Evidence map›Paper›PMID 41735196›Full record

ArticleAddiction biology2026

Altered Topological Properties of White-Matter Functional Networks in Young Smokers.

Zhenzhen Mai, Dahua Yu, Gengdi Huang, Xiaojiao Li, Xuwen Wang, Fang Dong, Yongxin Cheng, Juan Wang, Yuxin Ma, Lin Luo and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Addiction biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Zhenzhen MaiSchool of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.
Dahua YuSchool of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.ORCID 0000-0001-7850-7512
Gengdi HuangDepartment of Addiction Medicine, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, China.
Xiaojiao LiSchool of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.
Xuwen WangSchool of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.
Fang DongSchool of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.
Yongxin ChengSchool of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.
Juan WangSchool of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.
Yuxin MaSchool of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.
Lin LuoImaging Department, Medical Science of the First Affiliated Hospital of Baotou Medical College, Baotou, Inner Mongolia, China.
Kai YuanSchool of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.
Ting XueSchool of Science College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, China.

Funding

Chinese National Programs for Brain Science and Brain-like Intelligence Technology 2022ZD0214500Development Program for Young Talents of Science and Technology in Universities of Inner Mongolia NJYT24030Fundamental Research Funds for the Universities of Inner Mongolia 2023QNJS204Fundamental Research Funds for the Universities of Inner Mongolia 2023QNJS206Fundamental Research Funds for the Universities of Inner Mongolia 2024QNJS119National Natural Science Foundation of China 61971451National Natural Science Foundation of China 82260359National Natural Science Foundation of China 82371500National Natural Science Foundation of China U22A20303Natural Science Foundation of Inner Mongolia 2023QN08007Natural Science Foundation of Inner Mongolia 2025MS08027Natural Science Foundation of Inner Mongolia 2025MS08098Project of the Inner Mongolia Talent Program (Yingcai Xingmeng) Brain Science and Brain-Like Computing TeamSTI2030-Major Project 2022ZD0207100
6 · The paper itself

Abstract

Smoking addiction is a common mental disorder, and numerous imaging studies have shown that adolescents with smoking addiction exhibit abnormalities in brain function and structure. This study aims to investigate changes in the topological characteristics of the white matter (WM) functional network in young smokers. Forty-two young smokers and 42 age-, gender-, and education-matched nonsmokers were included in the study. The functional connectome of white matter and graph theory were used to study these participants. Two-sample t-test were used for the detection of the abnormal graph properties in young smokers. Pearson correlation was applied for the correlation analyses between properties and clinical indicators of smoking. The global level WM functional network analyses showed that the

Indexed as

BrainNerve NetSmokersSmokingWhite MatterAdolescentConnectomeFemaleHumansMagnetic Resonance ImagingMaleTobacco Use DisorderYoung AdultfMRIfunctional networkgraph theorywhite matteryoung smokers

Identifiers

PMID41735196
PMCPMC12932083

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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.