ArticleSleep2022
Structural brain connectivity in patients with restless legs syndrome: a diffusion tensor imaging study.
Article in Sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Beyond the Homunculus-SCAN-AMN as a Shared Action-Oriented Neural Substrate across Movement Disorders.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- A survey-based approach on restless legs syndrome: practices and perspectives among Italian neurologists.Journal of neurology · 2024Article
- Difference in functional connectivity between end-stage renal disease patients with and without restless legs syndrome: A prospective study.Sleep & breathing = Schlaf & Atmung · 2024Article
- From brain to spinal cord: neuromodulation by direct current stimulation and its promising effects as a treatment option for restless legs syndrome.Frontiers in neurology · 2024Review
- Acupuncture treatment of restless legs syndrome: a randomized clinical controlled study protocol based on PET-CT and fMRI.Frontiers in psychiatry · 2024Article
- Structural connectivity as a predictive factor for responsiveness to levetiracetam treatment in epilepsy.Neuroradiology · 2024Article
- Correlation of Diffusion Tensor Tractography with Restless Legs Syndrome Severity.Brain sciences · 2023Article
- White matter microstructure alterations in idiopathic restless legs syndrome: a study combining crossing fiber-based and tensor-based approaches.Frontiers in neuroscience · 2023Article
- Advanced network neuroimaging as an approach to unravel the pathophysiology of restless legs syndrome.Sleep · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectivesTo evaluate alterations of global and local structural brain connectivity in patients with restless legs syndrome (RLS).
methodsPatients with primary RLS and healthy controls were recruited at a sleep center where they underwent diffusion tensor imaging (DTI) of the brain. We calculated the network measures of global and local structural brain connectivity based on the DTI in both groups using DSI studio program and a graph theory.
resultsA total of 69 patients with primary RLS and 51 healthy controls were included in the study. We found a significant difference in the global structural connectivity between the groups. The transitivity in the patients with RLS was lower than that in healthy controls (0.031 vs. 0.033, p = 0.035). Additionally, there were significant differences in the local structural connectivity between the groups. The characteristic path length (r = 0.283, p = 0.018), radius of graph (r = 0.260, p = 0.030), and diameter of graph (r = 0.280, p = 0.019) were all positively correlated with RLS severity, whereas the mean clustering coefficient (r = -0.327, p = 0.006), global efficiency (r = -0.272, p = 0.023), small-worldness index (r = -0.325, p = 0.006), and transitivity (r = -0.351, p = 0.003) were negatively correlated with RLS severity.
conclusionWe identified changes in the global structural connectivity of patients with RLS using graph theory based on DTI, which showed decreased segregation in the brain network compared to healthy controls. These changes are well correlated with RLS severity. We also found changes in local structural connectivity, especially in regions involved in sensorimotor function, which suggests that these areas play a pivotal role in RLS. These findings contribute to a better understanding of the pathophysiology of RLS symptoms.
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