Evidence map›Paper›PMID 35322392›Full record

ReviewPain and therapy2022

EEG Recordings as Biomarkers of Pain Perception: Where Do We Stand and Where to Go?

Panagiotis Zis, Andreas Liampas, Artemios Artemiadis, Gabriela Tsalamandris, Panagiota Neophytou, Zoe Unwin, Vasilios K Kimiskidis, Georgios M Hadjigeorgiou, Giustino Varrassi, Yifan Zhao and 1 more

Abstract readReview
In one paragraph

Review in Pain and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–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

31 citing papers in PubMed.

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  14. A home-based EEG neurofeedback treatment for chronic neuropathic pain-a pilot study.Frontiers in pain research (Lausanne, Switzerland) · 2025
    Article
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  19. Observational
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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

11 authors.

Panagiotis ZisMedical School, University of Cyprus, Nicosia, Cyprus. takiszis@gmail.com.ORCID http://orcid.org/0000-0001-8567-3092
Andreas LiampasDepartment of Neurology, Nicosia General Hospital, Nicosia, Cyprus.
Artemios ArtemiadisMedical School, University of Cyprus, Nicosia, Cyprus.
Gabriela TsalamandrisMedical School, University of Cyprus, Nicosia, Cyprus.
Panagiota NeophytouDepartment of Neurology, Nicosia General Hospital, Nicosia, Cyprus.
Zoe UnwinDepartment of Clinical Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Vasilios K Kimiskidis1st Department of Neurology, AHEPA University Hospital, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Georgios M HadjigeorgiouMedical School, University of Cyprus, Nicosia, Cyprus.
Giustino VarrassiPaolo Procacci Foundation, Rome, Italy.
Yifan ZhaoSchool of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, UK.
Ptolemaios Georgios SarrigiannisMedical School, University of Sheffield, Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe universality and complexity of pain, which is highly prevalent, yield its significance to both patients and researchers. Developing a non-invasive tool that can objectively measure pain is of the utmost importance for clinical and research purposes. Traditionally electroencephalography (EEG) has been mostly used in epilepsy; however, over the recent years EEG has become an important non-invasive clinical tool that has helped increase our understanding of brain network complexities and for the identification of areas of dysfunction. This review aimed to investigate the role of EEG recordings as potential biomarkers of pain perception.

methodsA systematic search of the PubMed database led to the identification of 938 papers, of which 919 were excluded as a result of not meeting the eligibility criteria, and one article was identified through screening of the reference lists of the 19 eligible studies. Ultimately, 20 papers were included in this systematic review.

resultsChanges of the cortical activation have potential, though the described changes are not always consistent. The most consistent finding is the increase in the delta and gamma power activity. Only a limited number of studies have looked into brain networks encoding pain perception.

conclusionAlthough no robust EEG biomarkers of pain perception have been identified yet, EEG has potential and future research should be attempted. Designing strong research protocols, controlling for potential risk of biases, as well as investigating brain networks rather than isolated cortical changes will be crucial in this attempt.

Indexed as

BiomarkerEEGElectroencephalogramPainPerception

Identifiers

PMID35322392
PMCPMC9098726

What OpenQuestion holds

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Registered trials

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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.