The influence of central neuropathic pain in paraplegic patients on performance of a motor imagery based brain computer interface

Vuckovic, A., Hasan, M.A., Osuagwu, B., Fraser, M., Allan, D.B., Conway, B.A. and Nasseroleslami, B. (2015) The influence of central neuropathic pain in paraplegic patients on performance of a motor imagery based brain computer interface. Clinical Neurophysiology, 126(11), pp. 2170-2180. (doi: 10.1016/j.clinph.2014.12.033) (PMID:25698307)

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Publisher's URL: http://dx.doi.org/10.1016/j.clinph.2014.12.033

Abstract

<b>Objective</b> The aim of this study was to test how the presence of Central Neuropathic Pain (CNP) influences the performance of a motor imagery based Brain Computer Interface (BCI).<p></p> <b>Methods</b> In this electroencephalography (EEG) based study, we tested BCI classification accuracy and analysed event related desynchronisation (ERD) in 3 groups of volunteers during imagined movements of their arms and legs. The groups comprised of nine able-bodied people, ten paraplegic patients with CNP (lower abdomen and legs) and nine paraplegic patients without CNP. We tested two types of classifiers: a 3 channel bipolar montage and classifiers based on Common Spatial Patterns (CSPs), with varying number of channels and CSPs<p></p> <b>Results</b> Paraplegic patients with CNP achieved higher classification accuracy and had stronger ERD than paraplegic patients with no pain for all classifier configurations. Highest 2-class classification accuracy was achieved for CSP classifier covering wider cortical area: 82±7% for patients with CNP, 82±4% for able-bodied and 78±5% for patients with no pain.<p></p> <b>Conclusion</b> Presence of CNP improves BCI classification accuracy due to stronger and more distinct ERD.<p></p> <b>Significance</b> Results of the study show that CNP is an important confounding factor influencing the performance of motor imagery based BCI based on ERD.<p></p>

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Hasan, Mr Muhammad and Vuckovic, Dr Aleksandra
Authors: Vuckovic, A., Hasan, M.A., Osuagwu, B., Fraser, M., Allan, D.B., Conway, B.A., and Nasseroleslami, B.
College/School:College of Science and Engineering > School of Engineering > Biomedical Engineering
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Clinical Neurophysiology
Publisher:Elsevier
ISSN:1388-2457
ISSN (Online):1872-8952
Copyright Holders:Copyright © 2015 The Authors
First Published:First published in Clinical Neurophysiology 126(11):2170-2180
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
533931Neurofeedback for treatent of neuropathic pain in patients with spinal cord injuryAleksandra VuckovicMedical Research Council (MRC)G0902257ENG - BIOMEDICAL ENGINEERING