Evidence map›Paper›PMID 39944189›Full record

ArticleInternational journal of clinical and health psychology : IJCHP

Transdiagnostic study of dynamic brain activity and connectivity among people with gambling and internet gaming disorders: DYNAMIC BRAIN ACTIVITY IN GD AND IGD.

Hui Zhou, Yuwen He, Lulu Liu, Jingwen Yin, Anita Yingxin Xiong, Ka Heng Leong, Anise M S Wu, Marc N Potenza

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Article in International journal of clinical and health psychology : IJCHP. 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hui ZhouDepartment of Psychology, School of Educational Sciences, Chongqing Normal University, Chongqing, China.
Yuwen HeCentre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, China.
Lulu LiuCentre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, China.
Jingwen YinCentre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, China.
Anita Yingxin XiongCentre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, China.
Ka Heng LeongCentre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, China.
Anise M S WuCentre for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, China.
Marc N PotenzaYale University School of Medicine, New Haven, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite both internet gaming disorder (IGD) and gambling disorder (GD) being officially recognized as medical conditions by the World Health Organization, controversies persist. A transdiagnostic study may help inform classification and intervention approaches. IGD and GD may share or have distinct neural and behavioral features. To investigate, resting-state functional magnetic resonance imaging (fMRI) and self-reported behavioral data were collected from 58 individuals with GD, 31 with IGD, and 83 healthy control (HC) participants. After controlling for demographics, both GD and IGD groups scored lower on measures of gambling-related positive play. Neural data revealed reduced brain connectivity in the right rectus/orbital frontal gyrus in GD and IGD groups compared to HC participants. IGD participants displayed increased dynamic brain activity in the left triangular inferior frontal gyrus compared with GD and HC participants. Relatively decreased modular flexibility was also observed in GD but not IGD participants, relative to HC participants. Multiclass classification results showed that the indicators of gambling-related positive play, as well as dynamic brain activity and connectivity patterns, were useful for classifying GD, IGD, and HC participants, outperforming the use of either neural signals or self-report indicators alone. The shared phenotypes of GD and IGD groups provide insight into common features of behavioral addictions, and the combination of self-report and neural measures may provide the most robust approach for classification of diagnostic groups.

Indexed as

Addictive behaviorsCompulsive behaviorsfMRIGamblingImpulsive behaviorsResting-stateVideo games

Identifiers

PMID39944189
PMCPMC11815891

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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.