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Fujimoto Y, Fujino J, Matsuyoshi D, Jitoku D, Kobayashi N, Qian C, Okuzumi S, Tei S, Tamura T, Ueno T, Yamada M, Takahashi H. Neural responses to gaming content on social media in young adults. Behav Brain Res 2024; 467:115004. [PMID: 38631660 DOI: 10.1016/j.bbr.2024.115004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 04/15/2024] [Accepted: 04/15/2024] [Indexed: 04/19/2024]
Abstract
Excessive gaming can impair both mental and physical health, drawing widespread public and clinical attention, especially among young generations. People are now more exposed to gaming-related content on social media than before, and this exposure may have a significant impact on their behavior. However, the neural mechanisms underlying this effect remain unexplored. Using functional magnetic resonance imaging (fMRI), this study aimed to investigate the neural activity induced by gaming-related content on social media among young adults casually playing online games. While being assessed by fMRI, the participants watched gaming-related videos and neutral (nongaming) videos on social media. The gaming-related cues significantly activated several brain areas, including the medial prefrontal cortex, posterior cingulate cortex, hippocampus, thalamus, superior/middle temporal gyrus, precuneus and occipital regions, compared with the neutral cues. Additionally, the participants' gaming desire levels positively correlated with a gaming-related cue-induced activation in the left orbitofrontal cortex and the right superior temporal gyrus. These findings extend previous studies on gaming cues and provide useful information to elucidate the effects of gaming-related content on social media in young adults. Continued research using real-world gaming cues may help improve our understanding of promoting gaming habits and provide support to individuals vulnerable to gaming addiction.
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Affiliation(s)
- Yuka Fujimoto
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan; Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan; Department of Psychiatry, Nara Medical University, Nara, Japan
| | - Junya Fujino
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan; Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan.
| | - Daisuke Matsuyoshi
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Daisuke Jitoku
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Nanase Kobayashi
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Chenyu Qian
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Shoko Okuzumi
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Shisei Tei
- Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan; Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan; Institute of Applied Brain Sciences, Waseda University, Saitama, Japan; School of Human and Social Sciences, Tokyo International University, Saitama, Japan
| | - Takehiro Tamura
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takefumi Ueno
- Division of Clinical Research, National Hospital Organization, Hizen Psychiatric Medical Center, Saga, Japan
| | - Makiko Yamada
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba, Japan; Department of Functional Brain Imaging, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Hidehiko Takahashi
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan; Medical Institute of Developmental Disabilities Research, Showa University, Tokyo, Japan; Center for Brain Integration Research, Tokyo Medical and Dental University, Tokyo, Japan
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Zhang P, Pan Y, Zha R, Song H, Yuan C, Zhao Q, Piao Y, Ren J, Chen Y, Liang P, Tao R, Wei Z, Zhang X. Impulsivity-related right superior frontal gyrus as a biomarker of internet gaming disorder. Gen Psychiatr 2023; 36:e100985. [PMID: 37583792 PMCID: PMC10423834 DOI: 10.1136/gpsych-2022-100985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 07/12/2023] [Indexed: 08/17/2023] Open
Abstract
Background Internet gaming disorder (IGD) is a mental health issue that affects individuals worldwide. However, the lack of knowledge about the biomarkers associated with the development of IGD has restricted the diagnosis and treatment of this disorder. Aims We aimed to reveal the biomarkers associated with the development of IGD through resting-state brain network analysis and provide clues for the diagnosis and treatment of IGD. Methods Twenty-six patients with IGD, 23 excessive internet game users (EIUs) who recurrently played internet games but were not diagnosed with IGD and 29 healthy controls (HCs) performed delay discounting task (DDT) and Iowa gambling task (IGT). Resting-state functional magnetic resonance imaging (fMRI) data were also collected. Results Patients with IGD exhibited significantly lower hubness in the right medial orbital part of the superior frontal gyrus (ORBsupmed) than both the EIU and the HC groups. Additionally, the hubness of the right ORBsupmed was found to be positively correlated with the highest excessive internet gaming degree during the past year in the EIU group but not the IGD group; this might be the protective mechanism that prevents EIUs from becoming addicted to internet games. Moreover, the hubness of the right ORBsupmed was found to be related to the treatment outcome of patients with IGD, with higher hubness of this region indicating better recovery when undergoing forced abstinence. Further modelling analysis of the DDT and IGT showed that patients with IGD displayed higher impulsivity during the decision-making process, and impulsivity-related parameters were negatively correlated with the hubness of right ORBsupmed. Conclusions Our findings revealed that the impulsivity-related right ORBsupmed hubness could serve as a potential biomarker of IGD and provide clues for the diagnosis and treatment of IGD.
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Affiliation(s)
- Pengyu Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Yu Pan
- Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China
| | - Rujing Zha
- Department of Psychology, School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, Anhui, China
| | - Hongwen Song
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Cunfeng Yuan
- Drug Rehabilitation Administration, Ministry of Justice of the People's Republic of China, Beijing, China
| | - Qian Zhao
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Yi Piao
- Application Technology Center of Physical Therapy to Brain Disorders, Institute of Advanced Technology, University of Science and Technology of China, Hefei, Anhui, China
| | - Jiecheng Ren
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Yijun Chen
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Peipeng Liang
- School of Psychology, Beijing Key Laboratory of Learning and Cognition, Capital Normal University, Beijing, China
| | - Ran Tao
- Department of Psychological Medicine, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Zhengde Wei
- Department of Psychology, School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, Anhui, China
| | - Xiaochu Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
- Department of Psychology, School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, Anhui, China
- Application Technology Center of Physical Therapy to Brain Disorders, Institute of Advanced Technology, University of Science and Technology of China, Hefei, Anhui, China
- Institute of Health and Medicine, Hefei Comprehensive Science Center, Hefei, Anhui, China
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Weinstein A. Problematic Internet usage: brain imaging findings. Curr Opin Behav Sci 2022. [DOI: 10.1016/j.cobeha.2022.101209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Rosendo-Rios V, Trott S, Shukla P. Systematic literature review online gaming addiction among children and young adults: A framework and research agenda. Addict Behav 2022; 129:107238. [PMID: 35104738 DOI: 10.1016/j.addbeh.2022.107238] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 12/22/2021] [Accepted: 01/10/2022] [Indexed: 11/28/2022]
Abstract
Online gaming addiction refers to a persistent and recurrent use of internet to engage in games leading to significant impairment or distress in a person's life. With the current pandemic, media reports suggest that the greater access of online devices among children and young adults has intensified online gaming addiction. However, the domain of online gaming addiction is a relatively new phenomenon with disparate studies examining various facets of it. Hence, the purpose of this research is to analyze the existing literature in order to identify the emerging trends in this area and to provide a systematic review that can be used as guidance for future research in this emerging field. Starting from the gaps that this review highlights, the proposed directions will help scholars find issues and gaps not sufficiently explored that can constitute the bases for further research pathways.
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Affiliation(s)
| | | | - Paurav Shukla
- Southampton Business School, University of Southampton, Southampton, UK.
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A dual-process perspective to explore decision making in internet gaming disorder: An ERP study of comparison with recreational game users. COMPUTERS IN HUMAN BEHAVIOR 2022. [DOI: 10.1016/j.chb.2021.107104] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Emotion dysregulation and pediatric obesity: investigating the role of Internet addiction and eating behaviors on this relationship in an adolescent sample. Eat Weight Disord 2021; 26:1767-1779. [PMID: 32893330 DOI: 10.1007/s40519-020-00999-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 08/27/2020] [Indexed: 10/23/2022] Open
Abstract
OBJECTIVE The first aim was to investigate whether there was a mediator role of Internet addiction or uncontrolled/emotional eating on the association between emotion dysregulation and body mass index-standard deviation score (BMI-SDS). The second aim was to detect which of these variables (emotion dysregulation, Internet addiction, and uncontrolled/emotional eating) significantly affect the presence of obesity (OB). METHODS A total of 123 adolescents (OB (n = 65, 57% of girls, mean age = 15 ± 1.9, BMI percentile between 95 and 99) and healthy control (HC) (n = 58; 53% of girls, mean age = 15.5 ± 1.8, BMI percentile between 1 and 84) aged between 11 and 18 were recruited. Difficulties in Emotion Regulation Scale (DERS) and Internet Addiction Test (IAT) were completed by adolescents. Uncontrolled and emotional eating behaviors were measured by Three Factors Eating Questionnaire (TFE-Q)'s sub-domains. RESULTS There was no significant direct effect of DERS on BMI-SDS, whereas the indirect effect of DERS on BMI-SDS which was mediated by both IAT and TFE-Q was statistically significant. In logistic regression analysis, an increase by 1 point in DERS total score escalated the odds of being OB by 2%. Moreover, a 22-fold increased risk of OB has been detected in moderate/severe Internet addiction compared to no addiction. CONCLUSION This cross-sectional study showed that the association between emotion dysregulation and BMI-SDS was totally mediated by internet addiction and uncontrolled/emotional eating. In addition, emotion dysregulation and Internet addiction were significant determinants of OB. A prospective study is needed to detect the causal relationship between these variables. LEVEL OF EVIDENCE Level III, case-control analytic study.
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Yan H, Li Q, Yu K, Zhao G. Large-scale network dysfunction in youths with Internet gaming disorder: a meta-analysis of resting-state functional connectivity studies. Prog Neuropsychopharmacol Biol Psychiatry 2021; 109:110242. [PMID: 33434637 DOI: 10.1016/j.pnpbp.2021.110242] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/25/2020] [Accepted: 01/04/2021] [Indexed: 10/22/2022]
Abstract
Internet gaming disorder (IGD) has been defined as a specific behavioral disorder, associated with abnormal interactions among large-scale brain networks. Researchers have sought to identify the network dysfunction in IGD using resting-state functional connectivity (rsFC). However, results across studies have not reached an agreement yet and the mechanism remains unclear. The present research aimed to investigate network dysfunction in IGD through a meta-analysis of rsFC studies. Twenty-two seed-based voxel-wise rsFC studies from 25 publications (594 individuals with IGD and 496 healthy controls) were included. By categorizing seeds into seed-networks based on their location within a prior functional network parcellations, we performed a Multilevel kernel density analysis (MKDA) within each seed-network to identify which brain systems showed abnormal interaction with particular seed-network in individuals with IGD. Compared to healthy control groups, individuals with IGD exhibited significant hypoconnectivity within the default mode network, and enhanced connectivity between the default mode network and insula within the ventral attention network. IGD was also associated with increased connectivity between the ventral attention network and somatomotor regions. Furthermore, the IGD groups showed hyperconnectivity between the limbic network and regions of the frontoparietal network. The results suggest that individuals with IGD show large-scale functional network alteration which underpins their core symptoms including poor emotional competence, cue-reactivity and craving, habitual addictive behaviors and impaired executive control. Whether the compensation mechanism exists in IGD is discussed, and further research is needed. The findings provide a neurocognitive network model of IGD, which may serve as functional biomarkers for IGD and have potentials for development of effective diagnosis and therapeutic interventions.
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Affiliation(s)
- Haijiang Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Qi Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Learning and Cognition, Department of Psychology, Capital Normal University, Beijing, China
| | - Kai Yu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Guozhen Zhao
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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Chen S, Wang M, Dong H, Wang L, Jiang Y, Hou X, Zhuang Q, Dong GH. Internet gaming disorder impacts gray matter structural covariance organization in the default mode network. J Affect Disord 2021; 288:23-30. [PMID: 33839555 DOI: 10.1016/j.jad.2021.03.077] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 03/19/2021] [Accepted: 03/23/2021] [Indexed: 12/29/2022]
Abstract
INTRODUCTION Although previous studies have revealed that dysfunctional brain organization is associated with internet gamingdisorder (IGD), the neuroanatomical basis that underlies IGD remains elusive. In this work, we aimed to investigate gray matter (GM) volume alterations and structural covariance patterns in relation to IGD severity. METHODS Structural magnetic resonance imaging data were acquired from two hundred and thirty young adults encompassing a wide range of IGD severity. Voxel-based morphometry (VBM) analysis was applied to examine GM volume changes associated with IGD severity. Furthermore, the organization of whole-brain structural covariance network (SCN) was analyzed using the regions identified as seeds from VBM analysis. RESULTS Individuals with greater IGD severity had increased GM volumes in the midline components of the default mode network (DMN), namely, the right medial prefrontal cortex (mPFC) and precuneus. More importantly, the SCN results revealed impaired patterns of structural covariance between the DMN-related regions and areas associated with visuospatial attention and reward craving processing as the addiction severity of IGD worsened. LIMITATIONS Only young Chinese adults were enrolled in our study andthe extent to which findings generalize to samples in other age groups and diverse cultures is unclear. CONCLUSIONS These results showed volume expansion of the DMN components and its weakened structural association with visuospatial attention and motivational craving regions with increasing IGD severity. This study deepens our understanding of the underlying neuroanatomical correlates of IGD, which may help to explain why some individuals are more vulnerable to compulsive gaming usage than others.
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Affiliation(s)
- Shuaiyu Chen
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Min Wang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Haohao Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Lingxiao Wang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Yuchao Jiang
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, China
| | - Xin Hou
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Qian Zhuang
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, China
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China.
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