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Sensorimotor Peak Alpha Frequency Is a Reliable Biomarker of Prolonged Pain Sensitivity

Andrew J. Furman, Mariya Prokhorenko, Michael L. Keaser, Jing Zhang, Shuo Chen, Ali Mazaheri, David A. Seminowicz

2020Cerebral Cortex117 citationsDOIOpen Access PDF

Abstract

Previous research has observed that the speed of alpha band oscillations (8-12 Hz range) recorded during resting electroencephalography is slowed in chronic pain patients. While this slowing may reflect pathological changes that occur during the chronification of pain, an alternative explanation is that healthy individuals with slower alpha oscillations are more sensitive to prolonged pain, and by extension, more susceptible to developing chronic pain. To test this hypothesis, we examined the relationship between the pain-free, resting alpha oscillation speed of healthy individuals and their sensitivity to two models of prolonged pain, Phasic Heat Pain and Capsaicin Heat Pain, at two visits separated by 8 weeks on average (n = 61 Visit 1, n = 46 Visit 2). We observed that the speed of an individual's pain-free alpha oscillations was negatively correlated with sensitivity to both models and that this relationship was reliable across short (minutes) and long (weeks) timescales. Furthermore, the speed of pain-free alpha oscillations can successfully identify the most pain sensitive individuals, which we validated on data from a separate, independent study. These results suggest that alpha oscillation speed is a reliable biomarker of prolonged pain sensitivity with potential for prospectively identifying pain sensitivity in the clinic.

Topics & Concepts

Alpha (finance)BiomarkerChronic painElectroencephalographyMedicineAnesthesiaPathologicalNeurosciencePhysical therapyInternal medicinePsychologyPsychiatryPsychometricsBiologyClinical psychologyBiochemistryConstruct validityPain Mechanisms and TreatmentsHeart Rate Variability and Autonomic ControlIon channel regulation and function