Topological reorganization of brain functional networks in patients with mitochondrial encephalomyopathy with lactic acidosis and stroke-like episodes.


Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2020
Historique:
received: 30 06 2020
revised: 16 10 2020
accepted: 19 10 2020
entrez: 5 1 2021
pubmed: 6 1 2021
medline: 29 6 2021
Statut: ppublish

Résumé

Mitochondrial encephalomyopathy with lactic acidosis and stroke-like episodes (MELAS) is a rare maternally inherited genetic disease; however, little is known about its underlying brain basis. Furthermore, the topological organization of brain functional network in MELAS has not been explored. Here, 45 patients with MELAS (22 at acute stage, 23 at chronic stage) and 22 normal controls were studied using resting- state functional magnetic resonance imaging and graph theory analysis approaches. Topological properties of brain functional networks including global and nodal metrics, rich club organization and modularity were analyzed. At the global level, MELAS patients exhibited reduced clustering coefficient, normalized clustering coefficient, normalized characteristic path length and local network efficiency compared with the controls. At the nodal level, several nodes with abnormal degree centrality and nodal efficiency were detected in MELAS patients, and the distribution of these nodes was partly consistent with the stroke-like lesions. For rich club organization, rich club nodes were reorganized and the connections among them were decreased in MELAS patients. Modularity analysis revealed that MELAS patents had altered intra- or inter-modular connections in default mode network, fronto-parietal network, sensorimotor network, occipital network and cerebellum network. Notably, the patients at acute stage showed more obvious changes in these topological properties than the patients at chronic stage. These findings indicated that MELAS patients, particularly those at acute stage, exhibited topological reorganization of the whole-brain functional network. This study may help us to understand the neuropathological mechanisms of MELAS.

Identifiants

pubmed: 33395972
pii: S2213-1582(20)30317-X
doi: 10.1016/j.nicl.2020.102480
pmc: PMC7645289
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

102480

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2020. Published by Elsevier Inc.

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Auteurs

Rong Wang (R)

Department of Radiology, HuaShan Hospital, Fudan University, Shanghai 200040, China; Shanghai Institution of Medical Imaging, Shanghai 200032, China; Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai 200040, China.

Jie Lin (J)

Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China.

Chong Sun (C)

Department of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China.

Bin Hu (B)

Department of Radiology, HuaShan Hospital, Fudan University, Shanghai 200040, China; Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai 200040, China.

Xueling Liu (X)

Department of Radiology, HuaShan Hospital, Fudan University, Shanghai 200040, China; Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai 200040, China.

Daoying Geng (D)

Department of Radiology, HuaShan Hospital, Fudan University, Shanghai 200040, China; Shanghai Institution of Medical Imaging, Shanghai 200032, China; Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai 200040, China.

Yuxin Li (Y)

Department of Radiology, HuaShan Hospital, Fudan University, Shanghai 200040, China; Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai 200040, China. Electronic address: liyuxin@fudan.edu.cn.

Liqin Yang (L)

Department of Radiology, HuaShan Hospital, Fudan University, Shanghai 200040, China; Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai 200040, China. Electronic address: mozi001_ren@sina.com.

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