Evidence map›Paper›PMID 27757078›Full record

ArticleFrontiers in human neuroscience2016

Functional Connectivity Abnormalities of Brain Regions with Structural Deficits in Young Adult Male Smokers.

Limei Bu, Dahua Yu, Shaoping Su, Yao Ma, Karen M von Deneen, Lin Luo, Jinquan Zhai, Bo Liu, Jiadong Cheng, Yanyan Guan and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 4 pooled it
0.5field-weighted citation impact, top 33% 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

13 citing papers in PubMed, 4 syntheses or guidelines pooled it, 20 citations in OpenAlex.

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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

15 authors at 4 institutions in 1 country.

Limei BuInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China.
Dahua YuInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China.
Shaoping SuInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China.
Yao MaInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China.
Karen M von DeneenSchool of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China.
Lin LuoDepartment of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology Baotou, People's Republic of China.
Jinquan ZhaiDepartment of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology Baotou, People's Republic of China.
Bo LiuDepartment of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology Baotou, People's Republic of China.
Jiadong ChengSchool of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China.
Yanyan GuanSchool of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China.
Yangding LiSchool of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China.
Yanzhi BiSchool of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China.
Ting XueInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China.
Xiaoqi LuInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology Baotou, People's Republic of China.
Kai YuanInner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and TechnologyBaotou, People's Republic of China; School of Life Science and Technology, Xidian UniversityXian, People's Republic of China; Engineering Research Center of Molecular and NeuroImaging, Ministry of EducationPeople's Republic of China.
Inner Mongolia University of Science and Technology · CNMinistry of Education of the People's Republic of China · CNBaotou Medical College · CNXidian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smoking is one of the most prevalent dependence disorders. Previous studies have detected structural and functional deficits in smokers. However, few studies focused on the changes of resting state functional connectivity (RSFC) of the brain regions with structural deficits in young adult smokers. Twenty-six young adult smokers and 26 well-matched healthy non-smokers participated in our study. Voxel-based morphometry (VBM) and RSFC were employed to investigate the structural and functional changes in young adult smokers. Compared with healthy non-smokers, young smokers showed increased gray matter (GM) volume in the left putamen and decreased GM volume in the left anterior cingulate cortex (ACC). Moreover, GM volume in the left ACC has a negative correlation trend with pack-years and GM volume in the left putamen was positively correlated with pack-years. The left ACC and putamen with abnormal volumes were chosen as the regions of interest (ROIs) for the RSFC analysis. We found that smokers showed increased RSFC between the left ACC and right amygdala and between the left putamen and right anterior insula. We revealed structural and functional deficits within the frontostriatal circuits in young smokers, which may shed new insights into the neural mechanisms of smoking.

Indexed as

anterior cingulate cortexfunctional connectivityputamenresting statesmokingvoxel-based morphometry (VBM)

Identifiers

PMID27757078
PMCPMC5047919
OpenAlexW2529550891

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.