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Updated: Sep 11, 2025

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Altered network efficiency in isolated REM sleep behavior disorder: A multicentric study.

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Summary
This summary is machine-generated.

Brain connectivity changes in isolated rapid eye movement sleep behavior disorder (iRBD) predict future dementia. Early disruptions in brain networks can identify individuals at risk for synucleinopathy-related dementia.

Keywords:
dementia with Lewy bodiesdiffusion magnetic resonance imaginggraph theoryparasomniassleepstructural connectivitysynucleinopathies

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Area of Science:

  • Neuroscience
  • Neurology
  • Medical Imaging

Background:

  • Isolated rapid eye movement (REM) sleep behavior disorder (iRBD) is a precursor to dementia with Lewy bodies (DLB) and Parkinson's disease (PD).
  • Brain changes in iRBD are known, but their effect on structural connectivity and network efficiency is not well understood.
  • Understanding these changes could lead to early diagnostic biomarkers.

Purpose of the Study:

  • To investigate structural brain connectivity and network efficiency in patients with iRBD.
  • To determine if these network alterations can predict the progression to DLB or PD.

Main Methods:

  • 198 iRBD patients and 174 controls underwent diffusion magnetic resonance imaging.
  • Advanced diffusion tractography and network-based statistics were used to analyze individual brain connectomes.
  • Network properties were assessed for their predictive value for DLB or PD development.

Main Results:

  • iRBD patients exhibited disrupted structural architecture with both reduced and increased connections compared to controls.
  • Global network efficiency was decreased in iRBD patients.
  • Altered local efficiency in motor regions correlated with early clinical symptoms, and supramarginal gyrus efficiency predicted DLB.

Conclusions:

  • Early disruptions in brain structural connectivity and network efficiency are evident in iRBD.
  • These alterations serve as potential prognostic biomarkers for synucleinopathy-related dementia.
  • Network efficiency changes are linked to the development of Parkinsonian features and predict dementia risk.