ArticleEBioMedicine2025
Exploring electroencephalographic chronic pain biomarkers: a mega-analysis.
Article in EBioMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07756229 (Predictors of Response After Physiotherapy Treatment in People With Chronic Non-specific Neck Pain), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Predictors of Response After Physiotherapy Treatment in People With Chronic Non-specific Neck Pain
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Resting-state EEG activity in depression: a systematic review and meta-analysis.NeuroImage. Clinical · 2026Pooled it
- Electroencephalography research in neuropathic pain (Review).Molecular medicine reports · 2026Review
- From Oscillations to Brain States: Real-Time EEG-TMS for Adaptive Neuromodulation.Bioengineering (Basel, Switzerland) · 2026Review
- Chronic pain and oscillatory neuroplasticity: Review on impaired compensatory network responses in resting-state electroencephalography.Brain network disorders · 2026Article
- Neural encoding of pain is robust within but unstable between individuals.PLoS biology · 2026Article
- EEG-based clustering shows distinct separation of chronic pain patients before spinal cord stimulation surgery.NeuroImage · 2026Article
- Predicting Pain: Electroencephalography Signatures of Neural Integration During Experimental Tonic Thermal Pain.European journal of pain (London, England) · 2026Article
- Temporal Interference Stimulation of the Motor Cortex Produces Frequency-Dependent Analgesia.bioRxiv : the preprint server for biology · 2026Article
- Transcranial Alternating Current Stimulation for Pain: Mixed Evidence and the Path to Precision Neuromodulation.Brain sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
backgroundChronic pain is associated with alterations in brain function, offering promising avenues for advancing diagnostic and therapeutic strategies. In particular, these alterations may serve as brain-based biomarkers to support diagnosis, guide treatment decisions and monitor clinical courses of chronic pain.
methodsMotivated by this potential, this study analysed associations between chronic pain and changes of large-scale brain network function using resting-state electroencephalography (EEG) from 614 individuals with chronic pain, collected by research groups from Australia, Germany, Israel, New Zealand, and the US.
findingsEmploying a discovery-replication approach, we found limited replicability of associations between pain intensity and brain network connectivity. However, a mega-analysis combining all datasets revealed robust associations between pain intensity and large-scale brain network connectivity at theta frequencies and including the limbic network. Additionally, multivariate analyses identified connectivity patterns spanning theta, alpha, and beta frequencies with strong evidence for associations with pain intensity. Variations and ablations of model features yielded deeper insights into the relative importance of distinct electrophysiological brain features in assessing chronic pain.
interpretationOur findings highlight challenges and provide guidance for developing EEG-based, scalable, and affordable biomarkers of chronic pain.
fundingThis project was funded by the Deutsche Forschungsgemeinschaft and the Technical University of Munich.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.