Evidence map›Paper›PMID 35140538›Full record

ArticleNature and science of sleep2022

Changed Cerebral White Matter Structural Network Topological Characters and Its Correlation with Cognitive Behavioral Abnormalities in Narcolepsy Type 1.

Kunlin Ni, Yishu Liu, Xiaoyu Zhu, Huiwen Tan, Yin Zeng, Qiyong Guo, Li Xiao, Bing Yu

Open access · goldAbstract read
In one paragraph

Article in Nature and science of sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Kunlin Ni *Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
Yishu Liu *Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
Xiaoyu ZhuDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
Huiwen TanDepartment of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
Yin ZengDepartment of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
Qiyong GuoDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
Li XiaoDepartment of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
Bing YuDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, People's Republic of China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn the current study we investigated topological abnormalities of the cerebral white matter networks in narcolepsy type 1 (NT1) patients and its relationship with their cognitive abnormalities using diffusion tensor imaging (DTI) technology.

methodsDTI and the Beijing version of the Montreal Cognitive Assessment (MoCA-BJ) were applied to 30 NT1 patients and 30 age-matched healthy controls. DTI studies were also carried using the 3T MRI system. Next, DTI data was used to establish a cerebral white matter network for all subjects and graph theory was applied to analyze the topological characteristics of the white matter structural network. Topographical parameters (such as local efficiency (Eloc), global efficiency (Eglob) and small-world (σ)) between NT1 patients and controls were then compared. The correlation between MoCA-BJ scores and topological parameters was also analyzed.

resultsMoCA-BJ scores in NT1 patients were lower than those in the healthy controls. Compared with healthy controls, the global efficiency of the white matter network and attributes of the small world network were significantly reduced in NT1 patients. Finally, the global efficiency of the white matter structural network was related to the MoCA-BJ score of NT1 patients.

conclusionThe abnormal topological characteristics of the white matter structural network in NT1 patients may be associated with their cognitive impairment.

Indexed as

cognitive dysfunctiondiffusion tensor imaginggraph theory analysismontreal cognitive assessment Beijing editionnarcolepsy type 1

Identifiers

PMID35140538
PMCPMC8818963
OpenAlexW4210267665

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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.