Evidence map›Paper›PMID 35979335›Full record

ArticleFrontiers in neuroscience2022

Increased functional connectivity of white-matter in myotonic dystrophy type 1.

Jing Li, Jie Li, Pei Huang, Li-Na Huang, Qing-Guo Ding, Linlin Zhan, Mengting Li, Jiaxi Zhang, Hongqiang Zhang, Lulu Cheng and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Imaging of the superficial white matter in health and disease.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 7 institutions in 1 country.

Jing LiSchool of Teacher Education, Zhejiang Normal University, Jinhua, China.
Jie LiResearch Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China.
Pei HuangDepartment of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Li-Na HuangDepartment of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, China.
Qing-Guo DingDepartment of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, China.
Linlin ZhanFaculty of Western Languages, Heilongjiang University, Harbin, China.
Mengting LiSchool of Teacher Education, Zhejiang Normal University, Jinhua, China.
Jiaxi ZhangSchool of Teacher Education, Zhejiang Normal University, Jinhua, China.
Hongqiang ZhangDepartment of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, China.
Lulu ChengSchool of Foreign Studies, China University of Petroleum, Qingdao, China.
Huayun LiSchool of Teacher Education, Zhejiang Normal University, Jinhua, China.
Dong-Qiang LiuResearch Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China.
Hai-Yan ZhouDepartment of Neurology & Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xi-Ze JiaSchool of Teacher Education, Zhejiang Normal University, Jinhua, China.
Zhejiang Normal University · CNChangshu No.1 People's Hospital · CNShanghai Jiao Tong University · CNChina University of Petroleum, East China · CNHeilongjiang University · CNLiaoning Normal University · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Myotonic dystrophy type 1 (DM1) is the most common and dominant inherited neuromuscular dystrophy disease in adults, involving multiple organs, including the brain. Although structural measurements showed that DM1 is predominantly associated with white-matter damage, they failed to reveal the dysfunction of the white-matter. Recent studies have demonstrated that the functional activity of white-matter is of great significance and has given us insights into revealing the mechanisms of brain disorders. Materials and methods: Using resting-state fMRI data, we adopted a clustering analysis to identify the white-matter functional networks and calculated functional connectivity between these networks in 16 DM1 patients and 18 healthy controls (HCs). A two-sample Results: We identified 13 white-matter functional networks by clustering analysis. These white-matter functional networks can be divided into a three-layer network (superficial, middle, and deep) according to their spatial distribution. Compared to HCs, DM1 patients showed increased FC within intra-layer white-matter and inter-layer white-matter networks. For intra-layer networks, the increased FC was mainly located in the inferior longitudinal fasciculus, prefrontal cortex, and corpus callosum networks. For inter-layer networks, the increased FC of DM1 patients is mainly located in the superior corona radiata and deep networks. Conclusion: Results demonstrated the abnormalities of white-matter functional connectivity in DM1 located in both intra-layer and inter-layer white-matter networks and suggested that the pathophysiology mechanism of DM1 may be related to the white-matter functional dysconnectivity. Furthermore, it may facilitate the treatment development of DM1.

Indexed as

functional connectivitymyotonic dystrophy type 1resting-state fMRIwhite-matterwhite-matter functional networks

Identifiers

PMID35979335
PMCPMC9377538
OpenAlexW4289131271

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.