Evidence map›Paper›PMID 40492582›Full record

ArticleThe Journal of international medical research2025

Changes in resting-state brain function in chronic alcohol users based on degree centrality.

Guangping Su, Zhezi Wang, Yanxi Xiong, Xingwu Xie, Bencheng Mo, Yue Liu

Abstract read
In one paragraph

Article in The Journal of international medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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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

3 citing papers in PubMed.

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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

6 authors.

Guangping SuDepartment of Radiology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, P. R. China.
Zhezi WangDepartment of Radiology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, P. R. China.
Yanxi XiongDepartment of Radiology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, P. R. China.
Xingwu XieDepartment of Radiology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, P. R. China.
Bencheng MoDepartment of Radiology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, P. R. China.
Yue LiuDepartment of Radiology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, P. R. China.ORCID 0009-0000-7164-8048

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveTo examine the effects of chronic alcohol consumption on brain functional connectivity using resting-state functional magnetic resonance imaging and degree centrality analysis.MethodsThis was a cross-sectional study, with participants including 23 light-to-moderate drinkers, 25 heavy drinkers, and 29 healthy controls aged 40-60 years. Degree centrality analysis was used to compare brain function differences among groups, and the relationships between degree centrality values, cognitive scores, and drinking behaviors were explored.ResultsHeavy drinkers showed significantly reduced degree centrality values in the left inferior temporal gyrus compared with healthy controls as well as in the left inferior temporal gyrus and left middle occipital gyrus compared with light-to-moderate drinkers. Degree centrality values in the left inferior temporal gyrus and left middle occipital gyrus were negatively correlated with drinking frequency and Michigan Alcoholism Screening Test scores but were positively correlated with cognitive scores.ConclusionsHeavy drinking significantly disrupts brain functional networks. These findings suggest a potential link between cognitive function and drinking behavior, which may inform future research on early interventions aimed at protecting brain function in chronic alcohol users.

Indexed as

Alcohol DrinkingAlcoholismBrainTemporal LobeAdultBrain MappingCase-Control StudiesCognitionCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRestalcohol-drinking patternbrain functionChronic alcohol consumptiondegree centralityresting-state functional magnetic resonance

Identifiers

PMID40492582
PMCPMC12152390

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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.