna, A. L., Rana, A., Tonin, A., Birbaumer, N., & Gais, S. (2019) · SLEEP · doi:10.1093/sleep/zsz185 · Cited by 19 · see citing works
Self-citationGeneral principles of machine learning for brain-computer interfacing
Iturrate, I., Chavarriaga, R., & Millán, J. D. R. (2020) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63934-9.00023-8 · Cited by 22 · see citing works
Nizzi, M., Blandin, V., & Athena Demertzi, A. (2018) · Neuroethics · doi:10.1007/s12152-018-9375-6 · Cited by 18 · see citing works
Vigilance state fluctuations and performance using brain–computer interface for communication
Oken, B., Memmott, T., Eddy, B. S., Wiedrick, J. T., & Fried-Oken, M. B. (2018) · Brain-Computer Interfaces · doi:10.1080/2326263x.2019.1571356 · Cited by 18 · see citing works
Secco, A., Tonin, A., Rana, A., Jaramillo-Gonzalez, A., Khalili‐Ardali, M., Birbaumer, N., & Chaudhary, U. (2020) · Cognitive Neurodynamics · doi:10.1007/s11571-020-09639-w · Cited by 18 · see citing works
Self-citationThe brain-reading devices helping paralysed people to move, talk and touch
Drew, L. (2022) · Nature · doi:10.1038/d41586-022-01047-w · Cited by 17 · see citing works
Cooney, C., Folli, R., & Coyle, D. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104783 · Cited by 17 · see citing works
HD-EEG Based Classification of Motor-Imagery Related Activity in Patients With Spinal Cord Injury
Höller, Y., Thomschewski, A. C., Uhl, A., Bathke, A. C., Nardone, R., Leis, S., Trinka, E., & Höller, P. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00955 · Cited by 17 · see citing works
Brain Computer Interfaces for Assisted Communication in Paralysis and Quality of Life
Chaudhary, U., Chander, B. S., Ohry, A., Jaramillo-Gonzalez, A., Lulé, D. E., & Birbaumer, N. (2021) · International Journal of Neural Systems · doi:10.1142/s0129065721300035 · Cited by 17 · see citing works
Self-citationRETRACTED: Decoding thoughts, encoding ethics: A narrative review of the BCI-AI revolution
Rudroff, T. (2024) · Brain Research · doi:10.1016/j.brainres.2024.149423 · Cited by 18 · see citing works
RetractedCase series: Slowing alpha rhythm in late-stage ALS patients
Hohmann, M. R., Fomina, T., Jayaram, V., Emde, T., Just, J., Synofzik, M., Schölkopf, B., Schöls, L. J., & Grosse‐Wentrup, M. (2017) · Clinical Neurophysiology · doi:10.1016/j.clinph.2017.11.013 · Cited by 15 · see citing works
Minimizing electrodes for effective brain computer interface
Joseph, A. F. A., & Govindaraju, C. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2020.102201 · Cited by 14 · see citing works
An extended state of uncertainty: A snap-shot of expressions of concern in neuroscience
da Silva, J. A. T., & Yamada, Y. (2021) · Current Research in Behavioral Sciences · doi:10.1016/j.crbeha.2021.100045 · Cited by 15 · see citing works
Effects of Daily Stress in Mental State Classification
Park, S., & Dong, S.-Y. (2020) · IEEE Access · doi:10.1109/access.2020.3035799 · Cited by 14 · see citing works
Pinto-Orellana, M. A., Khan, H., Ombao, H., & Mirtaheri, P. (2024) · Data Science in Science · doi:10.1080/26941899.2024.2426785 · Cited by 13 · see citing works
Response to: “Questioning the evidence for BCI-based communication in the complete locked-in state”
Chaudhary, U., Pathak, S., & Birbaumer, N. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000063 · Cited by 13 · see citing works
Self-citationRetractedRandolph, A. B., Petter, S., Storey, V. C., & Jackson, M. M. (2021) · Information Systems Journal · doi:10.1111/isj.12337 · Cited by 13 · see citing works
Pires, G., Barbosa, S. M., Nunes, U., & Gonçalves, E. (2022) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2022.109661 · Cited by 13 · see citing works
Wei, M., & Lin, F. (2020) · International Journal of Intelligent Computing and Cybernetics · doi:10.1108/ijicc-02-2020-0019 · Cited by 13 · see citing works
- Authors
- Chaudhary, U., Xia, B., Silvoni, S., Cohen, L. G., & Birbaumer, N.
- Affiliations
- University of Tübingen (DE)
- Shanghai Maritime University (CN)
- Central Institute of Mental Health (DE)
- National Institutes of Health (US)
- IRCCS San Camillo Hospital (IT)
- Corresponding author
- Chaudhary, Ujwal
- Birbaumer, Niels
- Venue
- PLOS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-01-31
- Volume
- 15
- Issue
- 1
- Pages
- e1002593
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- PMC
- PMC5283652
- OpenAlex
- W2584955774
- Cited by
- 235
- References
- 63
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 16 · 2023: 6 · 2022: 17 · 2021: 44 · 2020: 30 · 2019: 40 · 2018: 50 · 2017: 20
- FWCI
- 21.98
- Type
- journal article
- Language
- en
- Status
- Retracted
- Update notices
- Open access
- gold
- doi.org
- Licence
- public-domain
- creativecommons.org/publicdomain/zero/1.0/ (vor)
- Locations
- PLoS Biology (publishedVersion, public-domain)
- Europe PMC (PubMed Central) (publishedVersion, public-domain)
- PubMed Central (publishedVersion, public-domain)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Deutsche Forschungsgemeinschaft (DFG, Bi195, Kosellek)
- Stiftung Volkswagenwerk
- Bundesministerium für Bildung und Forschung (MOTOR-BIC (FKZ 136W0053))
- Baden-Württemberg Stiftung (524-4013-16SV7196)
- National Natural Science Foundation of China (61550110252)
- EU grant LUMINOUS (686764)
- 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 › Epidemiology › Traumatic Brain Injury Research
- Keywords
- brain-computer interface, amyotrophic lateral sclerosis, functional near-infrared spectroscopy, motor learning, theta oscillations, EEG, electrooculography, support vector machine classification, motor paralysis
- MeSH terms
- Communication, Electroencephalography, Humans, Oxyhemoglobins, Quadriplegia, ROC Curve, Signal Processing, Computer-Assisted, Spectroscopy, Near-Infrared, Brain-Computer Interfaces
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
