Evidence map›Paper›PMID 34362061›Full record

ArticleJournal of clinical medicine2021

Fibromyalgia Detection Based on EEG Connectivity Patterns.

Ramón Martín-Brufau, Manuel Nombela Gómez, Leyre Sanchez-Sanchez-Rojas, Cristina Nombela

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 11% 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.

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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  13. Can neural markers be used for fibromyalgia clinical management?Principles and practice of clinical research (2015)
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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

4 authors at 4 institutions in 1 country.

Ramón Martín-BrufauUnidad de Corta Estancia, Hospital Psiquiátrico Román Alberca, National Service of Health, 30120 Murcia, Spain.
Manuel Nombela GómezResearch Support Service, University of Murcia, 30100 Murcia, Spain.
Leyre Sanchez-Sanchez-RojasRegenerative Medicine and Advanced Therapies Lab., Instituto de Investigación Sanitaria San Carlos (IdIISC), Hospital Clínico San Carlos, 28040 Madrid, Spain.
Cristina NombelaBiological and Health Psychology, Autonomous University of Madrid (UAM), 28049 Madrid, Spain.ORCID 0000-0002-9806-2351
Instituto de Investigación Sanitaria del Hospital Clínico San Carlos · ESServicio Murciano de Salud · ESUniversidad Autónoma de Madrid · ESUniversidad de Murcia · ES

Funding

Boston Scientific Corporation BS_Iberica2021Ministerio de Ciencia, Innovación y Universidades RTI2018-097838-B-I00Universidad Autónoma de Madrid MIAS - UAM 2019
6 · The paper itself

Abstract

objectiveThe identification of a complementary test to confirm the diagnosis of FM. The diagnosis of fibromyalgia (FM) is based on clinical features, but there is still no consensus, so patients and clinicians might benefit from such a test. Recent findings showed that pain lies in neuronal bases (pain matrices) and, in the long term, chronic pain modifies the activity and dynamics of brain structures. Our hypothesis is that patients with FM present lower levels of brain activity and therefore less connectivity than controls.

methodsWe registered the resting state EEG of 23 patients with FM and compared them with 23 control subjects' resting state recordings from the PhysioBank database. We measured frequency, amplitude, and functional connectivity, and conducted source localization (sLORETA). ROC analysis was performed on the resulting data.

resultsWe found significant differences in brain bioelectrical activity at rest in all analyzed bands between patients and controls, except for Delta. Subsequent source analysis provided connectivity values that depicted a distinct profile, with high discriminative capacity (between 91.3-100%) between the two groups.

conclusionsPatients with FM show a distinct neurophysiological pattern that fits with the clinical features of the disease.

Indexed as

diagnosisEEGfast Fourier transformfibromyalgiaROC curve

Identifiers

PMID34362061
PMCPMC8348913
OpenAlexW3185058937

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.