Non-invasive EEG-based brain-computer interfaces in patients with disorders of consciousness

doi:10.1186/2054-9369-1-14

Review

. 2014 Jul 14:1:14.

doi: 10.1186/2054-9369-1-14. eCollection 2014.

Non-invasive EEG-based brain-computer interfaces in patients with disorders of consciousness

Emilia Mikołajewska¹, Dariusz Mikołajewski²

Affiliations

¹ Rehabilitation Department, Military Clinical Hospital No. 10 and Polyclinic, Powstańców Warszawy 5, Bydgoszcz, 85-681 Poland ; Disorders of Consciousness Research and Neurorehabilitation Unit, Neurocognitive Laboratory, Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland.
² Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland ; Department of Applied Informatics, Department of Physics, Astronomy and Applied Informatics, Nicolaus Copernicus University, Toruń, Poland ; Disorders of Consciousness Research and Neurorehabilitation Unit, Neurocognitive Laboratory, Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland.

PMID: 26056608
PMCID: PMC4459059
DOI: 10.1186/2054-9369-1-14

Review

Non-invasive EEG-based brain-computer interfaces in patients with disorders of consciousness

Emilia Mikołajewska et al. Mil Med Res. 2014.

. 2014 Jul 14:1:14.

doi: 10.1186/2054-9369-1-14. eCollection 2014.

Authors

Emilia Mikołajewska¹, Dariusz Mikołajewski²

Affiliations

¹ Rehabilitation Department, Military Clinical Hospital No. 10 and Polyclinic, Powstańców Warszawy 5, Bydgoszcz, 85-681 Poland ; Disorders of Consciousness Research and Neurorehabilitation Unit, Neurocognitive Laboratory, Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland.
² Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland ; Department of Applied Informatics, Department of Physics, Astronomy and Applied Informatics, Nicolaus Copernicus University, Toruń, Poland ; Disorders of Consciousness Research and Neurorehabilitation Unit, Neurocognitive Laboratory, Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University, Toruń, Poland.

PMID: 26056608
PMCID: PMC4459059
DOI: 10.1186/2054-9369-1-14

Abstract

Disorders of consciousness (DoCs) are chronic conditions resulting usually from severe neurological deficits. The limitations of the existing diagnosis systems and methodologies cause a need for additional tools for relevant patients with DoCs assessment, including brain-computer interfaces (BCIs). Recent progress in BCIs' clinical applications may offer important breakthroughs in the diagnosis and therapy of patients with DoCs. Thus the clinical significance of BCI applications in the diagnosis of patients with DoCs is hard to overestimate. One of them may be brain-computer interfaces. The aim of this study is to evaluate possibility of non-invasive EEG-based brain-computer interfaces in diagnosis of patients with DOCs in post-acute and long-term care institutions.

Keywords: Brain-computer interfaces; Disorders of consciousness; EEG-based BCIs; Neurological disorders.

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References

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[1] Demertzi A, Soddu A, Laureys S. Consciousness supporting networks. Curr Opin Neurobiol. 2012;23(2):239–44. doi: 10.1016/j.conb.2012.12.003. - DOI - PubMed

[2] Demertzi A, Soddu A, Laureys S. Consciousness supporting networks. Curr Opin Neurobiol. 2012;23(2):239–44. doi: 10.1016/j.conb.2012.12.003. - DOI - PubMed

[3] Vanhaudenhuyse A, Noirhomme Q, Tshibanda LJ, Bruno MA, Boveroux P, Schnakers C, Soddu A, Perlbarg V, Ledoux D, Brichant JF, Moonen G, Maquet P, Greicius MD, Laureys S, Boly M. Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients. Brain. 2010;133(Pt 1):161–171. doi: 10.1093/brain/awp313. - DOI - PMC - PubMed

[4] Vanhaudenhuyse A, Noirhomme Q, Tshibanda LJ, Bruno MA, Boveroux P, Schnakers C, Soddu A, Perlbarg V, Ledoux D, Brichant JF, Moonen G, Maquet P, Greicius MD, Laureys S, Boly M. Default network connectivity reflects the level of consciousness in non-communicative brain-damaged patients. Brain. 2010;133(Pt 1):161–171. doi: 10.1093/brain/awp313. - DOI - PMC - PubMed

[5] Mikołajewska E, Mikołajewski D. Consciousness disorders as the possible effect of brainstem activity failure - computational approach. J Health SS. 2012;2(2):7–18.

[6] Mikołajewska E, Mikołajewski D. Consciousness disorders as the possible effect of brainstem activity failure - computational approach. J Health SS. 2012;2(2):7–18.

[7] Boly M, Seth AK. Modes and models in disorders of consciousness science. Arch Ital Biol. 2012;150(2–3):172–84. - PubMed

[8] Boly M, Seth AK. Modes and models in disorders of consciousness science. Arch Ital Biol. 2012;150(2–3):172–84. - PubMed

[9] Machado C, Estévez M, Carrick FR, Rodríguez R, Pérez-Nellar J, Chinchilla M, Machado Y, Pérez-Hoz G, Carballo M, Fleitas M, Pando A. Vegetative state is a pejorative term. NeuroRehabilitation. 2012;31(4):345–347. - PubMed

[10] Machado C, Estévez M, Carrick FR, Rodríguez R, Pérez-Nellar J, Chinchilla M, Machado Y, Pérez-Hoz G, Carballo M, Fleitas M, Pando A. Vegetative state is a pejorative term. NeuroRehabilitation. 2012;31(4):345–347. - PubMed

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Non-invasive EEG-based brain-computer interfaces in patients with disorders of consciousness

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Non-invasive EEG-based brain-computer interfaces in patients with disorders of consciousness

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