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Brain-computer interfacing in disorders of consciousness

Chatelle, Camille, Chennu, Srivas, Noirhomme, Quentin, Cruse, Damian, Owen, Adrian M., Laureys, Steven (2012) Brain-computer interfacing in disorders of consciousness. Brain Injury, 26 (12). pp. 1510-1522. ISSN 0269-9052. E-ISSN 1362-301X. (doi:10.3109/02699052.2012.698362) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:54648)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
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Background: Recent neuroimaging research has strikingly demonstrated the existence of covert awareness in some patients with disorders of consciousness (DoC). These findings have highlighted the potential for the development of simple brain–computer interfaces (BCI) as a diagnosis in behaviourally unresponsive patients.

Objectives: This study here reviews current EEG-based BCIs that hold potential for assessing and eventually assisting patients with DoC. It highlights key areas for further development that might eventually make their application feasible in this challenging patient group.

Methods: The major types of BCIs proposed in the literature are considered, namely those based on the P3 potential, sensorimotor rhythms, steady state oscillations and slow cortical potentials. In each case, a brief overview of the relevant literature is provided and then their relative merits for BCI applications in DoC are considered.

Results: A range of BCI designs have been proposed and tested for enabling communication in fully conscious, paralysed patients. Although many of these have potential applicability for patients with DoC, they share some key challenges that need to be overcome, including limitations of stimulation modality, feedback, user training and consistency.

Conclusion: Future work will need to address the technical and practical challenges facing reliable implementation at the patient's bedside.

Item Type: Article
DOI/Identification number: 10.3109/02699052.2012.698362
Uncontrolled keywords: Vegetative state, unresponsive wakefulness syndrome, minimally conscious state, electroencephalography, command following, communication
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Srivas Chennu
Date Deposited: 13 Apr 2016 09:42 UTC
Last Modified: 16 Nov 2021 10:22 UTC
Resource URI: (The current URI for this page, for reference purposes)
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