ArticleScientific reports2024
Alterations of the resting-state brain network connectivity and gray matter volume in patients with fibromyalgia in comparison to ankylosing spondylitis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Structural and Functional Neuroimaging Findings in Fibromyalgia: A Systematic Review.European journal of pain (London, England) · 2026Pooled it
- Brain morphometric alterations associated with degenerative scoliosis: a structural MRI study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Programmed Cell Death Ligand 1 Is Essential for Electroacupuncture-Mediated Analgesia in the Cerebellum of Fibromyalgia Mice.Biomedicines · 2026Article
- Machine learning for the diagnosis of fibromyalgia based on magnetic resonance imaging.PloS one · 2026Article
- Fractional Amplitude of Low-Frequency Fluctuations and Regional Homogeneity Analyses Revealed Altered Local Spontaneous Neural Activities in Ankylosing Spondylitis.Journal of pain research · 2025Article
- White and gray brain matter activity during pain in fibromyaliga patients and healthy controls.Brain communications · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
Fibromyalgia (FM) and ankylosing spondylitis (AS) are both rheumatic diseases characterized by significant musculoskeletal pain. In this study, we investigated the differences of the resting-state network (RSN) connectivity and gray matter volume (GMV) between FM, AS and healthy controls (HCs). We recruited 38 FM patients, 82 AS patients and 61 HCs in this study. All the participants underwent resting-state functional MRI (rs-fMRI) scans in a GE 3.0T MR system. Independent component analysis (ICA) was conducted on the rs-fMRI data, and group differences of the rsFC between different resting-state networks were calculated using dual regression. We also conducted voxel-based morphometry (VBM) analysis to investigate the differences of the GMV in FM, AS and HCs. The rsFC between the dorsal default mode network (DDMN) and the body of left caudate nucleus was significantly decreased in FM patients in comparison to AS patients (87 voxels, p = 0.025). VBM analysis showed that the GMV of the left posterior lobe of cerebellum was significantly increased in FM patients compared with AS patients (88 voxels, p = 0.036). Neither ICA nor VBM analysis revealed significant differences of RSN connectivity or GMV between FM patients and HCs. The altered rsFC between DMN and the caudate nucleus suggested an aberrant cortico-striato-thalamo-cortical circuit in FM patients, indicating aberrant reward processing, with potential association with mood, motivation and cognitive functions. The increased GMV in the left posterior lobe of cerebellum indicated the participation of cerebellum in the abnormal pain processing in FM patients.
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