Evidence map›Paper›PMID 33395972›Full record

ArticleNeuroImage. Clinical2020

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

Rong Wang, Jie Lin, Chong Sun, Bin Hu, Xueling Liu, Daoying Geng, Yuxin Li, Liqin Yang

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Rong WangDepartment 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 LinDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Chong SunDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China.
Bin HuDepartment of Radiology, HuaShan Hospital, Fudan University, Shanghai 200040, China; Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai 200040, China.
Xueling LiuDepartment of Radiology, HuaShan Hospital, Fudan University, Shanghai 200040, China; Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai 200040, China.
Daoying GengDepartment 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 LiDepartment 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 YangDepartment 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.
Huashan Hospital · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Acidosis, LacticMitochondrial EncephalomyopathiesStrokeBrainHumansMagnetic Resonance ImagingNerve NetBrain functional networksGraph theory analysisMELASResting state

Identifiers

PMID33395972
PMCPMC7645289
OpenAlexW3096318461

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.