Major depressive disorder in fibromyalgia: novel insights from resting-state functional connectivity analysis
Year: 2025
Type: article
Study design: Observational Study
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: < 0.001, ES = 0.90). Increased rs-FC between the ventral insula and MFG was positively associated with recurrent MDD and pain catastrophizing, and negatively with FM-related quality of life. The connection between the left MFG and the right posterior parietal thalamus is associated with recurrent MDD and pain catastrophizing. 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.
Source: The Korean journal of pain
DOI: 10.3344/kjp.25137
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
Funders: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Hospital de Clínicas de Porto Alegre, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, Financiadora de Estudos e Projetos, Fundação Instituto de Pesquisas Econômicas
OpenAlex ID: W4414485317
