Evidence map›Paper›PMID 33772331›Full record

ArticlePsychopharmacology2021

Association between functional brain alterations and neuropsychological scales in male chronic smokers using resting-state fMRI.

Jun-Cheng Weng, Shih-Yu Huang, Ming-Shih Lee, Ming-Chou Ho

Abstract read
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In one paragraph

Article in Psychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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

4 authors at 2 institutions in 1 country.

Jun-Cheng WengDepartment of Medical Imaging and Radiological Sciences, Bachelor Program in Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan.ORCID http://orcid.org/0000-0001-7616-6216
Shih-Yu HuangDepartment of Medical Imaging and Radiological Sciences, Bachelor Program in Artificial Intelligence, Chang Gung University, Taoyuan, Taiwan.
Ming-Shih LeeDepartment of Medical Laboratory and Biotechnology, Chung Shan Medical University, Taichung, Taiwan.
Ming-Chou HoDepartment of Psychology, Chung Shan Medical University, No.110, Sec. 1, Chien-Kuo N. Road, Taichung, Taiwan. mingchou@csmu.edu.tw.ORCID http://orcid.org/0000-0002-5930-6974
Chang Gung University · TWChung Shan Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleRecent studies have demonstrated that cigarette smoking is related to changes in brain structure and function. However, few studies focus on functional brain differences between male chronic smokers and nonsmokers in both local spontaneous activity and whole-brain functional networks.

objectivesOur study recruited 67 chronic smokers and 43 nonsmokers who underwent functional magnetic resonance imaging (fMRI) scans to investigate functional activity and connectivity alterations in chronic smokers.

methodsWe used the mean fractional amplitude of the low-frequency fluctuation (mfALFF) and mean regional homogeneity (mReHo) methods to investigate resting-state spontaneous activity in chronic smokers and nonsmokers. The graph theoretical analysis (GTA) and network-based statistical (NBS) analysis were also used to investigate functional connectivity alterations.

resultsCompared with nonsmokers, chronic smokers exhibited higher activation in the reward system and portions of the prefrontal cortex but lower activation in the default mode networks (DMN) and visual-related regions. In addition, correlation analysis was conducted to assess the associations between neuroimaging findings and the severity of nicotine dependence or expectations of smoking effects. Our results showed that certain brain regions correlated with the Fagerström Test for Nicotine Dependence (FTND), the positive aspect of the Drug Use Disorders Identification Test Extended (DUDIT-E), and the negative aspect of the DUDIT-E, especially in the attentional control networks and hippocampus. The graph theoretical analysis (GTA) results indicated chronic smokers exhibited a trend toward increased assortativity. Our network-based statistical (NBS) analysis revealed reduced functional connections between the subnetwork in the prefrontal cortex, olfactory cortex, angular gyrus, and cingulate gyrus of chronic smokers.

conclusionsWe concluded that chronic smokers have neural adaptations in local spontaneous activity but remain healthy brain functional networks.

Indexed as

AdultBrainBrain MappingCase-Control StudiesCigarette SmokingHumansMagnetic Resonance ImagingMaleNeuroimagingRewardSmokersSubstance-Related DisordersTobacco Use DisorderYoung AdultChronic smokersDrug Use Disorders Identification Test Extended (DUDIT-E)Fagerström Test for Nicotine Dependence (FTND)Functional magnetic resonance imaging (fMRI)Graph theoretical analysis (GTA)Network-based statistical (NBS) analysis

Identifiers

PMID33772331
OpenAlexW3138944625

What OpenQuestion holds

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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.