Evidence map›Paper›PMID 41927766›Full record

ArticleMolecular psychiatry2026

Neural representations of dynamical state and trait impulsivity in individuals at risk for internet gaming disorder.

Haichao Zhao, Zhibing Xiao, Shuyu Li, Jiali Liu, Qinghua He

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Article in Molecular psychiatry, 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Haichao ZhaoFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, 400715, China.ORCID http://orcid.org/0000-0003-0396-1707
Zhibing XiaoState Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.ORCID http://orcid.org/0000-0002-0457-0233
Shuyu LiState Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.ORCID http://orcid.org/0000-0002-3459-6821
Jiali LiuFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, 400715, China. ljl20240108@swu.edu.cn.
Qinghua HeFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, 400715, China. heqinghua@swu.edu.cn.ORCID http://orcid.org/0000-0001-6396-6273

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31972906National Natural Science Foundation of China (National Science Foundation of China) 32300859Natural Science Foundation of Chongqing (Natural Science Foundation of Chongqing Municipality) 2023NSCQ-MSX0899
6 · The paper itself

Abstract

Impulsivity is a core symptom across multiple addictive disorders, including internet gaming disorder (IGD), yet its multidimensional nature-particularly the neural basis of state and trait impulsivity in IGD-remains poorly understood. We aimed to elucidate the neural correlates of both impulsivity dimensions and uncover how IGD interacts with the heightened impulsive tendencies. Here we conducted a fMRI study with 87 college students at risk for IGD, employing a modified card-guessing task to capture state impulsivity under a loss decision framework. Modified card-guessing paradigm was applied to assess subjects' state-impulsivity via the loss chasing behavior-the tendency to increase wagers to recover previous losses. Trait impulsivity was assessed using the UPPS-P scale. Another independent cohort (n = 84) with similar IGD profiles was further to validate our finding. Behavioral modelling indicated that state impulsivity, manifesting as the loss chasing behavior (i.e., higher wagers under the loss decision framework), dynamically increased as a function of the loss streaks. Neuroimaging analyses identified key brain regions-such as the right middle frontal gyrus, superior frontal gyrus, striatum, and insula-whose activation during loss feedback predicted subsequent impulsive decisions. These neural signatures of state impulsivity successfully distinguished high-risk IGD individuals. Crucially, resting-state functional connectivity (rs-FC) within these regions not only identified IGD risk but also predicted trait impulsivity. Mediation analysis further demonstrated that IGD's influence on trait impulsivity was indirectly mediated by rs-FC patterns linked to state impulsivity. Our findings elucidate the distinct yet interconnected neural representations of state and trait impulsivity in IGD, underscoring the neurobehavioral continuum linking transient impulsive states to enduring impulsive traits in IGD.

Indexed as

Impulsive BehaviorInternet Addiction DisorderAdolescentAdultBehavior, AddictiveBrainBrain MappingFemaleHumansInternetMagnetic Resonance ImagingMaleVideo GamesYoung Adult

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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.