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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:"Times New Roman",serif">Hi<o:p></o:p></span></p>
<p class="MsoBodyText"><span style="font-family:"Times New Roman",serif">Rehabilitation Engineering group at the School of Engineering, University of Glasgow is looking for applicants for 3.5 years funded project “<b>Electroencephalograph predictors of central
 neuropathic pain in subacute spinal cord injury”<o:p></o:p></b></span></p>
<p class="MsoBodyText"><span style="font-family:"Times New Roman",serif">Project abstract:<o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:12.0pt;font-family:"Garamond",serif;color:black">Central neuropathic pain (CNP) affects 7% of the general population and more than 50%
</span><span lang="EN-US" style="font-size:12.0pt;font-family:"Garamond",serif;color:#1F497D">of
</span><span lang="EN-US" style="font-size:12.0pt;font-family:"Garamond",serif;color:black">people with spinal cord injury (SCI). We propose to define how EEG markers of CNP evolve over time in SCI, starting before the onset of its physical symptoms. Early
 EEG markers will be used to identify the risk of each newly injured patient developing pain to recommend preventive treatment. The PI team have recently shown that multichannel EEG classification can predict the risk of pain with an average accuracy of 86%
 (https://www.ncbi.nlm.nih.gov/pubmed/29886266).<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:1.0cm"><span lang="EN-US" style="font-size:12.0pt;font-family:"Garamond",serif;color:black">In this project we propose to validate the EEG classifier and to optimize its performance.  The ultimate goal is to have a pain
 predictor based on a minimum number of EEG channels from key areas. In addition, a longitudinal study will reveal how spontaneous and evoked EEG markers evolve during the transition from subacute to chronic SCI CNP, improving our understanding of mechanisms.
</span><span style="font-size:12.0pt;font-family:"Garamond",serif;color:black"><o:p></o:p></span></p>
<p class="MsoBodyText"><span style="font-family:"Times New Roman",serif"><o:p> </o:p></span></p>
<p class="MsoNormal">Interested applications should contact:<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB">Dr Aleksandra Vuckovic, PhD Biomed Eng<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB">Senior Lecturer in Rehabilitation Engineering<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB">School of Engineering<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB">http://www.gla.ac.uk/schools/engineering/staff/aleksandravuckovic/<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB">Room 605<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB">James Watt (south) Building<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB">University of Glasgow<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB">Glasgow G12 8QQ<o:p></o:p></span></p>
<p class="MsoNormal"><span style="mso-fareast-language:EN-GB">Tel: +44(0)141 330 3251 | Fax: +44(0)141 330 4343<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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