Evidence map›Paper›PMID 28194128›Full record

ArticleFrontiers in psychology2017

Disrupted Resting-State Default Mode Network in Betel Quid-Dependent Individuals.

Xueling Zhu, Qiuling Zhu, Canhua Jiang, Huaizhen Shen, Furong Wang, Weihua Liao, Fulai Yuan

Abstract read
In one paragraph

Article in Frontiers in psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Abnormal Large-Scale Neuronal Network in High Myopia.Frontiers in human neuroscience · 2022
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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

7 authors.

Xueling ZhuHealth Management Center, Xiangya Hospital, Central South UniversityChangsha, China; School of Humanities and Social Sciences, National University of Defense TechnologyChangsha, China.
Qiuling ZhuObstetrics Department, Jinan Maternity and Child Care Hospital Jinan, China.
Canhua JiangDepartment of Oral and Maxillofacial Surgery, Xiangya Hospital, Central South University Changsha, China.
Huaizhen ShenSchool of Humanities and Social Sciences, National University of Defense Technology Changsha, China.
Furong WangSchool of Humanities and Social Sciences, National University of Defense Technology Changsha, China.
Weihua LiaoDepartment of Radiology, Xiangya Hospital, Central South University Changsha, China.
Fulai YuanHealth Management Center, Xiangya Hospital, Central South UniversityChangsha, China; Department of Oral and Maxillofacial Surgery, Xiangya Hospital, Central South UniversityChangsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have shown that substance dependence (addiction) is accompanied with altered activity patterns of the default mode network (DMN). However, the neural correlates of the resting-state DMN and betel quid dependence (BQD)-related physiopathological characteristics still remain unclear. Resting-state functional magnetic resonance imaging images were obtained from 26 BQD individuals and 28 matched healthy control subjects. Group independent component analysis was performed to analyze the resting state images into spatially independent components. Gray matter volume was examined as covariate with voxel-based morphometry to rule out its effect on the functional results. The severity of BQD was assessed by the BQD Scale (BQDS). We observed decreased functional connectivity in anterior part of the DMN including ventral medial prefrontal cortex, orbital MPFC (OMPFC)/anterior cingulate cortex (ACC). Furthermore, the functional connectivity within the OMPFC/ACC in BQD individuals was negatively correlated with BQDS (

Indexed as

betel quid dependencedefault mode networkfMRIfunctional connectivityindependent component analysisresting-state

Identifiers

PMID28194128
PMCPMC5276995

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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.