Evidence map›Paper›PMID 41158443›Full record

ReviewAddictive behaviors reports2025

Functional magnetic resonance imaging in adolescent Internet gaming disorder: A systematic review.

Mo Zhu, Mingzhu Liu, Xingchen Wang, Chunli Li, Juntao Ba, Xiaojuan Liu, Wen Yang, Shaoyuan Wu, Jingmei Zhong

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Addictive behaviors reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Mo ZhuCollege of Medicine, Kunming University of Science and Technology, Department of Clinical Psychology, The First People's Hospital of Yunnan Province, Kunming City, China.
Mingzhu LiuCollege of Medicine, Kunming University of Science and Technology, Department of Clinical Psychology, The First People's Hospital of Yunnan Province, Kunming City, China.
Xingchen WangDepartment of Clinical Psychology, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Chunli LiDepartment of Clinical Psychology, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Juntao BaDepartment of Clinical Psychology, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Xiaojuan LiuDepartment of Clinical Psychology, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Wen YangDepartment of Clinical Psychology, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Shaoyuan WuDepartment of Clinical Psychology, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.
Jingmei ZhongDepartment of Clinical Psychology, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet Gaming Disorder (IGD), recognized as a non-substance addictive behavior, has been incorporated into the diagnostic frameworks of DSM-5 and ICD-11. Its high prevalence rate (approximately 10 %) and widespread harmful consequences position it as a significant global public health challenge. Functional Magnetic Resonance Imaging (fMRI) technology offers a powerful tool for elucidating the neural mechanisms underlying addictive behaviors. This is particularly relevant during adolescence, a period characterized by high neurobiological plasticity, enabling a deeper understanding of the neurobiological basis of IGD. Objective: This review aims to systematically synthesize the application of fMRI techniques in adolescent IGD research. It integrates empirical findings from resting-state fMRI (rs-fMRI), task-based fMRI (tb-fMRI), and Diffusion Tensor Imaging (DTI) to clarify IGD-associated abnormalities in brain function and structure, and explores their potential for clinical translation. Methods: Relevant literature published between January 2015 and February 2025 was retrieved from PubMed, Web of Science, and Science Direct databases using keyword searches. Twenty-one studies meeting the inclusion criteria (employing fMRI techniques, utilizing defined IGD diagnostic criteria, focusing on adolescent samples aged 10-20 years) were selected. The risk of bias for included studies was assessed using a standardized tool. The analysis encompassed investigations of resting-state functional connectivity (FC), task-based activation patterns, and white matter microstructure. Conclusion: Adolescents with IGD exhibit functional dysregulation within the prefrontal-striatal circuit, hyperactivation of the reward system, and white matter microstructural impairments. These neural abnormalities are closely associated with behavioral disinhibition and cognitive deficits. fMRI research provides a neuroimaging foundation for the objective diagnosis and targeted intervention of IGD. Future research necessitates the integration of multimodal data to optimize clinical applications.

Indexed as

AdolescentfMRIFunctional magnetic resonance imagingInternet addictionInternet gaming disorderNeuroimagingTeenager

Identifiers

PMID41158443
PMCPMC12554800

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Registered trials

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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.