Abstract
Pain is a complex phenomenon resulting from dynamic interactions between sensory, cognitive, and emotional processes1. Studying electroencephalography (EEG) signatures of chronic pain can give insights into brain mechanisms of chronic pain and help to characterize the interactions between these dimensions and consequently to develop chronic pain biomarkers. Previous research has showed slower brain oscillations during resting2 and shifts in alpha frequency correlated with pain duration in patients with chronic pain3. We aimed to investigate the resting-state EEG patterns as potential neural markers in chronic pain patients before undergoing Spinal Cord Stimulation (SCS) surgery.
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