ReviewJournal of clinical neurology (Seoul, Korea)2022
Alterations of Functional Connectivity in Patients With Restless Legs Syndrome.
Review in Journal of clinical neurology (Seoul, Korea), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Neuromodulation for Restless Legs Syndrome: A Systematic Review and Mechanistic Considerations for Spinal Cord Stimulation.Sleep & breathing = Schlaf & Atmung · 2026Pooled it
- Restless Legs Syndrome: A Network Model of Iron-Dependent Neuromodulation-A Narrative Review.Brain sciences · 2026Review
- Neural Correlates of Restless Legs Syndrome (RLS) Based on Electroencephalogram (EEG)-A Mechanistic Review.International journal of molecular sciences · 2025Review
- Altered intrinsic thalamic network based on electroencephalography source-level analysis in poststroke epilepsy.Medicine · 2025Observational
- Multilayer network analysis in patients with end-stage kidney disease.Scientific reports · 2024Article
- A Comparative Investigation of Functional Connectivity Utilizing Electroencephalography in Insomnia Patients with and without Restless Leg SyndromeClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 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
- Structural connectivity as a predictive factor for responsiveness to levetiracetam treatment in epilepsy.Neuroradiology · 2024Article
- Involvement of the default mode network in patients with transient global amnesia: multilayer network.Neuroradiology · 2023Article
- Correlation of Diffusion Tensor Tractography with Restless Legs Syndrome Severity.Brain sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 8 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Restless legs syndrome (RLS) is a common neurological illness marked by a strong desire to move one's legs, usually in association with uncomfortable sensations. Recent studies have investigated brain networks and connectivity in RLS. The advent of network analysis has greatly improved our understanding of the brain and various neurological disorders. A few studies have investigated alterations in functional connectivity in patients with RLS. This article reviews functional connectivity studies of patients with RLS, which have identified significant alterations relative to healthy controls in several brain networks including thalamic, salience, default-mode, and small-world networks. In addition, network changes related to RLS treatment have been found, including to repetitive transcranial magnetic stimulation, transcutaneous spinal cord direct-current stimulation, and dopaminergic drugs. These findings suggest that the underlying pathogenesis of RLS includes alterations in the functional connectivity in the brain and that RLS is a network disorder.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.