Rapid eye movement sleep behavior disorder and its relation to Parkinson's disease: The potential of graph measures as brain biomarkers to identify the underlying physiopathology of the disorder

Author:

Najafzadeh Milad1,Mohammadian Fatemeh1,Mirabian Sara1,Ganji Zohre1,Akbari Hossein1,Rezaie Masoud1,Ranjbar Esmaeil2,Zare Hoda13ORCID,Nasseri Shahrokh13,Ferini‐Strambi Luigi45

Affiliation:

1. Department of Medical Physics, Faculty of Medicine Mashhad University of Medical Sciences Mashhad Iran

2. Department of Anatomy and Cell Biology, School of Medicine Mashhad University of Medical Sciences Mashhad Iran

3. Medical Physics Research Center Mashhad University of Medical Sciences Mashhad Iran

4. Vita‐Salute San Raffaele University Milan Italy

5. Division of Neuroscience, Sleep Disorders Center San Raffaele Scientific Institute Milan Italy

Abstract

AbstractRapid eye movement behavior disorder (RBD) is a parasomnia characterized by the loss of skeletal muscle atonia during the rapid eye movement (REM) sleep phase. On the other hand, idiopathic RDB (iRBD) is considered the prelude of the various α‐synucleinopathies, including Parkinson's disease (PD), dementia with Lewy bodies and multiple system atrophy. Consequently, over 40% of patients eventually develop PD. Recent neuroimaging studies utilizing structural magnetic resonance imaging (s‐MRI), diffusion‐weighted imaging (DWI), and functional magnetic resonance imaging (fMRI) with graph theoretical analysis have demonstrated that patients with iRBD and Parkinson's disease have extensive brain abnormalities. Thus, it is crucial to identify new biomarkers that aid in determining the underlying physiopathology of iRBD group. This review was conducted systematically on the included full‐text articles of s‐MRI, DWI, and fMRI studies using graph theoretical analysis on patients with iRBD, per the procedures recommended by Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA). The literature search was conducted through the PubMed and Google scholar databases concentrating on studies from September to January 2022. Based on the three perspectives of integration, segregation, and centrality, the reviewed articles demonstrated that iRBD is associated with segregation disorders in frontal and limbic brain regions. Moreover, this study highlighted the need for additional longitudinal and multicenter studies to better understand the potential of graph metrics as brain biomarkers for identifying the underlying physiopathology of iRBD group.

Funder

Mashhad University of Medical Sciences

Publisher

Wiley

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