Dynamic functional connectivity impairments in idiopathic rapid eye movement sleep behavior disorder.


Journal

Parkinsonism & related disorders
ISSN: 1873-5126
Titre abrégé: Parkinsonism Relat Disord
Pays: England
ID NLM: 9513583

Informations de publication

Date de publication:
10 2020
Historique:
received: 27 05 2020
revised: 26 07 2020
accepted: 03 08 2020
pubmed: 29 8 2020
medline: 3 2 2022
entrez: 29 8 2020
Statut: ppublish

Résumé

Previous functional magnetic resonance imaging (fMRI) studies typically analyzed static functional connectivity (sFC) to reveal the pathophysiology of iRBD and overlooked the dynamic nature of brain activity. Thus, we aimed to explore whether iRBD showed abnormalities of brain network dynamics using the dynamic functional connectivity (dFC) approach. Resting-state fMRI data from 33 iRBD patients and 38 matched healthy controls were analyzed using an independent component analysis, sliding window correlation and k-means clustering. Relationships between clinical symptoms and abnormal dFC were evaluated using Spearman's correlation analysis. Four distinct connectivity states were identified to characterize and compare dFC patterns. We demonstrated that iRBD had fewer occurrences and a shorter dwell time in the infrequent and strongly connected State 1, but with more occurrences and a longer dwell time in the frequent and sparsely connected State 2. In addition, iRBD patients showed significantly decreased FC in certain dFC states compared to healthy controls. More importantly, the impairments in the temporal properties of State 2 were found to be associated RBDSQ scores in the patient group. This study detected dFC impairments in iRBD patients and provided new insights into the pathophysiology of iRBD, which might contribute to the development of disease-modifying drugs in future clinical trials.

Identifiants

pubmed: 32858487
pii: S1353-8020(20)30669-6
doi: 10.1016/j.parkreldis.2020.08.003
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

11-17

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Guanglu Li (G)

Department of Neurology and Institute of Neurology, Ruijin Hospital/Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Liche Zhou (L)

Department of Neurology and Institute of Neurology, Ruijin Hospital/Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Zhichun Chen (Z)

Department of Neurology and Institute of Neurology, Ruijin Hospital/Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Ningdi Luo (N)

Department of Neurology and Institute of Neurology, Ruijin Hospital/Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Mengyue Niu (M)

Department of Neurology and Institute of Neurology, Ruijin Hospital/Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Yuanyuan Li (Y)

Department of Neurology and Institute of Neurology, Ruijin Hospital/Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Wenyan Kang (W)

Department of Neurology and Institute of Neurology, Ruijin Hospital/Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Jun Liu (J)

Department of Neurology and Institute of Neurology, Ruijin Hospital/Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address: jly0520@hotmail.com.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH