Central Neuropathic Pain clinical trials

EEG Predictors of Neuropathic Pain in SCI

Spinal cord injury (SCI), induced by damage to the spinal cord, can cause life-altering levels of disability including the development of chronic pain. Central Neuropathic Pain (CNP) typically develops within months after injury in 40-50% of SCI patients, affecting everyday activity, sleep and mood. There is no cure for CNP, it can be very difficult to treat and is often refractory to any pharmacological treatments. In a previous study (study no. 14/WS/1029) the principle investigators showed that the likelihood of CNP developing can be predicted by defining characteristics of brain waves that are related to pain. We will use electroencephalograph (EEG) to measure brain activity in people early after SCI, before they develop pain, knowing that about half will develop pain within a year. We aim to recruit 80 participants, aged 18-80; 40 with subacute spinal injury (level C3-T12) and no symptoms of CNP; 20 with symptoms of CNP and 20 able-bodied participants. Completeness of injury is irrelevant. Patients will be recruited by clinical consultants within national spinal units in Glasgow and Stoke Mandeville. Patients will undergo two EEG recording sessions in which they will imagine movements while we record EEG. Sessions will also involve basic sensory testing and completion of questionnaires. Able-bodied participants will be recruited by the Philosophy Doctor (PhD) candidate at the University of Glasgow and undergo only one EEG session (identical to SCI patients). The primary aim of this study is to use early EEG markers of CNP to optimise and validate an existing computer program based on machine learning to enable more accurate prediction of pain in newly injured patients with the hope of aiding future treatments. Secondary aims include characterising EEG features which might describe different phases in patients' development of CNP and exploring possible differences between pain at/below the level of SCI based on EEG markers.