Evidence mapPaperPMID 41888807Full record

ArticleBMC medicine2026

Risk classification of internet gaming disorder based on neurobiological subtyping from impulsivity-linked resting-state functional connectivity: a longitudinal design study.

Xinwen Wen, Jiahao Zhao, Zhe Du, Xiao Yu, Dongcheng Wang, Boxun Fu, Mengjiao Ge, Haichao Zhao, Hongmei Wang, Fu Li and 3 more

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Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Xinwen WenSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
Jiahao ZhaoSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
Zhe DuSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
Xiao YuSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
Dongcheng WangSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China.
Boxun FuSchool of Artificial Intelligence, Xidian University, Xi'an, Shaanxi, 710126, People's Republic of China.
Mengjiao GeFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China.
Haichao ZhaoFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China.
Hongmei WangDepartment of Medical Imaging, Inner Mongolia People's Hospital, Hohhot, 010017, China.
Fu LiSchool of Artificial Intelligence, Xidian University, Xi'an, Shaanxi, 710126, People's Republic of China.
Dahua YuSchool of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, China. fmydh@imust.edu.cn.
Qinghua HeFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China. heqinghua@swu.edu.cn.
Kai YuanSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China. kyuan@xidian.edu.cn.

Funding

Central Government-funded Projects to Guide Local Technological Development 2025ZY0033Central Guide Local Science and Technology Development Fund Project 2025ZY0033National Natural Science Foundation of China 82371500, U22A20303, 82260359
6 · The paper itself

Abstract

backgroundInternet gaming disorder (IGD) often emerges in youth, yet early, brain-based risk stratification for IGD is scarce. Impulsivity is a central vulnerability factor for IGD that may provide informative biomarkers. Our primary objective was to identify high-risk IGD subgroup and derive biomarkers from impulsivity-anchored resting-state functional connectivity (RSFC).

methodsIn a cross-sectional sample (N = 770: 642 controls, 128 IGD), we derived RSFC features positively and negatively correlated with trait impulsivity to predict current IGD severity from positive-only, negative-only, and combined feature sets. In a 2-year longitudinal discovery cohort (N = 220) and an independent replication cohort (N = 65), we applied improved deep embedded clustering to baseline impulsivity-linked RSFC to identify subtypes, evaluated prospective IGD conversion in each subtype, examined subtype-specific RSFC signatures, and illuminated whether baseline impulsivity was associated with future risk of IGD through specific circuits.

resultsCombining positively and negatively impulsivity-linked RSFC outperformed either alone in predicting current IGD severity (training r = 0.73, p < 0.0001; testing r = 0.27, p = 0.009; higher than two single-pattern models, p = 0.028 and p < 0.0001, respectively). Two subtypes emerged; the high-risk subtype showed greater 2-year IGD conversion (23.61% vs. 6.76%; χ

conclusionsImpulsivity-related RSFC identified a youth subtype at elevated risk for developing IGD. This high-risk subtype showed a higher future IGD conversion rate, greater subsequent increases in IGD severity, and a baseline orbitofrontal-occipital connectivity imbalance. These findings suggest that an orbitofrontal-occipital circuit imbalance may serve as a potential marker for identifying IGD risk in youth.

Indexed as

BrainImpulsive BehaviorInternet Addiction DisorderVideo GamesAdolescentCross-Sectional StudiesFemaleHumansInternetLongitudinal StudiesMagnetic Resonance ImagingMaleYoung AdultDeep clusteringImpulsivityInternet gaming disorderResting-state functional connectivitySubtyping

Identifiers

PMID41888807
PMCPMC13141395

What Socratic 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 Socratic graph.