Bardin, J.C., J.J. Fins, et al. 2011. Dissociations between behavioural and functional magnetic resonance imaging-based evaluations of cognitive function after brain injury. Brain 134(Pt 3): 769–782.
Bianchi, L., S. Sami, et al. 2010. Which physiological components are more suitable for visual ERP based brain-computer interface? A preliminary MEG/EEG study. Brain Topography 23 (2): 180–185.
Birbaumer, N. 1997. Slow cortical potentials: Their origin, meaning, and clinical use. In Brain and behavior past, present, and future, ed. G.J.M. van Boxtel and K. Böcker, 25–39. Tilburg: Tilburg University Press.
Birbaumer, N. 2006. Breaking the silence: Brain-computer interfaces (BCI) for communication and motor control. Psychophysiology 43(6): 517–532.
Birbaumer, N., N. Ghanayim, et al. 1999. A spelling device for the paralysed. Nature 398(6725): 297–298.
Birbaumer, N., A. Kübler, et al. 2000. The thought translation device (TTD) for completely paralyzed patients. IEEE Transactions on Rehabilitation Engineering 8(2): 190–193.
Bruno, M.A., S. Majerus, et al. 2012. Functional neuroanatomy underlying the clinical subcategorization of minimally conscious state patients. Journal of Neurology 259(6):1087–98.
Chatelle, C., S. Chennu, et al. 2012. Brain-computer interfacing in disorders of consciousness. Brain Injury 26(12):1510–22.
Cruse, D., S. Chennu, et al. 2011. Bedside detection of awareness in the vegetative state. The Lancet 378(9809): 2088–2094.
Cruse, D., S. Chennu, et al. 2012. The relationship between aetiology and covert cognition in the minimally-conscious state. Neurology 78(11): 816–822.
Cruse, D., S. Chennu, et al. 2013. Response to: Reanalysis of ‘Bedside detection of awareness in the vegetative state: A cohort study’. The Lancet 381(9863): 291–292.
Elbert, T., B. Rockstroh, et al. 1980. Biofeedback of slow cortical potentials. I. Electroencephalography and Clinical Neurophysiology 48(3): 293–301.
Giacino, J., S. Ashwal, et al. 2002. The minimally conscious state: Definition and diagnostic criteria. Neurology 58(3): 349–353.
Goldfine, A.M., J.D. Victor, et al. 2011. Determination of awareness in patients with severe brain injury using EEG power spectral analysis. Clinical Neurophysiology 122(11):2157–68.
Goldfine, A.M., J.C. Bardin, et al. 2013. Reanalysis of Bedside detection of awareness in the vegetative state: A cohort study. The Lancet 381(9863): 289–291.
Gray, M., A.H. Kemp, et al. 2003. Cortical neurophysiology of anticipatory anxiety: An investigation utilizing steady state probe topography (SSPT). NeuroImage 20(2): 975–986.
Guger, C., G. Edlinger, et al. 2003. How many people are able to operate an EEG-based brain-computer interface (BCI)? IEEE Transactions on Neural Systems and Rehabilitation Engineering 11(2): 145–147.
Guger, C., S. Daban, et al. 2009. How many people are able to control a P300-based brain-computer interface (BCI)? Neuroscience Letters 462(1): 94–98.
Halder, S., M. Rea, et al. 2010. An auditory oddball brain-computer interface for binary choices. Clinical Neurophysiology 121(4): 516–523.
Hill, N.J., T.N. Lal, et al. 2006. Classifying EEG and ECoG signals without subject training for fast BCI implementation: Comparison of nonparalyzed and completely paralyzed subjects. IEEE Transactions on Neural Systems and Rehabilitation Engineering 14(2): 183–186.
Hoffmann, U., J.M. Vesin, et al. 2008. An efficient P300-based brain-computer interface for disabled subjects. Journal of Neuroscience Methods 167(1): 115–125.
Kaufmann, T., E. Hammer, et al. 2011. ERPs contributing to classification in the P300 BCI. In Proceedings of the 5th international brain-computer interface conference. Graz: Graz University of Technology.
Kübler, A., B. Kotchoubey, et al. 1999. The thought translation device: A neurophysiological approach to communication in total motor paralysis. Experimental Brain Research 124(2): 223–232.
Kübler, A., V.K. Mushahwar, et al. 2006. BCI meeting 2005–workshop on clinical issues and applications. IEEE Transactions on Neural Systems and Rehabilitation Engineering 14(2): 131–134.
Kübler, A., A. Furdea, et al. 2009. A brain-computer interface controlled auditory event-related potential (p300) spelling system for locked-in patients. Annals of the New York Academy of Sciences 1157: 90–100.
Laureys, S., G.G. Celesia, et al. 2010. Unresponsive wakefulness syndrome: A new name for the vegetative state or apallic syndrome. BMC Medicine 8: 68.
Lesenfants, D., N. Partoune, et al. 2011. Design of a novel covert SSVEP-based BCI. In Proceedings of the 5th international brain-computer interface conference. Graz: University of Technology Publishing House.
Lule, D., Q. Noirhomme, et al. 2013. Probing command following in patients with disorders of consciousness using a brain-computer interface. Clinical Neurophysiology 124: 101–106.
Monti, M.M., M.R. Coleman, et al. 2009. Executive functions in the absence of behavior: Functional imaging of the minimally conscious state. Progress in Brain Research 177: 249–260.
Monti, M.M., A. Vanhaudenhuyse, et al. 2010. Willful modulation of brain activity in disorders of consciousness. New England Journal of Medicine 362(7): 579–589.
Nakase-Richardson, R., S.A. Yablon, et al. 2009. Emergence from minimally conscious state: Insights from evaluation of posttraumatic confusion. Neurology 73(14): 1120–1126.
Neuper, C., R. Scherer, et al. 2005. Imagery of motor actions: Differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. Brain Research. Cognitive Brain Research 25(3): 668–677.
Owen, A.M., M.R. Coleman, et al. 2006. Detecting awareness in the vegetative state. Science 313 (5792): 1402.
Parini, S., L. Maggi, et al. 2009. A robust and self-paced BCI system based on a four class SSVEP paradigm: Algorithms and protocols for a high-transfer-rate direct brain communication. Computational Intelligence and Neuroscience 864564 doi:10.1155/2009/864564.
Perlstein, W.M., M.A. Cole, et al. 2003. Steady-state visual evoked potentials reveal frontally-mediated working memory activity in humans. Neuroscience Letters 342(3): 191–195.
Pfurtscheller, G., and F.H. Lopes da Silva. 1999. Event-related EEG/MEG synchronization and desynchronization: Basic principles. Clinical Neurophysiology 110(11): 1842–1857.
Pfurtscheller, G., C. Neuper, et al. 1997. EEG-based discrimination between imagination of right and left hand movement. Electroencephalography and Clinical Neurophysiology 103(6): 642–651.
Pham, M., T. Hinterberger, et al. 2005. An auditory brain-computer interface based on the self-regulation of slow cortical potentials. Neurorehabilitation and Neural Repair 19(3): 206–218.
Plum, F., and J. Posner. 1966. The diagnosis of stupor and coma. Philadelphia: F.A. Davis & Co.
Regan, D. 1966. Some characteristics of average steady-state and transient responses evoked by modulated light. Electroencephalography and Clinical Neurophysiology 20(3): 238–248.
Regan, D. 1989. Human brain electrophysiology: Evoked potentials and evoked magnetic fields in science and medicine. New York: Elsevier.
Schnakers, C., F. Perrin, et al. 2008. Voluntary brain processing in disorders of consciousness. Neurology 71: 1614–1620.
Schnakers, C., F. Perrin, et al. 2009. Detecting consciousness in a total locked-in syndrome: An active event-related paradigm. Neurocase 4: 1–7.
Vialatte, F.B., M. Maurice, et al. 2010. Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives. Progress in Neurobiology 90(4): 418–438.