Evidence map›Paper›PMID 39227893›Full record

ArticleBMC musculoskeletal disorders2024

Can electroencephalography (EEG) identify the different dimensions of pain in fibromyalgia? A pilot study.

Luam Diniz, Maíra Carneiro, André Fonseca, Lívia Shirahige, Rodrigo Brito, Lorena Melo, Daniel Melo, Marília Austregésilo, Daniele Piscitelli, Katia Monte-Silva

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC musculoskeletal disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05962658 (Electrophysiological Biomarkers of Persons With Fibromyalgia and Its Relation With the Sensitive-discriminative and Affective-motivational Dimensions of Pain), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT05962658 completednot on this map

Electrophysiological Biomarkers of Persons With Fibromyalgia and Its Relation With the Sensitive-discriminative and Affective-motivational Dimensions of Pain

TypeobservationalSponsorUniversidade Federal de PernambucoRan2021 to 2022Enrolled21ConditionsFibromyalgiaArmsqEEG
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

10 authors.

Luam DinizApplied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, PE, 50670-901, Brazil.
Maíra CarneiroApplied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, PE, 50670-901, Brazil.
André FonsecaCenter of Mathematics, Computation and Cognition, Universidade Federal do ABC, São Paulo, São Paulo, Brazil.
Lívia ShirahigeApplied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, PE, 50670-901, Brazil.
Rodrigo BritoApplied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, PE, 50670-901, Brazil.
Lorena MeloDepartment of Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors, Dortmund, Germany.
Daniel MeloApplied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, PE, 50670-901, Brazil.
Marília AustregésiloApplied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, PE, 50670-901, Brazil.
Daniele PiscitelliDoctor of Physical Therapy Program, Department of Kinesiology, University of Connecticut, 3107 Horsebarn Hill Road, U-4137, Storrs, CT, 06269-1101, USA. daniele.piscitelli@uconn.edu.
Katia Monte-SilvaApplied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, PE, 50670-901, Brazil.

Funding

CNPq 311224/2019-9Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001
6 · The paper itself

Abstract

backgroundElectroencephalography (EEG) is a promising tool for identifying the physiological biomarkers of fibromyalgia (FM). Evidence suggests differences in power band and density between individuals with FM and healthy controls. EEG changes appear to be associated with pain intensity; however, their relationship with the quality of pain has not been examined. We aimed to investigate whether abnormal EEG in the frontal and central points of the 10-20 EEG system in individuals with FM is associated with pain's sensory-discriminative and affective-motivational dimensions. The association between EEG and the two dimensions of emotional disorders (depression and anxiety) was also investigated.

methodsIn this cross-sectional pilot study, pain experience (pain rating index [PRI]) and two dimensions of emotional disorders (depression and anxiety) were assessed using the McGill Pain Questionnaire (PRI-sensory and PRI-affective) and Hospital Anxiety and Depression Scale (HADS), respectively. In quantitative EEG analysis, the relative spectral power of each frequency band (delta, theta, alpha, and beta) was identified in the frontal and central points during rest.

resultsA negative correlation was found between the relative spectral power for the delta bands in the frontal (r= -0.656; p = 0.028) and central points (r= -0.624; p = 0.040) and the PRI-affective scores. A positive correlation was found between the alpha bands in the frontal (r = 0.642; p = 0.033) and central points (r = 0.642; p = 0.033) and the PRI-affective scores. A negative correlation between the delta bands in the central points and the anxiety subscale of the HADS (r = -0.648; p = 0.031) was detected.

conclusionThe affective-motivational dimension of pain and mood disorders may be related to abnormal patterns of electrical activity in patients with FM.

trial registrationRetrospectively registered on ClinicalTrials.gov (NCT05962658).

Indexed as

AnxietyElectroencephalographyFibromyalgiaPain MeasurementAdultCross-Sectional StudiesDepressionFemaleHumansMaleMiddle AgedPainPilot ProjectsChronic painEEGElectroencephalogramFibromyalgiaMusculoskeletal disorders

Identifiers

PMID39227893
PMCPMC11370227

What OpenQuestion holds

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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.