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Motor Imagery BCI with Auditory Feedback as a Mechanism for Assessment and Communication in Disorders of Consciousness

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Brain-Computer Interface Research

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

Abstract

Patients with disorders of consciousness (DoC) are difficult to assess both because of their unpredictable fluctuation of awareness and the current adopted scales, which have a poor prognostic reliability [1]. Individuals who are in a minimally conscious state (MCS) or vegetative state (VS), or with unresponsive wakefulness syndrome (UWS), may be incapable of providing volitional overt motor responses. This has resulted in a rate of 43% of patients who were diagnosed as having VS being reclassified as MCS after further assessment.

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Abbreviations

BCI:

Brain-computer interface

MCS:

Minimally conscious state

CRS-R:

Coma Recovery Scale Revised

VS:

Vegetative state

EEG:

Electroencephalography

SMR:

Sensorimotor rhythms

MI:

Motor imagery

DoC:

Disorders of consciousness

WHIM:

Wessex Head Index Measurement

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Acknowledgements

This work is partly funded by the UK Engineering and Physical Sciences Research Council and a Royal Academy of Engineering/The Leverhulme Trust Senior Research Fellowship.

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Authors and Affiliations

  1. Intelligent Systems Research Centre, Faculty of Computing and Engineering, Magee Campus, Ulster University, Northland Road, Derry, BT48 7JL, Northern Ireland, UK

    Damien Coyle, Karl McCreadie & Nadia Sciacca

  2. National Rehabilitation Hospital, Rochestown Avenue, Dun Laoghaire, Republic of Ireland

    Jacqueline Stow, Jacinta McElligott & Áine Carroll

Authors
  1. Damien Coyle
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  2. Jacqueline Stow
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  3. Karl McCreadie
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  4. Nadia Sciacca
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  5. Jacinta McElligott
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  6. Áine Carroll
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Corresponding author

Correspondence to Damien Coyle .

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Editors and Affiliations

  1. g.tec Guger Technologies OG , 4521 Schiedlberg, Austria

    Christoph Guger

  2. g.tec Guger Technologies OG, 4521 Schiedlberg, Austria

    Brendan Allison

  3. Biosciences and Informatics, Keio University Biosciences and Informatics, 223-8522 Yokohama, Kazagawa, Japan

    Junichi Ushiba

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Coyle, D., Stow, J., McCreadie, K., Sciacca, N., McElligott, J., Carroll, Á. (2017). Motor Imagery BCI with Auditory Feedback as a Mechanism for Assessment and Communication in Disorders of Consciousness. In: Guger, C., Allison, B., Ushiba, J. (eds) Brain-Computer Interface Research. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-57132-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-57132-4_5

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-57132-4

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