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Related Concept Videos

Restless Leg Syndrome and Night Terrors01:27

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183
Restless Leg Syndrome (RLS), also known as Willis-Ekbom disease, is a neurological disorder characterized by an uncontrollable urge to move the legs due to uncomfortable sensations. These sensations typically occur during periods of rest or inactivity, particularly when lying down or sitting, and can severely disrupt sleep.
The exact cause of RLS is not fully understood, but it is believed to involve dopamine, a neurotransmitter that helps regulate muscle movement. Imbalances in dopamine levels...
183

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Structural and functional multilayer network analysis in restless legs syndrome patients.

Kang Min Park1, Keun Tae Kim2, Dong Ah Lee1

  • 1Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea.

Journal of Sleep Research
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Summary

Restless Legs Syndrome (RLS) shows altered brain network interactions between structural and functional connectivity. Multilayer network analysis revealed reduced multiplex participation in RLS patients, particularly in frontal and temporal regions.

Keywords:
functional neuroimagingmagnetic resonance imagingmultilayer network analysisrestless legs syndrome

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Area of Science:

  • Neuroscience
  • Systems Neuroscience
  • Medical Imaging

Background:

  • Brain organization is understood through structural and functional connectivity.
  • Multilayer network analysis examines complex relationships within systems.
  • Restless Legs Syndrome (RLS) is a neurological disorder affecting movement.

Purpose of the Study:

  • To investigate structural and functional multilayer network differences in RLS patients compared to healthy controls.
  • To explore how combined connectivity patterns are altered in RLS.
  • To identify potential neuroimaging biomarkers for RLS diagnosis and treatment monitoring.

Main Methods:

  • Diffusion Tensor Imaging (DTI) and resting-state functional MRI (rs-fMRI) were used.
  • Structural and functional connectivity matrices were constructed.
  • Multilayer network analysis (BRAPH) was applied to compare RLS patients (n=69) and controls (n=50).

Main Results:

  • Significant global differences in multilayer network organization were found between RLS patients and controls.
  • Average multiplex participation was lower in RLS patients (0.804) than in controls (0.821).
  • Nodal level analysis identified specific regions, notably in the frontal and temporal lobes, with altered multiplex participation in RLS.

Conclusions:

  • RLS is associated with distinct alterations in the interplay between structural and functional brain connectivity.
  • These findings suggest a more comprehensive understanding of RLS brain network dynamics.
  • The identified network changes may aid in developing precise diagnostic tools and treatment efficacy biomarkers for RLS.