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Using brain–computer interfaces to overcome the extinction of goal-directed thinking in minimally conscious state patients

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Abstract

Minimally conscious state (MCS) is a condition of severely altered consciousness, in which patients appear to be wakeful and exhibit fluctuating but reproducible signs of awareness. MCS patients do not respond and are therefore dependent on others. In agreement with the embodied cognition assumption that motor actions influence our cognition, the absence of movement and the decrease in consequences for any type of covert or overt response may cause an extinction of goal-directed thinking. Brain–computer interfaces, which allow a direct output without muscular involvement, may be used to promote goal-directed thinking by allowing the performance of spatial and motor imagery tasks and could facilitate the interaction of MCS patients with their environment, possibly regaining some degree of communication and autonomy.

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References

  • Anderson ML (2003) Embodied cognition: a field guide. Artifi Intell 149:91–130

    Article  Google Scholar 

  • Bernat JL (2006) Chronic disorders of consciousness. Lancet 367:1181–1192

    Article  PubMed  Google Scholar 

  • Birbaumer N (2006) Breaking the silence: brain–computer interfaces (BCI) for communication and motor control. Psychophysiology 43:517–532. doi:10.1111/j.1469-8986.2006.00456.x

    Article  PubMed  Google Scholar 

  • Birbaumer N, Cohen LG (2007) Brain–computer interfaces: communication and restoration of movement in paralysis. J Physiol 579:621–636. doi:10.1113/jphysiol.2006.125633

    Article  PubMed  CAS  Google Scholar 

  • Boly M, Coleman MR, Davis MH, Hampshire A, Bor D, Moonen G et al (2007) When thoughts become action: an fmri paradigm to study volitional brain activity in non-communicative brain injured patients. Neuroimage 36:979–992. doi:10.1016/j.neuroimage.2007.02.047

    Article  PubMed  CAS  Google Scholar 

  • Dworkin BR, Miller NE (1986) Failure to replicate visceral learning in the acute curarized rat preparation. Behav Neurosci 100:299–314

    Article  PubMed  CAS  Google Scholar 

  • Friedrich EV, Scherer R, Neuper C (2012) The effect of distinct mental strategies on classification performance for brain–computer interfaces. Int J Psychophysiol 84:86–94. doi:10.1016/j.ijpsycho.2012.01.014

    Article  PubMed  Google Scholar 

  • Giacino JT, Ashwal S, Childs N, Cranford R, Jennett B, Katz DI et al (2002) The minimally conscious state. Definition and diagnostic criteria. Am Acad Neurol 58:349–353

    Google Scholar 

  • Haggard P, Clark S, Kalogeras J (2002) Voluntary action and conscious awareness. Nat Neurosci 5:382–385

    Article  PubMed  CAS  Google Scholar 

  • Hinterberger T, Wilhelm B, Mellinger J, Kotchoubey B, Birbaumer N (2005) A device for the detection of cognitive brain functions in completely paralyzed or unresponsive patients. IEEE Trans Biomed Eng 52:211–220. doi:10.1109/TBME.2004.840190

    Article  PubMed  Google Scholar 

  • James W (1890) The principles of psychology. Holt, New York

    Book  Google Scholar 

  • Kotchoubey B, Lang S, Mezger G, Schmalohr D, Schneck M, Semmler A et al (2005) Information processing in severe disorders of consciousness: vegetative state and minimally conscious state. Clin Neurophysiol 116:2441–2453. doi:10.1016/j.clinph.2005.03.028

    Article  PubMed  CAS  Google Scholar 

  • Kübler A (2009). Brain–computer interfaces for communication in paralysed patients and implications for disorders of consciousness. In: Laureys S, Tononi G (eds) The neurology of consciousness, pp 217–234

  • Kübler A, Kotchoubey B (2007) Brain–computer interfaces in the continuum of consciousness. Curr Opin Neurol 20:643–649. doi:10.1097/WCO.0b013e3282f14782

    Article  PubMed  Google Scholar 

  • Owen AM, Coleman MR, Boly M, Davis MH, Laureys S, Pickard JD (2006) Detecting awareness in the vegetative state. Science 313:1402

    Article  PubMed  CAS  Google Scholar 

  • Pilon M, Sullivan SJ (1996) Motor profile of patients in minimally responsive and persistent vegetative states. Brain Inj 10:421–437

    Article  PubMed  CAS  Google Scholar 

  • Sitaram R, Caria A, Veit R, Gaber T, Rota G, Kuebler A et al. (2007a) Fmri brain–computer interface: a tool for neuroscientific research and treatment. Comput Intell Neurosci 25487. doi:10.1155/2007/25487

  • Sitaram R, Zhang H, Guan C, Thulasidas M, Hoshi Y, Ishikawa A et al (2007b) Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain–computer interface. Neuroimage 34:1416–1427. doi:10.1016/j.neuroimage.2006.11.005

    Article  PubMed  Google Scholar 

  • Sitaram R, Lee S, Ruiz S, Rana M, Veit R, Birbaumer N (2011) Real-time support vector classification and feedback of multiple emotional brain states. Neuroimage 56:753–765. doi:10.1016/j.neuroimage.2010.08.007

    Article  PubMed  Google Scholar 

  • Stins JF, Laureys S (2009) Thought translation, tennis and turing tests in the vegetative state. Phenom Cog Sci 8:361–370

    Article  Google Scholar 

  • Wolpaw JR, Birbaumer N, Heetderks WJ, McFarland DJ, Peckham PH, Schalk G et al (2000) Brain–computer interface technology: a review of the first international meeting. IEEE Trans Rehabil Eng 8:164–173

    Article  PubMed  CAS  Google Scholar 

  • Yoo SS, Fairneny T, Chen NK, Choo SE, Panych LP, Park H et al (2004) Brain–computer interface using fMRI: spatial navigation by thoughts. NeuroReport 15:1591–1595

    Article  PubMed  Google Scholar 

Download references

Conflict of interest

This supplement was not sponsored by outside commercial interests. It was funded entirely by ECONA, Via dei Marsi, 78, 00185 Roma, Italy.

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Correspondence to Giulia Liberati.

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Liberati, G., Birbaumer, N. Using brain–computer interfaces to overcome the extinction of goal-directed thinking in minimally conscious state patients. Cogn Process 13 (Suppl 1), 239–241 (2012). https://doi.org/10.1007/s10339-012-0497-1

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  • DOI: https://doi.org/10.1007/s10339-012-0497-1

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