ArticleNeuroradiology2023
Functional disruptions of the brain network in low back pain: a graph-theoretical study.
Article in Neuroradiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Article
- Transcriptional signatures of aberrant brain functional network topology in chronic low back pain with lumbar disc herniation.Frontiers in molecular neuroscience · 2026Article
- 5.0 T MRI reveals characteristic alterations in visual and somatomotor networks associated with migraine chronification: a single-center prospective cohort study.The journal of headache and pain · 2025Article
- Topological properties of brain networks in patients with hemiplegic shoulder pain: a functional magnetic resonance imaging study.BMC neurology · 2025Article
- Cortical functional connectivity and topology based on complex network graph theory analysis during acute pain stimuli.Neurophotonics · 2025Article
- Abnormal brain functional networks in systemic lupus erythematosus: a graph theory, network-based statistic and machine learning study.Brain communications · 2025Article
- Abnormal intrinsic brain functional network dynamics in patients with postherpetic neuralgia.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
purposeThe aim of this study was to investigate alterations in the topological organization of whole-brain functional networks in patients with chronic low back pain (CLBP) and characterize the relationship of these alterations with pain characteristics.
methodsThirty-three CLBP patients and 34 matched healthy controls (HCs) underwent fMRI scans. A graph-theoretical approach was applied to identify brain network changes in patients suffering from chronic low back pain given its nonspecific etiology and complexity. Graph theory-based analysis was used to construct functional connectivity matrices and extract the features of small-world networks of the brain in both groups. Then, the whole-brain functional connectivity differences were characterized by network-based statistics (NBS) analysis, and the relationship between the altered brain features and clinical measures was explored.
resultsAt the global level, patients with CLBP showed significantly decreased gamma, sigma, global efficiency, and local efficiency and increased lambda and shortest path length compared with HCs. At the regional level, there were deficits in nodal efficiency within the default mode network and salience network. NBS analysis demonstrated that decreased functional connectivity was present in the CLBP patients, mainly in the frontolimbic circuit and temporal regions. Furthermore, aspects of topological dysfunctions in CLBP were correlated with pain severity.
conclusionThis study highlighted the aberrant topological organization of functional brain networks in CLBP, which may shed light on the pathophysiology of CLBP and support the development of pain management approaches.
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