Skip to main content
SleepCited

Revisiting brain iron deficiency in restless legs syndrome using magnetic resonance imaging.

Vincent Beliveau, Ambra Stefani, Christoph Birkl, Christian Kremser, Elke R Gizewski et al.
Meta-Analysis NeuroImage. Clinical 2022 14 citations
PubMed DOI
<\/script>\n
`; }, get iframeSnippet() { const domain = 'sleepcited.com'; const params = 'pmid\u003D35500370'; return ``; }, get activeSnippet() { return this.method === 'script' ? this.scriptSnippet : this.iframeSnippet; }, copySnippet() { navigator.clipboard.writeText(this.activeSnippet).then(() => { this.copied = true; setTimeout(() => { this.copied = false; }, 2000); }); } }" @keydown.escape.window="open = false" @click.outside="open = false">

Embed This Widget

Style



      
      
    

Widget powered by . Free, no account required.

Study Design

Study Type
Meta-Analysis
Sample Size
144
Population
RLS patients vs matched controls
Intervention
Revisiting brain iron deficiency in restless legs syndrome using magnetic resonance imaging. None
Comparator
None
Primary Outcome
Brain iron content via MRI in RLS
Effect Direction
Mixed
Risk of Bias
Unclear

Abstract

STUDY OBJECTIVES: Studies on brain iron content in restless legs syndrome (RLS) using magnetic resonance imaging (MRI) are heterogeneous. In this study, we sought to leverage the availability of a large dataset including a range of iron-sensitive MRI techniques to reassess the association between brain iron content and RLS with added statistical power and to compare these results to previous studies. METHODS: The relaxation rates R2, R2', and R2* and quantitative susceptibility are MRI parameters strongly correlated to iron content. In general, these parameters are sensitive to magnetic field variations caused by iron particles. These parameters were quantified within iron-rich brain regions using a fully automatized approach in a cohort of 72 RLS patients and individually age and gender-matched healthy controls identified from an existing dataset acquired at the Sleep Laboratory of the Department of Neurology, Medical University of Innsbruck. 3 T-MRI measures were corrected for age and volume of the segmented brain nuclei and results were compared with previous findings in a meta-analysis. RESULTS: In our cohort, RLS patients had increased R2* signal in the caudate and increased quantitative susceptibility signal in the putamen and the red nucleus compared to controls, suggesting increased iron content in these areas. The meta-analysis revealed no significant pooled effect across all brain regions. Furthermore, potential publication bias was identified for the substantia nigra. CONCLUSIONS: Normal and increased iron content of subcortical brain areas detected in this study is not in line with the hypothesis of reduced brain iron storage, but favors CSF investigations and post mortem studies indicating alteration of brain iron mobilization and homeostasis in RLS.

TL;DR

The results support the view that brain iron mobilization or homeostasis is impaired in RLS and suggest publication bias for results on the substantia nigra was found.

Used In Evidence Reviews

Similar Papers