ArticleNeuroradiology2023
Topological alterations in white matter structural networks in fibromyalgia.
Article in Neuroradiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled 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.
The trial behind it
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Who cites it
4 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Structural and Functional Neuroimaging Findings in Fibromyalgia: A Systematic Review.European journal of pain (London, England) · 2026Pooled it
- Brain network properties in chronic pain-a systematic review and meta-analysis of graph-based connectivity metrics.Frontiers in neuroscience · 2025Pooled it
- Resting-State Functional Connectivity Changes Associated With Post-Traumatic Stress and Anxiety Symptoms in North Korean Refugees.Psychiatry investigation · 2026Article
- Methodological Evolution of Diffusion MRI in Chronic Pain: A Narrative Review.Journal of pain research · 2026Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeNeuroimaging studies employing analyses dependent on regional assumptions and specific neuronal circuits could miss characteristics of whole-brain structural connectivity critical to the pathophysiology of fibromyalgia (FM). This study applied the whole-brain graph-theoretical approach to identify whole-brain structural connectivity disturbances in FM.
methodsThis cross-sectional study used probabilistic diffusion tractography and graph theory analysis to evaluate the topological organization of brain white matter networks in 20 patients with FM and 20 healthy controls (HCs). The relationship between brain network metrics and clinical variables was evaluated.
resultsCompared with HCs, FM patients had lower clustering coefficient, local efficiency, hierarchy, synchronization, and higher normalized characteristic path length. Regionally, patients demonstrated a significant reduction in nodal efficiency and centrality; these regions were mainly located in the prefrontal, temporal cortex, and basal ganglia. The network-based statistical analysis (NBS) identified decreased structural connectivity in a subnetwork of prefrontal cortex, basal ganglia, and thalamus in FM. There was no correlation between network metrics and clinical variables (false discovery rate corrected).
conclusionsThe current research demonstrated disrupted topological architecture of white matter networks in FM. Our results suggested compromised neural integration and segregation and reduced structural connectivity in FM.
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Identifiers
37851020What OpenQuestion holds
Registered trials
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