Peak alpha frequency differs between chronic back pain and chronic widespread pain

Abstract

BackgroundLow peak alpha frequency (PAF) is an electroencephalography (EEG) outcome associated reliably with high acute pain sensitivity. However, existing research suggests that the relationship between PAF and chronic pain is more variable. This variability could be attributable to chronic pain groups typically being examined as homogenous populations, without consideration being given to potential diagnosis‐specific differences. Indeed, while emerging work has compared individuals with chronic pain to healthy controls, no previous studies have examined differences in PAF between diagnoses or across chronic pain subtypes.MethodsTo address this gap, we reanalysed a dataset of resting state EEG previously used to demonstrate a lack of difference in PAF between individuals with chronic pain and healthy controls. In this new analysis, we separated patients by diagnosis before comparing PAF across three subgroups: chronic widespread pain (n = 30), chronic back pain (n = 38), and healthy controls (n = 87).ResultsWe replicate the original finding of no significant difference between chronic pain groups and controls, but also find that individuals with widespread pain had significantly higher global average PAF values than those of people with chronic back pain [p = 0.028, β = 0.25 Hz] after controlling for age, sex, and depression.ConclusionsThese novel findings reveal PAF values in individuals with chronic pain may be diagnosis‐specific and not uniformly shifted from the values of healthy controls. Future studies should account for diagnosis and be cautious with exploring homogenous ‘chronic pain’ classifications during investigations of PAF.SignificanceOur work suggests that, contrary to previous hypotheses, inter‐individual differences in PAF reflect diagnosis‐specific mechanisms rather than the general presence of chronic pain, and therefore may have important implications for future work regarding individually‐tailored pain management strategies.