Prediction of central neuropathic pain in spinal cord injury based on EEG classifier.

Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
PMID: 29886266

Abstract

OBJECTIVES: To create a classifier based on electroencephalography (EEG) to identify spinal cord injured (SCI) participants at risk of developing central neuropathic pain (CNP) by comparing them with patients who had already developed pain and with able bodied controls.

Authors

  • Aleksandra Vuckovic
    Biomedical Engineering Division, University of Glasgow, Glasgow, UK. Electronic address: Aleksandra.vuckovic@glasgow.ac.uk.
  • Vicente Jose Ferrer Gallardo
    Biomedical Engineering Division, University of Glasgow, Glasgow, UK; Basque Center on Cognition, Brain and Language, Spain.
  • Mohammed Jarjees
    Biomedical Engineering Division, University of Glasgow, Glasgow, UK; Engineering Technical College of Mosul, The Northern Technical University, Mosul, Iraq.
  • Mathew Fraser
    Queen Elizabeth National Spinal Injuries Unit, Queen Elizabeth University Hospital, Glasgow, UK.
  • Mariel Purcell
    Queen Elizabeth National Spinal Injuries Unit, Queen Elizabeth University Hospital, Glasgow, UK.

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