Evidence map›Paper›PMID 29988765›Full record

ArticleNeuroImage. Clinical2018

Abnormal degree centrality in chronic users of codeine-containing cough syrups: A resting-state functional magnetic resonance imaging study.

Kelei Hua, Tianyue Wang, Cheng Li, Shumei Li, Xiaofen Ma, Chao Li, Meng Li, Shishun Fu, Yi Yin, Yunfan Wu and 5 more

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  9. [The measurements of the similarity of dynamic brain functional network].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    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

15 authors.

Kelei HuaDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Tianyue WangDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Cheng LiDepartment of Renal Transplantation, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Shumei LiDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Xiaofen MaDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Chao LiDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Meng LiDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Shishun FuDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, People's Republic of China.
Yi YinDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, People's Republic of China.
Yunfan WuDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, People's Republic of China.
Mengchen LiuDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, People's Republic of China.
Kanghui YuDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Jin FangDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China.
Peijun WangDepartment of Medical Imaging, Chinese People's Armed Police Forces, Hubei Provincial Corps Hospital, People's Republic of China.
Guihua JiangDepartment of Medical Imaging, Guangdong Second Provincial General Hospital, Guangzhou, People's Republic of China. Electronic address: jianggh@gd2h.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Codeine-containing cough syrups (CCS) have become one of the most popular drugs of abuse in young population worldwide. However, the neurobiological mechanisms underlying CCS-dependence are yet ill-defined. Therefore, understanding the brain abnormalities in chronic users of CCS is crucial for developing effective interventions. The present study depicted the intrinsic dysconnectivity pattern of whole-brain functional networks at the voxel level in chronic users of CCS. In addition, the degree centrality (DC) changes were correlated to the Barratt Impulsiveness Scale (BIS-11) total score, dose, duration of CCS use, and the age at first use of cough syrups. The current study included 38 chronic CCS users and 34 matched control subjects. All patients were evaluated using the BIS-11. Next, resting-state functional magnetic resonance imaging (rs-fMRI) datasets were acquired from these CCS users and controls. Whole-brain connectivity was analyzed using a graph theory approach: degree centrality (DC). CCS-dependent individuals exhibited low DC values in the left inferior parietal lobule and the left middle temporal gyrus, while high DC values were noted in the right pallidum and the right hippocampus (

Indexed as

AdultBrainBrain MappingCodeineFemaleHumansImpulsive BehaviorMagnetic Resonance ImagingMaleNerve NetOpioid-Related DisordersProspective StudiesCodeineAddictionCodeine-containing cough syrupsDegree centralityfMRIImpulsivity

Identifiers

PMID29988765
PMCPMC6031869

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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.