The independence and predictivity of resting pain-free slow alpha frequency as a biomarker of pain: A reply to Mazaheri et al

Neuroimage. 2024 Aug 1:296:120681. doi: 10.1016/j.neuroimage.2024.120681. Epub 2024 Jun 8.

Abstract

In response to Mazaheri et al.'s critique, we revisited our study (Valentini et al., 2022) on the relationship between peak alpha frequency (PAF) and pain. Their commentary prompted us to reassess our data to address the independence between slow and slowing alpha brain oscillations, as well as the predictivity of slow alpha oscillations in pain perception. Bayesian correlation analyses revealed mixed support for independence. Investigating predictivity, we found inconsistent associations between pre-PAF and unpleasantness ratings. We critically reflected on methodological and theoretical issues on the path to PAF validation as a pain biomarker. We emphasized the need for diversified methodology and analytical approaches as well as robust findings across research groups.

MeSH terms

  • Alpha Rhythm* / physiology
  • Bayes Theorem
  • Biomarkers*
  • Brain / physiology
  • Electroencephalography / methods
  • Humans
  • Pain Perception / physiology
  • Pain* / physiopathology

Substances

  • Biomarkers