Evidence map›Paper›PMID 41313717›Full record

SynthesisAddiction biology2025

Functional Connectivity Disruptions in Grey Matter Volume-Altered Brain Regions Among Male Smokers: A Neuroimaging Study.

Hui Zhang, Jiawen Tian, Xinyu Wang, Hongyu Zhang, Longyao Ma, Bohui Mei, Mengzhe Zhang, Qingqing Lv, Yarui Wei, Shaoqiang Han and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Addiction biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

11 authors.

Hui ZhangDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jiawen TianDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xinyu WangDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Hongyu ZhangDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Longyao MaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.ORCID 0009-0008-7933-9168
Bohui MeiDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Mengzhe ZhangDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Qingqing LvDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yarui WeiDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Shaoqiang HanDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yong ZhangDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.ORCID 0000-0003-4892-6614

Funding

Funding for Scientific Research and Innovation Team of The First Affiliated Hospital of Zhengzhou University QNCXTD2023007National Natural Science Foundation of China 62106229National Natural Science Foundation of China 81601467National Natural Science Foundation of China 81871327
6 · The paper itself

Abstract

This study aimed to investigate whether structural brain alterations in smokers are accompanied by synchronized changes in functional connectivity, with a focus on understanding the neural mechanisms underlying smoking addiction. We conducted a meta-analysis of voxel-based morphometry (VBM) studies using the Seed Mapping software package to identify consistent grey matter changes in smokers' brains, which were subsequently defined as regions of interest (ROIs). Resting-state functional connectivity between these ROIs and whole-brain voxels was analysed in 53 male smokers and 38 non-smokers. Additional correlation analyses were performed to assess relationships with clinical features. Smokers exhibited reduced functional connectivity between the right lingual gyrus (which showed increased grey matter volume) and the left calcarine sulcus. The right superior frontal gyrus (with decreased grey matter volume) suggested diminished functional connectivity with multiple regions, including the bilateral precentral and postcentral gyrus, left rolandic operculum, left inferior frontal gyrus (opercular part), left midcingulate cortex, bilateral supplementary motor area, left paracentral lobule, right inferior frontal gyrus (triangular part) and right middle frontal gyrus (GRF corrected, voxel-level p < 0.001, cluster-level p < 0.05). Notably, reduced connectivity of some brain regions to the right superior frontal gyrus was negatively correlated with the Fagerström Test for Nicotine Dependence (FTND). Our findings demonstrate that structural brain alterations in smokers are associated with specific disruptions in functional connectivity, particularly within visual attention, executive control and sensorimotor networks. These results provide additional evidence of the neuropathophysiological mechanisms underlying smoking addiction.

Indexed as

BrainGray MatterSmokingTobacco Use DisorderAdultBrain MappingHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysNeuroimagingSmokerscigarette smokingexecutive control network (ECN)functional connectivity (FC)grey matter volume (GMV)superior frontal gyrus

Identifiers

PMID41313717
PMCPMC12662181

What OpenQuestion holds

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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.