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 |
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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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