Evidence map›Paper›PMID 40987579›Full record

ArticleThe Korean journal of pain2025

Major depressive disorder in fibromyalgia: novel insights from resting-state functional connectivity analysis.

Betina Franceschini Tocchetto, Álvaro De Oliveira Franco, Matheus Dorigatti Soldatelli, Nathalia Bianchini Esper, Iraci L S Torres, Felipe Fregni, Wolnei Caumo

Abstract read
In one paragraph

Article in The Korean journal of pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Betina Franceschini TocchettoPost-Graduate Program in Medical Sciences, School of Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.ORCID https://orcid.org/0000-0001-5363-3379
Álvaro De Oliveira FrancoPost-Graduate Program in Biological Sciences: Biochemistry, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.ORCID https://orcid.org/0000-0003-0601-6348
Matheus Dorigatti SoldatelliDepartment of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0002-1544-4398
Nathalia Bianchini EsperCenter for the Developing Brain, Child Mind Institute, New York, NY, USA.ORCID https://orcid.org/0000-0003-3218-9226
Iraci L S TorresPost-Graduate Program in Medical Sciences, School of Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.ORCID https://orcid.org/0000-0002-3081-115X
Felipe FregniLaboratory of Neuromodulation and Center for Clinical Research Learning, Physics and Rehabilitation Department, Spaulding Rehabilitation Hospital, Boston, MA, USA.ORCID https://orcid.org/0000-0002-1703-7526
Wolnei CaumoPost-Graduate Program in Medical Sciences, School of Medicine, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.ORCID https://orcid.org/0000-0002-5083-4658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fibromyalgia (FM) and major depressive disorder (MDD) frequently co-occur. This study investigated whether the differences in resting-state functional connectivity (rs-FC) of the emotion- and pain-related brain networks may differentiate FM patients with and without MDD and if these differences are associated with the severity of clinical symptoms, quality of life, recurrent depression, pain catastrophizing, and antidepressant use. Methods: In this study, the authors recruited a sample of 37 females classified as FM with MDD (FM + MDD, n = 23) or FM without MDD (FM-only, n = 14) based on the International Neuropsychiatric Interview. The severity of depressive symptoms was measured using the Beck Depression Inventory-II (BDI-II). Results: Age-adjusted rs-FC correlated significantly with BDI-II scores. FM + MDD patients showed increased rs-FC between the right ventral insula and left middle frontal gyrus (MFG) (χ²(1) = 5.54, Conclusions: Distinct neurofunctional patterns in regions related to emotional regulation and cognitive control of pain-marked by increased inter-hemispheric frontal and decreased intra-hemispheric limbic-cingulate connectivity-may serve as potential biomarkers to distinguish FM patients with comorbid MDD from those without.

Indexed as

BrainChronic PainDepressionFibromyalgiaFunctional NeuroimagingMagnetic Resonance ImagingNeural Pathways

Identifiers

PMID40987579
PMCPMC12485471

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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.