Evidence map›Paper›PMID 26914356›Full record

SynthesisPloS one2016

Electroencephalographic Patterns in Chronic Pain: A Systematic Review of the Literature.

Eulália Silva dos Santos Pinheiro, Fernanda Costa de Queirós, Pedro Montoya, Cleber Luz Santos, Marion Alves do Nascimento, Clara Hikari Ito, Manuela Silva, David Barros Nunes Santos, Silvia Benevides, José Garcia Vivas Miranda and 2 more

3 registry-linked trialsOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 123 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 6 pooled it
9.5field-weighted citation impact, top 2% of its field
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.

NCT03032497 nacompletednot on this mapstarted 2017, after this paper: background citation

Feasibility of a Brain-Computer Interface (BCI)-Based Adaptive Sensing and Feedback for Chronic Pain Management

TypeinterventionalSponsorTan Tock Seng HospitalRan2017 to 2019Enrolled25ConditionsPain, ChronicArmsEEG-based BCI analysis of fear avoidance
NCT03239938 nacompletednot on this mapstarted 2017, after this paper: background citation

Contemporary Pain Neuroscience Compared to Usual Care Evidence-based Physiotherapy Applied to Chronic Pain in Patients With Chronic Whiplash Associated Disorders: Can we Decrease Central Sensitization?

TypeinterventionalSponsorVrije Universiteit BrusselRan2017 to 2022Enrolled120ConditionsWhiplashArmsModern pain neuroscience approach, Usual care evidence-based physiotherapy
NCT04204525 completednot on this mapstarted 2020, after this paper: background citation

Evidence for Central Sensitization in Patients With Chronic Whiplash Associated Disorders Based on Self-reported Outcomes of Pain (Beliefs), Disability, Central Sensitization, Quantitative Sensory Testing, and Electro-encephalography.

Typeobservational_patient_registrySponsorUniversity GhentRan2020 to 2021Enrolled120ConditionsWhiplashArmsQuantitative sensory testing
3 · Its place in the literature

Who cites it

123 citing papers in PubMed, 6 syntheses or guidelines pooled it, 258 citations in OpenAlex.

  1. Potential applications of artificial intelligence in pain management: a scoping review.Frontiers in pain research (Lausanne, Switzerland) · 2026
    Pooled it
  2. State of the art in EEG signal features of mindfulness-based treatments for chronic pain.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Pooled it
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  6. The association between visual impairment and fatigue: a systematic review and meta-analysis of observational studies.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2019
    Pooled it
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  13. Decreased neural inhibitory state in fibromyalgia pain: A cross-sectional study.Neurophysiologie clinique = Clinical neurophysiology · 2020
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  16. Review
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63 more citing papers are in PubMed but not listed here.

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

12 authors at 2 institutions in 2 countries.

Eulália Silva dos Santos PinheiroGraduate Program on Medicine and Health, School of Medicine, Federal University of Bahia, Salvador-BA, Brazil.
Fernanda Costa de QueirósLaboratory of Functional Electrostimulation, Institute of Health Sciences, Federal University of Bahia, Salvador-BA, Brazil.
Pedro MontoyaResearch Institute on Health Sciences, University of Balearic Islands, Palma de Majorca, Spain.
Cleber Luz SantosLaboratory of Functional Electrostimulation, Institute of Health Sciences, Federal University of Bahia, Salvador-BA, Brazil.
Marion Alves do NascimentoGraduate Program on Medicine and Health, School of Medicine, Federal University of Bahia, Salvador-BA, Brazil.
Clara Hikari ItoGraduate Program on Medicine and Health, School of Medicine, Federal University of Bahia, Salvador-BA, Brazil.
Manuela SilvaGraduate Program on Medicine and Health, School of Medicine, Federal University of Bahia, Salvador-BA, Brazil.
David Barros Nunes SantosLaboratory of Functional Electrostimulation, Institute of Health Sciences, Federal University of Bahia, Salvador-BA, Brazil.
Silvia BenevidesLaboratory of Functional Electrostimulation, Institute of Health Sciences, Federal University of Bahia, Salvador-BA, Brazil.
José Garcia Vivas MirandaInstitute of Physics, Federal University of Bahia, Salvador-BA, Brazil.
Katia Nunes SáLaboratory of Functional Electrostimulation, Institute of Health Sciences, Federal University of Bahia, Salvador-BA, Brazil.
Abrahão Fontes BaptistaGraduate Program on Medicine and Health, School of Medicine, Federal University of Bahia, Salvador-BA, Brazil.
Universidade Federal da Bahia · BRResearch Institute of Health Sciences · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main objective of this study is to review and summarize recent findings on electroencephalographic patterns in individuals with chronic pain. We also discuss recent advances in the use of quantitative Electroencephalography (qEEG) for the assessment of pathophysiology and biopsychosocial factors involved in its maintenance over time. Data collection took place from February 2014 to July 2015 in PubMed, SciELO and PEDro databases. Data from cross-sectional studies and longitudinal studies, as well as clinical trials involving chronic pain participants were incorporated into the final analysis. Our primary findings related to chronic pain were an increase of theta and alpha EEG power at rest, and a decrease in the amplitude of evoked potentials after sensory stimulation and cognitive tasks. This review suggests that qEEG could be considered as a simple and objective tool for the study of brain mechanisms involved in chronic pain, as well as for identifying the specific characteristics of chronic pain condition. In addition, results show that qEEG probably is a relevant outcome measure for assessing changes in therapeutic studies.

Indexed as

Chronic PainElectroencephalographyHumansQuality Control

Identifiers

PMID26914356
PMCPMC4767709
OpenAlexW2286885776

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.