Evidence map›Paper›PMID 39804154›Full record

ArticleeLife2025

Assessing the balance between excitation and inhibition in chronic pain through the aperiodic component of EEG.

Cristina Gil Avila, Elisabeth S May, Felix S Bott, Laura Tiemann, Vanessa Hohn, Henrik Heitmann, Paul Theo Zebhauser, Joachim Gross, Markus Ploner

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Cristina Gil AvilaDepartment of Neurology, TUM School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.ORCID https://orcid.org/0000-0003-3789-0644
Elisabeth S MayDepartment of Neurology, TUM School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.ORCID https://orcid.org/0000-0002-8558-6447
Felix S BottDepartment of Neurology, TUM School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.
Laura TiemannDepartment of Neurology, TUM School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.
Vanessa HohnDepartment of Neurology, TUM School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.
Henrik HeitmannDepartment of Neurology, TUM School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.
Paul Theo ZebhauserDepartment of Neurology, TUM School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.
Joachim GrossInstitute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany.ORCID https://orcid.org/0000-0002-3994-1006
Markus PlonerDepartment of Neurology, TUM School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany.ORCID https://orcid.org/0000-0002-7767-7170

Funding

Deutsche Forschungsgemeinschaft PL321/14-1Deutsche Forschungsgemeinschaft SFB1158Technical University of Munich Neurotech
6 · The paper itself

Abstract

Chronic pain is a prevalent and debilitating condition whose neural mechanisms are incompletely understood. An imbalance of cerebral excitation and inhibition (E/I), particularly in the medial prefrontal cortex (mPFC), is believed to represent a crucial mechanism in the development and maintenance of chronic pain. Thus, identifying a non-invasive, scalable marker of E/I could provide valuable insights into the neural mechanisms of chronic pain and aid in developing clinically useful biomarkers. Recently, the aperiodic component of the electroencephalography (EEG) power spectrum has been proposed to represent a non-invasive proxy for E/I. We, therefore, assessed the aperiodic component in the mPFC of resting-state EEG recordings in 149 people with chronic pain and 115 healthy participants. We found robust evidence against differences in the aperiodic component in the mPFC between people with chronic pain and healthy participants, and no correlation between the aperiodic component and pain intensity. These findings were consistent across different subtypes of chronic pain and were similarly found in a whole-brain analysis. Their robustness was supported by preregistration and multiverse analyses across many different methodological choices. Together, our results suggest that the EEG aperiodic component does not differentiate between people with chronic pain and healthy individuals. These findings and the rigorous methodological approach can guide future studies investigating non-invasive, scalable markers of cerebral dysfunction in people with chronic pain and beyond.

Indexed as

Chronic PainElectroencephalographyPrefrontal CortexAdultAgedFemaleHumansMaleMiddle AgedYoung Adultchronic painelectroencephalographyhumanneuroscience

Identifiers

PMID39804154
PMCPMC11729367

What Socratic holds

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Registered trials

None linked

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 Socratic graph.