Evidence map›Paper›PMID 38324061›Full record

ArticleJournal of behavioral addictions2024

Negative emotions mediate the association between the topology of the complex brain network and smartphone use disorder: A resting-state EEG study.

Yulong Yin, Xu Li, Joseph T F Lau, Sunian Nan, Mingkun Ouyang, Xiao Cai, Pengcheng Wang

Abstract read
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Article in Journal of behavioral addictions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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.

Yulong Yin1School of Psychology, Northwest Normal University, Lanzhou, China.ORCID 0000-0001-8237-4177
Xu Li1School of Psychology, Northwest Normal University, Lanzhou, China.
Joseph T F Lau2Zhejiang Provincial Clinical Research Center for Mental Disorders, The Affiliated Wenzhou Kangning Hospital, Wenzhou Medical University, Wenzhou 325000, China.ORCID 0000-0003-2344-7107
Sunian Nan1School of Psychology, Northwest Normal University, Lanzhou, China.
Mingkun Ouyang5School of Education Science, Guangxi Minzu University, Nanning, China.
Xiao Cai6School of Foreign Languages, Renmin University of China, Beijing, China.
Pengcheng Wang7School of Media and Communication, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-0241-1888

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Increasing research has examined the factors related to smartphone use disorder. However, limited research has explored its neural basis. Aims: We aimed to examine the relationship between the topology of the resting-state electroencephalography (rs-EEG) brain network and smartphone use disorder using minimum spanning tree analysis. Furthermore, we examined how negative emotions mediate this relationship. Methods: This study included 113 young, healthy adults (mean age = 20.87 years, 46.9% males). Results: The results showed that the alpha- and delta-band kappas and delta-band leaf fraction were positively correlated with smartphone use disorder. In contrast, the alpha-band diameter was negatively correlated with smartphone use disorder. Negative emotions fully mediated the relationship between alpha-band kappa and alpha-band diameter and smartphone use disorder. Furthermore, negative emotions partially mediated the relationship between delta-band kappa and smartphone use disorder. The findings suggest that excessive scale-free alpha- and delta-band brain networks contribute to the emergence of smartphone use disorder. In addition, the findings also demonstrate that negative emotions and smartphone use disorder share the same neural basis. Negative emotions play a mediating role in the association between topological deviations and smartphone use disorder. Discussion: To the best of our knowledge, this is the first study to examine the neural basis of smartphone use disorder from the perspective of the topology of the rs-EEG brain network. Therefore, neuromodulation may be a potential intervention for smartphone use disorder.

Indexed as

BrainSmartphoneAdultBrain MappingElectroencephalographyEmotionsFemaleHumansMaleYoung Adultminimum spanning treenegative emotionsresting-state EEGsmartphone use disorder

Identifiers

PMID38324061
PMCPMC10988397

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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.