Evidence map›Paper›PMID 33010145›Full record

ArticleJournal of behavioral addictions2020

Higher levels of (Internet) Gaming Disorder symptoms according to the WHO and APA frameworks associate with lower striatal volume.

Xinqi Zhou, Renjing Wu, Congcong Liu, Juan Kou, Yuanshu Chen, Halley M Pontes, Dezhong Yao, Keith M Kendrick, Benjamin Becker, Christian Montag

Open access · goldAbstract read
In one paragraph

Article in Journal of behavioral addictions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 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

10 authors at 2 institutions in 3 countries.

Xinqi Zhou1The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China.
Renjing Wu1The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China.
Congcong Liu1The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China.
Juan Kou1The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China.
Yuanshu Chen1The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China.
Halley M Pontes2School of Psychological Sciences, University of Tasmania, TAS 7250 Launceston, Australia.
Dezhong Yao1The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China.
Keith M Kendrick1The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China.
Benjamin Becker1The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0002-9014-9671
Christian Montag1The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0001-8112-0837
University of Electronic Science and Technology of China · CNUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsGrowing concerns about the addictive nature of Internet and computer games led to the preliminary recognition of Internet Gaming Disorder (IGD) as an emerging disorder by the American Psychiatric Association (APA) and the official recognition of Gaming Disorder (GD) as a new diagnosis by the World Health Organization (WHO). While the definition of clear diagnostic criteria for (I)GD represents an important step for diagnosis and treatment of the disorder, potential neurobiological correlates of the criteria remain to be explored.

methodsThe present study employed a dimensional Magnetic Resonance Imaging (MRI) approach to determine associations between (I)GD symptom-load according to the APA and WHO diagnostic frameworks and brain structure in a comparably large sample of n = 82 healthy subjects.

resultsHigher symptom-load on both, the APA and WHO diagnostic frameworks convergently associated with lower volumes of the striatum. DISCUSSION: The results from this exploratory study provide the first initial evidence for a neurobiological foundation of the proposed diagnostic criteria for (I)GD according to both diagnostic classification systems and suggest that the transition from non-disordered to disordered gaming may be accompanied by progressive neuroplastic changes in the striatum, thus resembling progressive changes in other addictive disorders.

conclusionsThe proposed (I)GD criteria in both diagnostic systems were associated with neurostructural alterations in the striatum, suggesting an association with progressive changes in the motivational systems of the brain.

Indexed as

AdolescentAdultCorpus StriatumHumansInternet Addiction DisorderMagnetic Resonance ImagingMaleSocieties, MedicalWorld Health OrganizationYoung AdultDSM-5gray matterICD-11internet gaming disorderstriatum

Identifiers

PMID33010145
PMCPMC8943682
OpenAlexW3089461911

What OpenQuestion holds

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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.