Effects of Centrally Acting Analgesics on Resting-State Electroencephalography Biomarker Candidates of Chronic Pain
Paul Theo ZebhauseriD, Felix S. BottiD, Cristina Gil ÁvilaiD, Henrik HeitmanniD, Elisabeth S. MayiD, Laura TiemanniD, Enayatullah BakiiD, Thomas Rudolf TölleiD, Markus PloneriD
Abstract
Resting-state electroencephalography (rsEEG) holds promise as a biomarker of chronic pain. However, the impact of centrally acting analgesics like opioids, antiepileptics, and antidepressants on rsEEG remains unclear. This confounds and limits the interpretability of previous studies and questions the validity of rsEEG biomarker candidates of chronic pain. We, therefore, aimed to elucidate the effects of opioids, antiepileptics, and antidepressants on common rsEEG biomarker candidates of chronic pain. To this end, we analyzed two large, independent rsEEG datasets, including 220 people with chronic pain. We performed preregistered multivariate Bayesian analyses and controlled for the potential confounds of age, pain intensity, and depression. The results predominantly provided evidence against effects of centrally acting analgesics on peak alpha frequency, oscillatory power in different frequency bands, and connectivity-based network measures. Although these findings do not rule out any effects of analgesics on rsEEG, they argue against medium to large effects of centrally acting analgesics on rsEEG. Thus, the findings strengthen the validity of rsEEG biomarker candidates of chronic pain and might thereby help to develop clinically valuable biomarkers of chronic pain.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 7
- FWCI
- 4.47
- Field percentile
- top 6%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography
Son Ta Dinh, Moritz M. Nickel, … Markus Ploner·PainPeer-reviewed·Jul 22, 2019
- CREST: A Cortical Resting-State EEG Spatial Transformer for Chronic Pain Inference
Yasha Iravantchi, Edward W. Lannon, Sean Mackey·bioRxiv·Sep 1, 2026
- Assessing the balance between excitation and inhibition in chronic pain through the aperiodic component of EEG
Cristina Gil Ávila, Elisabeth S. May, … Markus Ploner·eLifePeer-reviewed·Jan 13, 2025
- Sensorimotor peak alpha frequency is a reliable biomarker of pain sensitivity
Andrew J. Furman, Mariya Prokhorenko, … David Anthony Seminowicz·Cerebral CortexPeer-reviewed·Apr 24, 2020
- Dynamics of brain function in chronic pain patients assessed by microstate analysis of resting-state electroencephalography
Elisabeth S. May, Cristina Gil Ávila, … Markus Ploner·PainPeer-reviewed·Apr 8, 2021
- Cortical 6-9 Hz Oscillation are a Reliable Biomarker of Persistent Pain in Rats
Andrew J. Furman, Charles Raver, … Asaf Keller·bioRxiv·Jan 2, 2020