Evidence map›Paper›PMID 32270434›Full record

ArticleFrontiers of medicine2020

Cerebral regional and network characteristics in asthma patients: a resting-state fMRI study.

Siyi Li, Peilin Lv, Min He, Wenjing Zhang, Jieke Liu, Yao Gong, Ting Wang, Qiyong Gong, Yulin Ji, Su Lui

Abstract read
PubMed Publisher
In one paragraph

Article in Frontiers of medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  9. Impaired Interhemispheric Synchrony in Bronchial Asthma.International journal of general medicine · 2021
    Article
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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

10 authors at 4 institutions in 1 country.

Siyi LiHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Peilin LvDepartment of Anesthesiology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Min HeDepartment of Respiratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Wenjing ZhangHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Jieke LiuDepartment of Radiology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610041, China.
Yao GongDepartment of Geriatric Psychiatry, The Fourth People's Hospital of Chengdu, Chengdu, 610036, China.
Ting WangDepartment of Respiratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Qiyong GongHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China.
Yulin JiDepartment of Respiratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China. jiyulin427@163.com.
Su LuiHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China. lusuwcums@tom.com.
West China Hospital of Sichuan University · CNSichuan University · CNFourth People's Hospital of Sichuan Province · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a serious health problem that involves not only the respiratory system but also the central nervous system. Previous studies identified either regional or network alterations in patients with asthma, but inconsistent results were obtained. A key question remains unclear: are the regional and neural network deficits related or are they two independent characteristics in asthma? Answering this question is the aim of this study. By collecting resting-state functional magnetic resonance imaging from 39 patients with asthma and 40 matched health controls, brain functional measures including regional activity (amplitude of low-frequency fluctuations) and neural network function (degree centrality (DC) and functional connectivity) were calculated to systematically characterize the functional alterations. Patients exhibited regional abnormities in the left angular gyrus, right precuneus, and inferior temporal gyrus within the default mode network. Network abnormalities involved both the sensorimotor network and visual network with key regions including the superior frontal gyrus and occipital lobes. Altered DC in the lingual gyrus was correlated with the degree of airway obstruction. This study elucidated different patterns of regional and network changes, thereby suggesting that the two parameters reflect different brain characteristics of asthma. These findings provide evidence for further understanding the potential cerebral alterations in the pathophysiology of asthma.

Indexed as

AsthmaMagnetic Resonance ImagingBrainBrain MappingHumansasthmabrainfunctional connectivityregional activationresting-state fMRI

Identifiers

PMID32270434
OpenAlexW3015916395

What OpenQuestion holds

Textmetadata
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.