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Núñez-Rodríguez S, Burgos-González D, Mínguez-Mínguez LA, Menéndez-Vega F, Antoñanzas-Laborda JL, González-Bernal JJ, González-Santos J. Effectiveness of Therapeutic Interventions in the Treatment of Internet Gaming Disorder: A Systematic Review. Eur J Investig Health Psychol Educ 2025; 15:49. [PMID: 40277866 PMCID: PMC12025817 DOI: 10.3390/ejihpe15040049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2025] [Revised: 03/17/2025] [Accepted: 03/22/2025] [Indexed: 04/26/2025] Open
Abstract
Internet Gaming Disorder (IGD) has been recognized by the World Health Organization (WHO) in the International Classification of Diseases (ICD-11) and as an emerging condition in the DSM-5. IGD is increasingly prevalent, with various negative effects on individuals' development and adaptation. To address this issue, different therapeutic interventions, like CBT, virtual reality, mindfulness, or family therapy, have been explored. This systematic review aimed to answer the following research question: What is the effectiveness of therapeutic interventions in reducing IGD symptoms in adolescents and young adults diagnosed with this disorder? Following PRISMA guidelines, 22 studies published between 2014 and 2025 were included. Results show that cognitive behavioral therapy (CBT) is the most effective intervention, significantly reducing IGD severity, anxiety, and depression. Combining CBT with physical exercise or mindfulness further enhanced outcomes. Other promising approaches include virtual reality (VR), transcranial direct current stimulation (tDCS), and family-based interventions. Additionally, treatments involving mindfulness and animal-assisted therapy showed potential in improving emotional regulation and interpersonal relationships. However, further research is needed to evaluate long-term efficacy and explore emerging therapies.
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Affiliation(s)
- Sandra Núñez-Rodríguez
- Department of Health Sciences, University of Burgos, 09001 Burgos, Spain; (S.N.-R.); (D.B.-G.); (L.A.M.-M.); (J.J.G.-B.); (J.G.-S.)
| | - David Burgos-González
- Department of Health Sciences, University of Burgos, 09001 Burgos, Spain; (S.N.-R.); (D.B.-G.); (L.A.M.-M.); (J.J.G.-B.); (J.G.-S.)
| | - Luis Alberto Mínguez-Mínguez
- Department of Health Sciences, University of Burgos, 09001 Burgos, Spain; (S.N.-R.); (D.B.-G.); (L.A.M.-M.); (J.J.G.-B.); (J.G.-S.)
| | - Félix Menéndez-Vega
- Department of Health Sciences, University of Burgos, 09001 Burgos, Spain; (S.N.-R.); (D.B.-G.); (L.A.M.-M.); (J.J.G.-B.); (J.G.-S.)
| | | | - Jerónimo Javier González-Bernal
- Department of Health Sciences, University of Burgos, 09001 Burgos, Spain; (S.N.-R.); (D.B.-G.); (L.A.M.-M.); (J.J.G.-B.); (J.G.-S.)
| | - Josefa González-Santos
- Department of Health Sciences, University of Burgos, 09001 Burgos, Spain; (S.N.-R.); (D.B.-G.); (L.A.M.-M.); (J.J.G.-B.); (J.G.-S.)
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Li Z, He Q, Elhai JD, Montag C, Yang H. Neural mechanisms of behavioral addiction: An ALE meta-analysis and MACM analysis. J Behav Addict 2025; 14:18-38. [PMID: 39853319 PMCID: PMC11974436 DOI: 10.1556/2006.2024.00082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 10/09/2024] [Accepted: 12/26/2024] [Indexed: 01/26/2025] Open
Abstract
Background and aims Behavioral addictions (BAs) represent complex and multifaceted disorders often associated with maladaptive neural alteration. To deepen our understanding of the essence of BAs, this study focuses on the neural mechanisms underlying its three stages: reward seeking, self-control, and decision-making. The aim of the current meta-analysis is to investigate the brain regions and neural networks involved in BAs. Methods Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we systematically searched for relevant articles published before September 1, 2024, in the Web of Science and PubMed databases, and supplemented our search with Google Scholar. We conducted analyses using activation likelihood estimation (ALE) meta-analysis and meta-analytic connectivity modeling (MACM) analyses. Results A total of 50 functional magnetic resonance imaging studies involving 906 participants were included. The findings showed that individuals with BAs exhibited hyperactivation in the right inferior frontal gyrus (IFG), bilateral caudate and left middle frontal gyrus (MFG), and a high degree of connectivity was found between the right caudate, left caudate, and right IFG. These findings indicated that BAs were associated with the fronto-striatal circuits. Individuals with BAs demonstrate specific neural activation patterns in the reward seeking, self-control, and decision-making stages, characterized by differences in activation and functional connectivity of brain regions associated with these stages. Discussion and conclusions This study verifies the pivotal role of the fronto-striatal circuits in BAs and highlights the specific patterns of brain activity in different stages of addictive behavior. These findings expand our understanding of neural mechanisms underlying BAs and supports and provide partial support for the I-PACE model.
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Affiliation(s)
- Zhaolan Li
- Academy of Psychology and Behavior, Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
| | - Quanxing He
- Academy of Psychology and Behavior, Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
| | - Jon D. Elhai
- Department of Psychology, University of Toledo, Toledo, OH, 43606, USA
- Department of Psychiatry, University of Toledo, Toledo, OH, 43614, USA
| | - Christian Montag
- Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, 89081 Ulm, Germany
| | - Haibo Yang
- Academy of Psychology and Behavior, Faculty of Psychology, Tianjin Normal University, Tianjin, 300387, China
- Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin 300387, China
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Zheng YB, Zhang SN, Tang HD, Wang SW, Lin X, Bao YP, Wang YM, Griffiths MD, Sun J, Han Y, Lu L. Gaming disorder: Neural mechanisms and ongoing debates. J Behav Addict 2025; 14:55-78. [PMID: 39786382 PMCID: PMC11974403 DOI: 10.1556/2006.2024.00071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 06/23/2024] [Accepted: 11/24/2024] [Indexed: 01/12/2025] Open
Abstract
Background and aims The inclusion of gaming disorder as a new diagnosis in the 11th revision of the International Statistical Classification of Diseases (ICD-11) has caused ongoing debate. This review aimed to summarise the potential neural mechanisms of gaming disorder and provide additional evidence for this debate. Methods We conducted a comprehensive literature review of gaming disorder, focusing on studies that investigated its clinical characteristics and neurobiological mechanisms. Based on this evidence, we further discuss gaming disorder as a psychiatric disorder. Results The present review demonstrated that the brain regions involved in gaming disorder are related to executive functioning (e.g., anterior cingulate cortex and dorsolateral prefrontal cortex), reward systems (e.g., striatum and orbitofrontal cortex), and emotional regulation (e.g., insula and amygdala). Despite the inclusion of gaming disorder in the ICD-11, the debate remains on the benefits and harms of classifying it as a mental health disorder. Opponents argue that the current manifestations that support gaming disorder as a psychiatric disorder remain inadequate, it could cause moral panic among healthy gamers, and that the label of gaming disorder is stigmatising. Discussion Evidence suggests that gaming disorder shares similar neurobiological alterations with other types of behavioural and substance-related addictions, which further supports gaming disorder as a behavioural addiction. Ongoing debates on whether gaming disorder is a psychiatric disorder push for further exploring the nature of gaming disorder and resolving this dilemma in the field.
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Affiliation(s)
- Yong-Bo Zheng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | | | - Hua-Da Tang
- Peking University First Hospital, Peking University, Beijing, China
| | - San-Wang Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xiao Lin
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yan-Ping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing, China
| | - Yu-Mei Wang
- Department of Psychology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Mark D. Griffiths
- International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham NG1 4FQ, UK
| | - Jie Sun
- Pain Medicine Center, Peking University Third Hospital, Beijing, China
| | - Ying Han
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing, China
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence Research, Peking University, Beijing, China
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Xue R, Li J, Yang H. The hemispheric differences in prefrontal function of Internet game disorder and non-Internet game disorder: an activation likelihood estimation meta-analysis. Cereb Cortex 2025; 35:bhae493. [PMID: 39756429 DOI: 10.1093/cercor/bhae493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 12/05/2024] [Accepted: 12/12/2024] [Indexed: 01/07/2025] Open
Abstract
This study explored the differences in brain activation between individuals with and without Internet gaming disorder (IGD) through activation likelihood estimation analysis. In total, 39 studies were included based on the inclusion and exclusion criteria by searching the literature in the PubMed and Web of Science databases, as well as reading other reviews. The analysis revealed that the activated brain regions in IGD were the right inferior frontal gyrus, left cingulate gyrus, and left lentiform nucleus. In comparison, the activated brain regions in non-IGD were the left middle frontal, left inferior frontal, left anterior cingulate, left precentral, and right precentral gyri. The results of the present study on differences in activation further confirm existing theoretical hypotheses. Future studies should explore hemispheric differences in prefrontal brain function between IGD and non-IGD.
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Affiliation(s)
- Rui Xue
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, No. 393 Binshuixi Road, Xiqing District, Tianjin 300387, China
- Faculty of Psychology, Tianjin Normal University, No. 393 Binshuixi Road, Xiqing District, Tianjin 300387, China
| | - Jiaqi Li
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, No. 393 Binshuixi Road, Xiqing District, Tianjin 300387, China
- Faculty of Psychology, Tianjin Normal University, No. 393 Binshuixi Road, Xiqing District, Tianjin 300387, China
| | - Haibo Yang
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, No. 393 Binshuixi Road, Xiqing District, Tianjin 300387, China
- Faculty of Psychology, Tianjin Normal University, No. 393 Binshuixi Road, Xiqing District, Tianjin 300387, China
- Tianjin Key Laboratory of Student Mental Health and Intelligence Assessment, No. 393 Binshuixi Road, Xiqing District, Tianjin 300387, China
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Ma L, Zhang M, Niu X, Tao Q, Dang J, Sun J, Mei B, Wang W, Han S, Cheng J, Zhang Y. Alternations voxel-wise interhemispheric and intrahemipheric functional connectivity dynamics in internet gaming disorder. J Affect Disord 2025; 369:662-670. [PMID: 39419186 DOI: 10.1016/j.jad.2024.10.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2024] [Revised: 08/30/2024] [Accepted: 10/14/2024] [Indexed: 10/19/2024]
Abstract
BACKGROUND Currently, numerous studies have indicated that individuals with internet gaming disorder (IGDs) have aberrant functional connection patterns between multiple brain regions and networks. However, temporal variability in the intra- and interhemispheric dynamic functional connectivity in IGDs remains unknown. METHODS This study investigated resting-state functional magnetic resonance data from 55 IGDs and 50 demographically matched healthy controls (HCs). Functional connectivity density (FCD) combined with sliding window analysis is employed to calculate the temporal variability of global functional connectivity. The temporal variability of dynamic functional connectivity further quantified utilizing the standard deviations of global, intra-, and interhemispheric FCD. Finally, correlation analyses were performed between dynamic FCD varience (dFCD) in differential brain regions and clinical behaviors. RESULT IGDs showed decreased intra- and interhemispheric dFCD variance in the visual attention network (precuneus and calcarine) and also demonstrated hemispheric-level dFCD variance abnormalities in the posterior cingulate cortex (PCC) compared to HCs. Moreover, abnormal global dFCD variability of the calcarine and ipsilateral dFCD variability of the PCC were negatively correlated with the severity of IGDs in the IGD group. CONCLUSION Our results demonstrate abberant intra- and interhemispheric dynamic functional connectivity in the visual attention network, which emphasizes the neurobiological basis for impaired concentration in IGDs.
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Affiliation(s)
- Longyao Ma
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China
| | - Xiaoyu Niu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China
| | - Jinghan Dang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China
| | - Jieping Sun
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China
| | - Bohui Mei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China.
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Oka T, Kubo T, Kobayashi N, Murakami M, Chiba T, Cortese A. Decoding and modifying dynamic attentional bias in gaming disorder. Philos Trans R Soc Lond B Biol Sci 2024; 379:20230090. [PMID: 39428882 PMCID: PMC11491851 DOI: 10.1098/rstb.2023.0090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 02/26/2024] [Accepted: 05/15/2024] [Indexed: 10/22/2024] Open
Abstract
With the spread of smartphones and computer games, concerns have escalated regarding the rising prevalence of gaming disorder. Patients often display attentional biases, unconsciously turning their attention towards gaming-related stimuli. However, attempts to discover and ameliorate these attentional deficits have yielded inconsistent outcomes, potentially due to the dynamic nature of attentional bias. This study investigated neural mechanisms underlying attentional bias state by combining neuroimaging (functional magnetic resonance imaging -fMRI) with an approach-avoidance task tailored to an individual's gaming preference. We conducted a multivariate pattern analysis of endogenous brain activity in 21 participants with probable gaming disorder. Our analyses revealed that activity patterns in the insula tracked temporal attentional bias states specific to gaming stimuli. A broad network of frontal and parietal regions instead appeared to predict a general temporal attentional bias state. Finally, we conducted a proof-of-concept study for 'just-in-time' attentional bias training through fMRI-decoded neurofeedback of insula activity patterns, named decoded attentional bias training (DecABT). Our preliminary results suggest that DecABT may help to decrease the attractiveness of gaming stimuli via a insula- and precuneus-based neural mechanism. This work provides new evidence for the insula as an endogenous regulator of attentional bias states in gaming disorder and a starting point to develop novel, individualized therapeutic approaches to treat addiction.This article is part of the theme issue 'Neurofeedback: new territories and neurocognitive mechanisms of endogenous neuromodulation'.
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Affiliation(s)
- Taiki Oka
- Department of Decoded Neurofeedback, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan
- Department of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
- Clinical Psychology, Graduate School of Human Sciences, Osaka University, Suita, Japan
| | - Takatomi Kubo
- Department of Decoded Neurofeedback, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan
- Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan
| | - Nao Kobayashi
- Healthcare Medical Group, Life Science Laboratories, KDDI Research, Inc., Saitama, Japan
| | - Misa Murakami
- Department of Decoded Neurofeedback, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan
| | - Toshinori Chiba
- Department of Decoded Neurofeedback, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan
- Department of Psychiatry, Self-Defense Forces Hanshin Hospital, Kawanishi, Japan
| | - Aurelio Cortese
- Department of Decoded Neurofeedback, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan
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Mei B, Tao Q, Dang J, Niu X, Sun J, Zhang M, Wang W, Han S, Zhang Y, Cheng J. Meta-analysis of structural and functional abnormalities in behavioral addictions. Addict Behav 2024; 157:108088. [PMID: 38924904 DOI: 10.1016/j.addbeh.2024.108088] [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: 02/10/2024] [Revised: 06/07/2024] [Accepted: 06/08/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND The incidence of behavioral addictions (BAs) associated with scientific and technological advances has been increasing steadily. Unfortunately, a large number of studies on the structural and functional abnormalities have shown poor reproducibility, and it remains unclear whether different addictive behaviors share common underlying abnormalities. Therefore, our objective was to conduct a quantitative meta-analysis of different behavioral addictions to provide evidence-based evidence of common structural and functional changes. METHODS We conducted systematic searches in PubMed, Web of Science and Scopus from January 2010 to December 2023, supplementing reference lists of high-quality relevant meta-analyses and reviews, to identify eligible voxel-based morphometry (VBM) and functional magnetic resonance imaging (fMRI) studies. Using anisotropic seed-based D-Mapping (AES-SDM) meta-analysis methods, we compared brain abnormalities between BAs and healthy controls (HCs). RESULTS There were 11 GMV studies (287 BAs and 292 HCs) and 26 fMRI studies (577 BAs and 545 HCs) that met inclusion criteria. Compared with HCs, BAs demonstrated significant reductions in gray matter volume (GMV) in (1) right anterior cingulate gyri extending into the adjacent superior frontal gyrus, as well as in the left inferior frontal gyrus and right striatum. (2) the bilateral precuneus, right supramarginal gyrus, and right fusiform gyrus were hyperfunction; (3) the left medial cingulate gyrus extended to the superior frontal gyrus, the left inferior frontal gyrus, and right middle temporal gyrus had hypofunction. CONCLUSIONS Our study identified structural and functional impairments in brain regions involved in executive control, cognitive function, visual memory, and reward-driven behavior in BAs. Notably, fronto-cingulate regions may serve as common biomarkers of BAs.
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Affiliation(s)
- Bohui Mei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Jinghan Dang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Xiaoyu Niu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Jieping Sun
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China.
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China.
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China.
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Heo YJ, Lee GE, Lee JH. The role of attentional control in moderating attentional bias towards game-related stimuli in individuals with a high tendency for internet gaming addiction. Front Psychiatry 2024; 15:1355204. [PMID: 39257562 PMCID: PMC11383770 DOI: 10.3389/fpsyt.2024.1355204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 07/30/2024] [Indexed: 09/12/2024] Open
Abstract
Background The aim of this study was to elucidate individual difference factors that modulate the attentional processing of game stimuli to explain the heterogeneity of extant findings. The current study examined whether individual differences in components of attentional control (AC-shifting and AC-focusing) moderated the link between internet gaming addiction symptom and attentional engagement to and disengagement biases from game-relevant cues. Methods A total of 75 male undergraduate students who have played League of Legend (LOL) for more than 2 years completed well-established self-report questionnaires of internet gaming disorder symptoms and attentional control. The attentional bias toward game stimuli was measured for attentional engagement and disengagement using the attentional response to the distal vs. proximal emotional information (ARDPEI) task. Results The results revealed that attentional control was a significant moderator of the relationship between internet game addiction symptoms and attentional disengagement bias. Further analyses revealed a positive relationship between internet game addiction symptoms and attentional disengagement bias only among those with low levels of AC-shifting ability. Contrary to our expectations, AC-shifting also moderated the relationship between internet gaming disorder and attentional engagement bias. The positive relationship between internet game addiction symptoms and attentional engagement bias only appeared among those with low levels of AC-shifting ability. Individual differences in AC-focusing did not moderate the relationship between internet gaming disorder and any attentional bias. Conclusion This study confirmed that the greater the symptoms of game addiction, the stronger the attentional bias, especially in individuals with low AC-shifting ability. Therefore, it is necessary to examine sub-factors of AC in understanding the nature of attentional bias mechanisms in the development of internet game addiction and consider it as a psychological intervention to improve attentional bias.
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Affiliation(s)
- Yea-Ji Heo
- Department of Psychology, Chung-Ang University, Seoul, Republic of Korea
| | - Gi-Eun Lee
- Department of Psychology, Chung-Ang University, Seoul, Republic of Korea
| | - Jang-Han Lee
- Department of Psychology, Chung-Ang University, Seoul, Republic of Korea
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Wang Y, Li Y, Liu B, Zhao X, Geng X, Zhu W, Ding X. Adolescent Internet Gaming Disorder and sensitivity to money and social rewards. Acta Psychol (Amst) 2024; 248:104431. [PMID: 39059243 DOI: 10.1016/j.actpsy.2024.104431] [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: 01/09/2024] [Revised: 07/03/2024] [Accepted: 07/23/2024] [Indexed: 07/28/2024] Open
Abstract
Internet Gaming Disorder (IGD) is a behavioural addiction characterised by excessive exposure to addictive stimuli, resulting in reduced sensitivity of the brain's reward system towards everyday rewards. Online game addiction is prevalent among adolescents; however, it remains unclear if there are variations in reward processing patterns among adolescents with online game addiction. We compared differences in sensitivity to two types of rewards between patients with IGD and patients with Recreational Game Use (RGU) using the Monetary Incentive Delay (MID) paradigm and the Social Incentive Delay (SID) paradigm (Experiment 1). Additionally, we used a mixed reward latency paradigm, including both monetary and social rewards, to further explore the processing characteristics of IGD towards a mixture of these two rewards (Experiment 2). There were significant differences in the sensitivity of IGD and RGU to monetary and social rewards. Adolescents with IGD had significantly shorter reaction times to the four mixed rewards compared to RGU, while no significant differences were found between groups regarding sensitivity to specific individual rewards. However, the simultaneous presence of two rewards affected the processing speed and preference of adolescents with IGD. The reward processing characteristics observed in adolescents with online gaming disorder show specificity concerning the type and presentation of rewards, providing a theoretical foundation for diagnosing and treating adolescent online gaming addiction.
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Affiliation(s)
- Yuetan Wang
- Key Laboratory of Behavioral and Mental Health of Gansu Province, School of Psychology, Northwest Normal University, Lanzhou, China
| | - Yiyao Li
- Key Laboratory of Behavioral and Mental Health of Gansu Province, School of Psychology, Northwest Normal University, Lanzhou, China
| | - Beichen Liu
- Shaanxi Prov Key Lab Behav & Cognit Neurosci, Shaanxi Normal University, China
| | - Xuan Zhao
- Key Laboratory of Behavioral and Mental Health of Gansu Province, School of Psychology, Northwest Normal University, Lanzhou, China
| | - Xicong Geng
- Key Laboratory of Behavioral and Mental Health of Gansu Province, School of Psychology, Northwest Normal University, Lanzhou, China
| | - Wenjing Zhu
- Key Laboratory of Behavioral and Mental Health of Gansu Province, School of Psychology, Northwest Normal University, Lanzhou, China
| | - Xiaobin Ding
- Key Laboratory of Behavioral and Mental Health of Gansu Province, School of Psychology, Northwest Normal University, Lanzhou, China.
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Sharma R, Weinstein AM. Recent treatment and novel imaging studies evaluating treatment of internet gaming disorder: a narrative review. Front Psychiatry 2024; 15:1408560. [PMID: 38938461 PMCID: PMC11210348 DOI: 10.3389/fpsyt.2024.1408560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 05/03/2024] [Indexed: 06/29/2024] Open
Abstract
Internet Gaming Disorder (IGD) is an emerging public health concern; effective treatments are still under development. This mini-review focuses on summarizing the main scientific evidence from psychological, pharmacological, brain imaging, and emerging treatment approaches for IGD. We searched PubMed and Scopus databases using keywords related to IGD and treatment. Cognitive behavioral therapy (CBT) is the most extensively researched psychological treatment for IGD, supported by several randomized controlled trials (RCTs). Other promising approaches include mindfulness, relapse prevention, abstinence protocols, and family therapy. Pharmacological treatments like bupropion and escitalopram have shown benefits, especially when IGD is comorbid with conditions like major depressive disorder. However, the quality of evidence is moderate for psychological interventions but low to moderate for pharmacological approaches. Emerging treatments such as transcranial direct current stimulation (tDCS), repetitive transcranial magnetic stimulation (rTMS), and electro-acupuncture have demonstrated efficacy in reducing IGD symptoms and modulating brain activity. Brain imaging techniques like functional magnetic resonance imaging (fMRI) have provided insights into the neural mechanisms underlying IGD and treatment effects, although these studies lack randomized controlled designs. While multimodal approaches show promise, larger, well-designed RCTs are needed to establish effective IGD treatments.
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Affiliation(s)
- Rishi Sharma
- Department of Psychology, Ariel University, Ariel, Israel
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11
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Misiuro T, Misiuro A, Cudo A, Kowalski M. Towards comprehending internet gaming disorder: evaluating the psychometric properties of the Polish adaptation of the Craving for Internet Gaming Scale. POSTEPY PSYCHIATRII NEUROLOGII 2024; 33:59-66. [PMID: 39119543 PMCID: PMC11304233 DOI: 10.5114/ppn.2024.141053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 03/29/2024] [Indexed: 08/10/2024]
Abstract
Purpose This study aims to adapt and verify the psychometric properties of the Craving for Internet Gaming Scale (CIGS) in a Polish sample. Craving, although observed as significantly associated with Internet Gaming Disorder, is not currently included in its diagnostic criteria. This research addresses the need for scales to measure craving in this particular context. Methods The research involved a sample of 575 participants. Psychometric analysis, including confirmatory factor analysis, was conducted to assess the CIGS' reliability and validity. Additional scales, such as the Game Transfer Phenomena Scale, Motives for Online Gaming Questionnaire, and the Depression Anxiety Stress Scales, were used for concurrent validity analysis. Results The study results demonstrate the excellent psychometric properties of the Polish adaptation of the CIGS. It showed high reliability in terms of internal consistency and provided evidence for construct validity. Furthermore, it exhibited a positive correlation with various scales associated with problematic video game use and gaming addiction, while also showing a moderate negative correlation with self-control. Conclusions Our findings suggest that the CIGS retains its psychometric properties in different cultures, making it a valuable instrument for comprehending craving within the context of Internet gaming disorder. Future research should focus on the adaptation of the CIGS to various cultural settings and the exploration of potential intergroup differences.
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Affiliation(s)
- Tomasz Misiuro
- Institute of Psychology, University of Zielona Góra, Poland
| | | | - Andrzej Cudo
- Institute of Psychology, The John Paul II Catholic University of Lublin, Poland
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Long K, Zhang X, Wang N, Lei H. Heart Rate Variability during Online Video Game Playing in Habitual Gamers: Effects of Internet Addiction Scale, Ranking Score and Gaming Performance. Brain Sci 2023; 14:29. [PMID: 38248244 PMCID: PMC10813724 DOI: 10.3390/brainsci14010029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 12/14/2023] [Accepted: 12/23/2023] [Indexed: 01/23/2024] Open
Abstract
Previous studies have demonstrated that individuals with internet gaming disorder (IGD) display abnormal autonomic activities at rest and during gameplay. Here, we examined whether and how in-game autonomic activity is modulated by human characteristics and behavioral performance of the player. We measured heart rate variability (HRV) in 42 male university student habitual gamers (HGs) when they played a round of League of Legends game online. Short-term HRV indices measured in early, middle and late phases of the game were compared between the players at high risk of developing IGD and those at low risk, as assessed by the revised Chen Internet addiction scale (CIAS-R). Multiple linear regression (MLR) was used to identify significant predictors of HRV measured over the whole gameplay period (WG), among CIAS-R, ranking score, hours of weekly playing and selected in-game performance parameters. The high-risk players showed a significantly higher low-frequency power/high-frequency power ratio (LF/HF) relative to the low-risk players, regardless of game phase. MLR analysis revealed that LF/HF measured in WG was predicted by, and only by, CIAS-R. The HRV indicators of sympathetic activity were found to be predicted only by the number of slain in WG (NSlain), and the indicators of parasympathetic activity were predicted by both CIAS-R and NSlain. Collectively, the results demonstrated that risk of developing IGD is associated with dysregulated autonomic balance during gameplay, and in-game autonomic activities are modulated by complex interactions among personal attributes and in-game behavioral performance of the player, as well as situational factors embedded in game mechanics.
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Affiliation(s)
- Kehong Long
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China; (K.L.); (X.Z.); (N.W.)
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Xuzhe Zhang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China; (K.L.); (X.Z.); (N.W.)
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Ningxin Wang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China; (K.L.); (X.Z.); (N.W.)
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Hao Lei
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China; (K.L.); (X.Z.); (N.W.)
- University of Chinese Academy of Sciences, Beijing 100190, China
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
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Mestre-Bach G, Potenza MN. Neural mechanisms linked to treatment outcomes and recovery in substance-related and addictive disorders. DIALOGUES IN CLINICAL NEUROSCIENCE 2023; 25:75-91. [PMID: 37594217 PMCID: PMC10444012 DOI: 10.1080/19585969.2023.2242359] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 07/24/2023] [Accepted: 07/24/2023] [Indexed: 08/19/2023]
Abstract
The present review focuses on potential neural mechanisms underlying recovery from psychiatric conditions characterised by impaired impulse control, specifically substance use disorders, gambling disorder, and internet gaming disorder. Existing treatments (both pharmacological and psychological) for these addictions may impact brain processes, and these have been evaluated in neuroimaging studies. Medication challenge and short-term intervention administration will be considered with respect to treatment utility. Main models of addiction (e.g., dual process, reward deficiency syndrome) will be considered in the context of extant data. Additionally, advanced analytic approaches (e.g., machine-learning approaches) will be considered with respect to guiding treatment development efforts. Thus, this narrative review aims to provide directions for treatment development for addictive disorders.
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Affiliation(s)
- Gemma Mestre-Bach
- Centro de Investigación, Transferencia e Innovación (CITEI), Universidad Internacional de La Rioja, La Rioja, Spain
| | - Marc N. Potenza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
- Yale Child Study Center, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
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14
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Mestre-Bach G, Potenza MN. Neuroimaging correlates of internet gaming disorder: Can we achieve the promise of translating understandings of brain functioning into clinical advances? CANADIAN JOURNAL OF ADDICTION 2023; 14:7-17. [PMID: 38371925 PMCID: PMC10871672 DOI: 10.1097/cxa.0000000000000178] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Objectives Here we aimed to consider the neural factors associated with internet gaming disorder (IGD), as well as the associations between these factors and existing treatments for the disorder. Methods A narrative review was conducted. Results Pharmacological as well as psychological treatments for IGD may be associated with specific changes in multiple brain areas and circuits. In particular, fronto-striatal and subcortical regions and pathways appear relevant to IGD and its treatment. Conclusions Neuroimaging holds promise for identifying specific mechanisms underlying IGD interventions. However, to date, firm conclusions are difficult to draw and more research examining neural mechanisms of empirically supported treatments for IGD is needed.
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Affiliation(s)
| | - Marc N. Potenza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
- Yale Child Study Center, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
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15
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Diers M, Müller SM, Mallon L, Schmid AM, Thomas TA, Klein L, Krikova K, Stark R, Wegmann E, Steins-Loeber S, Brand M, Antons S. Cue-reactivity to distal cues in individuals at risk for gaming disorder. Compr Psychiatry 2023; 125:152399. [PMID: 37437451 DOI: 10.1016/j.comppsych.2023.152399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/22/2023] [Accepted: 07/03/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND Gaming disorder (GD) is a disorder due to addictive behaviors (ICD-11). Cue-reactivity and craving are relevant mechanisms in the development and maintenance of addictive behaviors. When confronted with cues showing in-game content (proximal cues) individuals with higher symptom severity show increased cue-reactivity. Based on conditioning and addiction theories on incentive sensitization, cue-reactivity responses may generalize to more distal cues, e.g. when individuals at risk of developing a GD are confronted with a starting page of an online game. In cue-reactivity paradigms so far, only proximal gaming cues have been used. METHODS We investigated the effect of distal gaming cues compared to gaming-unrelated control cues on cue-reactivity and craving in 88 individuals with non-problematic use of online games (nPGU) and 69 individuals at risk for GD (rGD). The distal cues showed the use of an electronic device (e.g., desktop PC or smartphone) whose screen showed starting pages of either games (target cues), shopping- or pornography sites (control cues) from a first-person perspective. FINDINGS We found significantly higher urge and arousal ratings as well as longer viewing times for gaming-related compared to gaming-unrelated control cues in rGD compared to nPGU. Valence ratings did not differ between groups. INTERPRETATION The results demonstrate that already distal gaming-specific cues lead to cue-reactivity and craving in rGD. This finding indicates that based on conditioning processes, cue-reactivity and craving develop during the course of GD and generalize to cues that are only moderately related to the specific gaming activity.
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Affiliation(s)
- Martin Diers
- Department of Psychosomatic Medicine and Psychotherapy, LWL University Hospital, Ruhr University Bochum, Bochum, Germany.
| | - Silke M Müller
- General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, Duisburg, Germany; Erwin L. Hahn Institute for Magnetic Resonance Imaging, Essen, Germany
| | - Lukas Mallon
- Department of Psychosomatic Medicine and Psychotherapy, LWL University Hospital, Ruhr University Bochum, Bochum, Germany
| | - Anna M Schmid
- Department of Clinical Psychology and Psychotherapy, Otto-Friedrich University of Bamberg, Bamberg, Germany
| | - Tobias A Thomas
- Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Lena Klein
- General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, Duisburg, Germany
| | - Kseniya Krikova
- Department of Psychotherapy and Systems Neuroscience, Justus Liebig University, Giessen, Germany; Clinical Psychology and Psychotherapy, University Siegen, Siegen, Germany; Bender Institute for Neuroimaging, Justus Liebig University, Giessen, Germany
| | - Rudolf Stark
- Department of Psychotherapy and Systems Neuroscience, Justus Liebig University, Giessen, Germany; Bender Institute for Neuroimaging, Justus Liebig University, Giessen, Germany; Center for Mind, Brain and Behavior, Phillips University Marburg and Justus Liebig University Giessen, Germany
| | - Elisa Wegmann
- General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, Duisburg, Germany
| | - Sabine Steins-Loeber
- Department of Clinical Psychology and Psychotherapy, Otto-Friedrich University of Bamberg, Bamberg, Germany
| | - Matthias Brand
- General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, Duisburg, Germany; Erwin L. Hahn Institute for Magnetic Resonance Imaging, Essen, Germany
| | - Stephanie Antons
- General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, Duisburg, Germany; Erwin L. Hahn Institute for Magnetic Resonance Imaging, Essen, Germany
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Hofstedt A, Mide M, Arvidson E, Ljung S, Mattiasson J, Lindskog A, Söderpalm-Gordh A. Pilot data findings from the Gothenburg treatment for gaming disorder: a cognitive behavioral treatment manual. Front Psychiatry 2023; 14:1162492. [PMID: 37346899 PMCID: PMC10280023 DOI: 10.3389/fpsyt.2023.1162492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 05/08/2023] [Indexed: 06/23/2023] Open
Abstract
Background Gaming disorder (GD) is a new diagnosis included in the latest edition of the International Classification of Disease -11. Recently conducted international studies suggest a prevalence rate close to 2% for GD, highlighting the need for effective treatments for this patient population. Internationally there are few studies investigating effective treatments specifically designed for this condition. In this pilot study, we wanted to test a newly developed method, the Gothenburg Treatment for Gaming Disorder (GOT-TO-GO) manual; a 15-week cognitive behavioral therapy treatment for GD. Method This study utilized a single group design with pretest, post-test and a three- and six-month follow-up, with measures of severity of GD and mood. The participants (n = 28) were treatment-seeking adults with GD, aged 17 to 49 years. Results The results show a statistically significant decrease in symptoms of GD after treatment. Hours of gaming per week also decreased concomitantly with a 100% increase in non-gaming leisure hours. The decrease in symptoms of GD was maintained at the 3-months follow-up after treatment. Correspondingly we saw a decrease in both depression and anxiety that also was upheld 3 months after treatment. Conclusion As GD is a new diagnostic concept more research is needed, also taking psychiatric comorbidity into consideration, to arrive at evidence-based conclusions regarding effective treatments. Considering the promising results in this small pilot study with large behavioral changes and reduced symptoms of GD, upheld at least 3 months after treatment, a larger randomized controlled study is warranted.Clinical Trial Registration: https://www.clinicaltrials.gov/ct2/show/study/NCT05328596?term=NCT05328596&draw=2&rank=1, identifier NCT05328596.
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Affiliation(s)
- Annika Hofstedt
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Mikael Mide
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Elin Arvidson
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Sofia Ljung
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Jessica Mattiasson
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Amanda Lindskog
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Anna Söderpalm-Gordh
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden
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Park S, Ha J, Ahn W, Kim L. Measurement of craving among gamers with internet gaming disorder using repeated presentations of game videos: a resting-state electroencephalography study. BMC Public Health 2023; 23:816. [PMID: 37143023 PMCID: PMC10158347 DOI: 10.1186/s12889-023-15750-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 04/25/2023] [Indexed: 05/06/2023] Open
Abstract
BACKGROUND Internet gaming disorder (IGD) is receiving increasing attention owing to its effects on daily living and psychological function. METHODS In this study, electroencephalography was used to compare neural activity triggered by repeated presentation of a stimulus in healthy controls (HCs) and those with IGD. A total of 42 adult men were categorized into two groups (IGD, n = 21) based on Y-IAT-K scores. Participants were required to watch repeated presentations of video games while wearing a head-mounted display, and the delta (D), theta (T), alpha (A), beta (B), and gamma (G) activities in the prefrontal (PF), central (C), and parieto-occipital (PO) regions were analyzed. RESULTS The IGD group exhibited higher absolute powers of DC, DPO, TC, TPO, BC, and BPO than HCs. Among the IGD classification models, a neural network achieves the highest average accuracy of 93% (5-fold cross validation) and 84% (test). CONCLUSIONS These findings may significantly contribute to a more comprehensive understanding of the neurological features associated with IGD and provide potential neurological markers that can be used to distinguish between individuals with IGD and HCs.
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Affiliation(s)
- Sangin Park
- Industry-Academy Cooperation Team, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea
| | - Jihyeon Ha
- Center for Bionics, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil Seongbuk-gu, Seoul, 02792, South Korea
| | - Wonbin Ahn
- Applied AI Research Lab, LG AI Research, 128, Yeoui-daero, Yeongdeungpo-gu, Seoul, 07796, South Korea
| | - Laehyun Kim
- Center for Bionics, Korea Institute of Science and Technology, 5, Hwarang-ro 14-gil Seongbuk-gu, Seoul, 02792, South Korea.
- Department of HY-KIST Bio-convergence, Hanyang University, 222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, South Korea.
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Gavriel-Fried B, Serry M, Katz D, Hidvégi D, Demetrovics Z, Király O. The concept of recovery in gaming disorder: A scoping review. J Behav Addict 2023; 12:26-52. [PMID: 36917469 PMCID: PMC10260226 DOI: 10.1556/2006.2023.00002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 12/05/2022] [Accepted: 02/03/2023] [Indexed: 03/16/2023] Open
Abstract
Background Recovery from mental health and behavioral disorders is classically defined as a reduction in symptoms. More recent definitions see it as a process in which individuals improve their health, wellness and other life domains. The inclusion of gaming disorder (GD) in the 11th International Classification of Diseases in 2019 prompted growing interest in GD. However, relatively little is known about recovery from GD, and there is scant literature describing or assessing its course. Objectives This scoping review was designed to explore the state of the art on recovery from GD (e.g., terminology and measures used to assess recovery, main topics in studies about recovery from GD). Methods PubMed, Web of Science, and Scopus databases were searched and critically reviewed according to PRISMA guidelines. We included empirical studies in English covering individuals across all age groups who met the diagnostic criteria of GD/internet gaming disorder (IGD) according to valid scales that relate to recovery or any change, and were published before February 2022. Results A total of 47 out of 966 studies met the inclusion criteria. Recovery as a concept is not explicitly mentioned in GD studies. Rather, changes in subjects' disorders are described in terms of decreases/reductions in symptom severity, or improvement/increases. These changes are primarily measured by scales that evaluate symptom reduction and/or improvement in GD and other psychopathologies. Conclusions The concept of recovery is included in the GD field but is not clearly mentioned or used. Therapists and researchers should aim to promote and integrate the notion of recovery in GD.
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Affiliation(s)
| | - Meytal Serry
- The Bob Shapell School of Social Work, Tel Aviv University, Israel
| | - Dana Katz
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Dorottya Hidvégi
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Zsolt Demetrovics
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
- Centre of Excellence in Responsible Gaming, University of Gibraltar, Gibraltar, Gibraltar
| | - Orsolya Király
- Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
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Chen Y, Lu J, Wang L, Gao X. Effective interventions for gaming disorder: A systematic review of randomized control trials. Front Psychiatry 2023; 14:1098922. [PMID: 36815197 PMCID: PMC9940764 DOI: 10.3389/fpsyt.2023.1098922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 01/16/2023] [Indexed: 02/08/2023] Open
Abstract
Objective To identify effective intervention methods for gaming disorder (GD) through a rigorous assessment of existing literature. Methods We conducted a search of six databases (PubMed, Embase, PsycINFO, CNKI, WanFang, and VIP) to identify randomized controlled trials (RCTs) that tested GD interventions, published from database inception to December 31, 2021. Standardized mean differences with 95% confidence intervals were calculated using a random effects model. Risk of bias was assessed with the Risk of Bias 2 (RoB 2) tool. Results Seven studies met the inclusion criteria. Five interventions were tested in these studies: group counseling, craving behavioral intervention (CBI), transcranial direct current stimulation (tDCS), the acceptance and cognitive restructuring intervention program (ACRIP), and short-term cognitive behavior therapy (CBT). Four of the five interventions (the tDCS was excluded) were found to have a significant effect on GD. The results of the quality assessment showed that the included studies had a medium to high risk in the randomization process and a medium to high risk of overall bias. Conclusion Rigorous screening identified that four interventions are effective for GD: group counseling, CBI, ACRIP, and short-term CBT. Additionally, a comprehensive review of the literature revealed that improvements could be made in the conceptualization of GD, experimental design, sample representativeness, and reporting quality. It is recommended that future studies have more rigorous research designs and be based on established standards to provide more credible evidence to inform the development of GD interventions.
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Affiliation(s)
- Yuzhou Chen
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
| | - Jiangmiao Lu
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
| | - Ling Wang
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
| | - Xuemei Gao
- Faculty of Psychology, Southwest University, Chongqing, China
- Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing, China
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Mestre-Bach G, Potenza MN. Potential Biological Markers and Treatment Implications for Binge Eating Disorder and Behavioral Addictions. Nutrients 2023; 15:827. [PMID: 36839185 PMCID: PMC9962023 DOI: 10.3390/nu15040827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 01/28/2023] [Accepted: 02/04/2023] [Indexed: 02/08/2023] Open
Abstract
The reward system is highly relevant to behavioral addictions such as gambling disorder (GD), internet gaming disorder (IGD), and food addiction/binge eating disorder (FA/BED). Among other brain regions, the ventral striatum (VS) has been implicated in reward processing. The main objective of the present state-of-the-art review was to explore in depth the specific role of the VS in GD, IGD and FA/BED, understanding it as a possible biomarker of these conditions. Studies analyzing brain changes following interventions for these disorders, and especially those that had explored possible treatment-related changes in VS, are discussed. More evidence is needed on how existing treatments (both pharmacological and psychobehavioral) for behavioral addictions affect the activation of the VS and related circuitry.
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Affiliation(s)
- Gemma Mestre-Bach
- Facultad de Ciencias de la Salud, Universidad Internacional de La Rioja, 26006 Logroño, Spain
| | - Marc N. Potenza
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT 06510, USA
- Connecticut Mental Health Center, New Haven, CT 06519, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT 06109, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06510, USA
- Yale Child Study Center, School of Medicine, Yale University, New Haven, CT 06510, USA
- Department of Neuroscience, School of Medicine, Yale University, New Haven, CT 06510, USA
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21
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Turner D, Briken P, Grubbs J, Malandain L, Mestre-Bach G, Potenza MN, Thibaut F. The World Federation of Societies of Biological Psychiatry guidelines on the assessment and pharmacological treatment of compulsive sexual behaviour disorder. DIALOGUES IN CLINICAL NEUROSCIENCE 2022; 24:10-69. [PMID: 37522807 PMCID: PMC10408697 DOI: 10.1080/19585969.2022.2134739] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/18/2022] [Accepted: 10/03/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVES The current guidelines aim to evaluate the role of pharmacological agents in the treatment of patients with compulsive sexual behaviour disorder (CSBD). They are intended for use in clinical practice by clinicians who treat patients with CSBD. METHODS An extensive literature search was conducted using the English-language-literature indexed on PubMed and Google Scholar without time limit, supplemented by other sources, including published reviews. RESULTS Each treatment recommendation was evaluated with respect to the strength of evidence for its efficacy, safety, tolerability, and feasibility. Psychoeducation and psychotherapy are first-choice treatments and should always be conducted. The type of medication recommended depended mainly on the intensity of CSBD and comorbid sexual and psychiatric disorders. There are few randomised controlled trials. Although no medications carry formal indications for CSBD, selective-serotonin-reuptake-inhibitors and naltrexone currently constitute the most relevant pharmacological treatments for the treatment of CSBD. In cases of CSBD with comorbid paraphilic disorders, hormonal agents may be indicated, and one should refer to previously published guidelines on the treatment of adults with paraphilic disorders. Specific recommendations are also proposed in case of chemsex behaviour associated with CSBD. CONCLUSIONS An algorithm is proposed with different levels of treatment for different categories of patients with CSBD.
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Affiliation(s)
- Daniel Turner
- Department of Psychiatry and Psychotherapy, University Medical Center Mainz, Mainz, Germany
| | - Peer Briken
- Institute for Sex Research, Sexual Medicine, and Forensic Psychiatry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Joshua Grubbs
- Department of Psychology, Bowling Green State University, Bowling Green, OH, USA
| | - Leo Malandain
- Department of Psychiatry and Addictive Disorders, University Hospital Cochin (site Tarnier) AP-HP, Paris, France
| | - Gemma Mestre-Bach
- Facultad de Ciencias de la Salud, Universidad Internacional de La Rioja, La Rioja, Spain
| | - Marc N. Potenza
- Departments of Psychiatry and Neuroscience and Child Study Center, Yale School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Florence Thibaut
- Department of Psychiatry and Addictive Disorders, University Hospital Cochin (site Tarnier) AP-HP, Paris, France
- INSERM U1266, Institute of Psychiatry and Neurosciences, University of Paris Cité, Paris, France
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22
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Kim J, Lee S, Lee D, Shim S, Balva D, Choi KH, Chey J, Shin SH, Ahn WY. Psychological treatments for excessive gaming: a systematic review and meta-analysis. Sci Rep 2022; 12:20485. [PMID: 36443408 PMCID: PMC9705304 DOI: 10.1038/s41598-022-24523-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 11/16/2022] [Indexed: 11/29/2022] Open
Abstract
Despite widespread public interest in problematic gaming interventions, questions regarding the empirical status of treatment efficacy persist. We conducted pairwise and network meta-analyses based on 17 psychological intervention studies on excessive gaming (n = 745 participants). The pairwise meta-analysis showed that psychological interventions reduce excessive gaming more than the inactive control (standardized mean difference [SMD] = 1.70, 95% confidence interval [CI] 1.27 to 2.12) and active control (SMD = 0.88, 95% CI 0.21 to 1.56). The network meta-analysis showed that a combined treatment of Cognitive Behavioral Therapy (CBT) and Mindfulness was the most effective intervention in reducing excessive gaming, followed by a combined CBT and Family intervention, Mindfulness, and then CBT as a standalone treatment. Due to the limited number of included studies and resulting identified methodological concerns, the current results should be interpreted as preliminary to help support future research focused on excessive gaming interventions. Recommendations for improving the methodological rigor are also discussed.
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Affiliation(s)
- Jueun Kim
- Department of Psychology, Chungnam National University, W12-1, Daejeon, 34134, South Korea.
| | - Sunmin Lee
- Department of Psychology, Chungnam National University, W12-1, Daejeon, 34134, South Korea
| | - Dojin Lee
- Department of Psychology, Chungnam National University, W12-1, Daejeon, 34134, South Korea
| | - Sungryul Shim
- Department of Health and Medical Informatics, College of Health Sciences, Kyungnam University, Changwon, South Korea
| | - Daniel Balva
- Department of Counseling Psychology, University of Georgia, Athens, GA, USA
| | - Kee-Hong Choi
- School of Psychology, Korea University, Seoul, South Korea
| | - Jeanyung Chey
- Department of Psychology, Seoul National University, Seoul, South Korea
| | - Suk-Ho Shin
- Dr. Shin's Neuropsychiatric Clinic, Seoul, South Korea
| | - Woo-Young Ahn
- Department of Psychology, Seoul National University, Seoul, South Korea
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23
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Zhou Y, Zhou Y, Zhou J, Shen M, Zhang M. Attentional biases and daily game craving dynamics: An ecological momentary assessment study. J Behav Addict 2022; 11:1044-1054. [PMID: 36427198 PMCID: PMC9881657 DOI: 10.1556/2006.2022.00085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 10/31/2022] [Accepted: 11/05/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND AND AIMS Theories posit that the combination of external (e.g. cue exposure) and internal (e.g. attention biases) factors contributes to the development of game craving. Nevertheless, whether different components of attentional biases (namely, engagement bias and disengagement bias) play separate roles on game craving has not been fully elucidated. We aimed to examine the associations between two facets of attentional biases and game craving dynamics under a daily life setting. METHODS Participants (110 regular internet game players) accomplished the modified attentional assessment task in the laboratory, after which they entered a 10-day ecological momentary assessment (EMA) to collect data on their momentary game craving and occurrence of game-related events at five different time points per day. RESULTS We found that occurrence of game-related events was significantly associated with increased game craving. Moreover, attentional disengagement bias, instead of engagement bias, bore on the occasional level variations of game craving as moderating variables. Specifically, attentional disengagement bias, not engagement bias, was associated with a greater increase in game craving immediately after encountering a game-related event; however, neither attentional engagement bias nor disengagement bias was associated with the craving maintenance after a relatively long period. DISCUSSION AND CONCLUSIONS The present study highlights the specific attentional processes involved in game craving dynamics, which could be crucial for designing interventions for attentional bias modification (ABM) in Internet Gaming Disorder (IGD) populations.
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Affiliation(s)
- Yucheng Zhou
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, 310028, P. R. China
| | - Yanling Zhou
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, 310028, P. R. China
| | - Jifan Zhou
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, 310028, P. R. China,Corresponding author. E-mail:
| | - Mowei Shen
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, 310028, P. R. China,Corresponding author. E-mail:
| | - Meng Zhang
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, 310028, P. R. China,Corresponding author. E-mail:
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24
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Király O, Potenza MN, Demetrovics Z. Gaming disorder: current research directions. Curr Opin Behav Sci 2022. [DOI: 10.1016/j.cobeha.2022.101204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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25
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Zheng Y, He J, Fan L, Qiu Y. Reduction of symptom after a combined behavioral intervention for reward sensitivity and rash impulsiveness in internet gaming disorder: A comparative study. J Psychiatr Res 2022; 153:159-166. [PMID: 35816975 DOI: 10.1016/j.jpsychires.2022.06.056] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 04/15/2022] [Accepted: 06/24/2022] [Indexed: 11/25/2022]
Abstract
Impulsivity is both a core symptom and a key psychological mechanism in Internet Gaming Disorder (IGD), and therefore interventions for impulsivity in IGD have both theoretical and practical value. However, previous related interventions only tended to focus on a single factor of impulsivity and achieved inconsistent results. In this study, based on the theory of two-factor model of impulsivity (reward sensitivity and rash impulsiveness), four groups of IGD subjects were recruited to investigate whether there were different effects of single rash impulsiveness or reward sensitivity intervention versus a combined intervention. By comparing the different factors of impulsivity of the four groups before and after a 15-day intervention, the results showed that: (1) compared with the control group, subjects in the Go/No-go training group only had a significantly lower level of rash impulsiveness, subjects in the Stimulus-Response Compatibility (SRC) training group only had a significantly lower level of reward sensitivity, and subjects in the combined training group had significantly lower levels of both impulsivity; (2) among the three intervention groups, only the subjects in the combined training group had significantly lower IGD scores in the follow-up measure. This study indicated that the behavioral training of Go/No-go and SRC were effective in improving rash impulsiveness and reward sensitivity in IGD, respectively, but the intervention effect of the combined training was better than that of the single training.
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Affiliation(s)
- Yang Zheng
- Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, School of Psychology, Central China Normal University, Wuhan, China
| | - Jinbo He
- Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, School of Psychology, Central China Normal University, Wuhan, China.
| | - Liyan Fan
- Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, School of Psychology, Central China Normal University, Wuhan, China
| | - Yuting Qiu
- Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, School of Psychology, Central China Normal University, Wuhan, China
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26
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Zhao Y, Paulus M, Bagot KS, Constable RT, Yaggi HK, Redeker NS, Potenza MN. Brain structural covariation linked to screen media activity and externalizing behaviors in children. J Behav Addict 2022; 11:417-426. [PMID: 35895476 PMCID: PMC9295222 DOI: 10.1556/2006.2022.00044] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 05/02/2022] [Accepted: 05/20/2022] [Indexed: 11/22/2022] Open
Abstract
Background and Aims Screen media activity (SMA) may impact neurodevelopment in youth. Cross-sectionally, SMA has been linked to brain structural patterns including cortical thinning in children. However, it remains unclear whether specific brain structural co-variation patterns are related to SMA and other clinically relevant measures such as psychopathology, cognition and sleep in children. Methods Adolescent Brain Cognitive Development (ABCD) participants with useable baseline structural imaging (N = 10,691; 5,107 girls) were analyzed. We first used the Joint and Individual Variation Explained (JIVE) approach to identify cortical and subcortical covariation pattern(s) among a set of 221 brain features (i.e., surface area, thickness, or cortical and subcortical gray matter (GM) volumes). Then, the identified structural covariation pattern was used as a predictor in linear mixed-effect models to investigate its associations with SMA, psychopathology, and cognitive and sleep measures. Results A thalamus-prefrontal cortex (PFC)-brainstem structural co-variation pattern (circuit) was identified. The pattern suggests brainstem and bilateral thalamus proper GM volumes covary more strongly with GM volume and/or surface area in bilateral superior frontal gyral, rostral middle frontal, inferior parietal, and inferior temporal regions. This covariation pattern highly resembled one previously linked to alcohol use initiation prior to adulthood and was consistent in girls and boys. Subsequent regression analyses showed that this co-variation pattern associated with SMA (β = 0.107, P = 0.002) and externalizing psychopathology (β = 0.117, P = 0.002), respectively. Discussion and Conclusions Findings linking SMA-related structural covariation to externalizing psychopathology in youth resonate with prior studies of alcohol-use initiation and suggest a potential neurodevelopmental mechanism underlying addiction vulnerability.
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Affiliation(s)
- Yihong Zhao
- Columbia University School of Nursing, New York, NY, USA
- Center of Alcohol and Substance Use Studies, Rutgers University, Piscataway, NJ, USA
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Martin Paulus
- Laureate Institute for Brain Research, Tulsa, OK, USA
- University of California San Diego, Department of Psychiatry, USA
| | - Kara S. Bagot
- Department of Psychiatry, Addiction Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - R. Todd Constable
- Biomedical Engineering, Radiology and Biomedical Imaging, Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA
| | - H. Klar Yaggi
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
- VA Clinical Epidemiology Research Center, VA Connecticut HCS, West Haven, CT, USA
| | | | - Marc N. Potenza
- Department of Psychiatry, Child Study Center, Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06510, USA
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27
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Yu Y, Mo PK, Zhang J, Li J, Lau JT. Maladaptive cognitions, loneliness, and social anxiety as potential moderators of the association between Internet gaming time and Internet gaming disorder among adolescent Internet gamers in China. Addict Behav 2022; 129:107239. [PMID: 35092885 DOI: 10.1016/j.addbeh.2022.107239] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 01/07/2022] [Accepted: 01/10/2022] [Indexed: 12/14/2022]
Abstract
The significance of Internet gaming time's dosage effect on Internet gaming disorder (IGD) may depend on gamers' characteristics. Majority of the gamers with extensive gaming time do not develop IGD. This study investigated moderation effects of cognitive/psychosocial factors on the association between Internet gaming time and probable IGD among adolescent Internet gamers in China. The cross-sectional, self-administered, and anonymous survey was conducted from October to December of 2018 among seven conveniently selected secondary school students in Chengdu and Guangzhou, China. Probable IGD was measured by using the DSM-5 checklist. The cognitive/psychosocial moderators were assessed by using validated instruments. Of the 2,503 students who had played Internet games (past 12 months), the prevalence of probable IGD was 17.7%. Internet gaming time [adjusted odds ratio (ORa) = 1.06], the three maladaptive cognitions specific to Internet gaming (perceived overvaluation of rewards, perceived urges, and perceived unwillingness to stop playing) (ORa = 1.17 to 1.44), and the two types of psychosocial factors (loneliness and social anxiety) (ORa = 1.09 to 1.13) were independent risk factors of probable IGD. Moderation analyses showed that overall maladaptive cognitions, perceived urges, and loneliness (but not the other two types of cognitions and social anxiety) were significant moderators of the association between Internet gaming time and probable IGD. The dose-effect relationship of Internet gaming time on probable IGD was significantly and slightly stronger among those with higher levels of perceived urges and loneliness. Interventions to reduce the levels of such moderators may reduce probable IGD directly and buffer the dosage effect among adolescents.
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28
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Gorowska M, Tokarska K, Zhou X, Gola MK, Li Y. Novel approaches for treating Internet Gaming Disorder: A review of technology-based interventions. Compr Psychiatry 2022; 115:152312. [PMID: 35405548 DOI: 10.1016/j.comppsych.2022.152312] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 03/21/2022] [Accepted: 03/27/2022] [Indexed: 11/28/2022] Open
Abstract
Internet Gaming Disorder (IGD) has become a significant issue in mental healthcare over the past decades as the number of people engaging in excessive and unhealthy gaming increases with each year. Despite its inclusion in the 5th Edition of Diagnostic Statistical Manual and the development of a number of treatment methods that have been designed and tested for IGD, treatment remains a challenge. This review attempts to give an overview of the current state of IGD and its treatment with a specific focus on the potential of technology-based solutions, such as web-based programs, mobile applications, and virtual reality. The review also highlights the need for additional work in the area of treatment development for IGD and the preliminary evidence for the usefulness and importance of technology-based treatment methods which offer unique advantages, such as accessibility, scalability, and cost-effectiveness, over other existing treatment options.
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Affiliation(s)
- Monika Gorowska
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| | - Klaudia Tokarska
- Aarhus University, Aarhus, Denmark; Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
| | - XinYu Zhou
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
| | - Mateusz Kazimierz Gola
- Swartz Center for Computational Neuroscience, Institute for Neural Computations, University of California San Diego, San Diego, USA; Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland
| | - Yonghui Li
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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29
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Wang ZL, Potenza MN, Song KR, Fang XY, Liu L, Ma SS, Xia CC, Lan J, Yao YW, Zhang JT. Neural classification of internet gaming disorder and prediction of treatment response using a cue-reactivity fMRI task in young men. J Psychiatr Res 2022; 145:309-316. [PMID: 33229034 DOI: 10.1016/j.jpsychires.2020.11.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 11/01/2020] [Accepted: 11/05/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND Neural mechanisms underlying internet gaming disorder (IGD) are important for diagnostic considerations and treatment development. However, neurobiological underpinnings of IGD remain relatively poorly understood. METHODS We employed multi-voxel pattern analysis (MVPA), a machine-learning approach, to examine the potential of neural features to statistically predict IGD status and treatment outcome (percentage change in weekly gaming time) for IGD. Cue-reactivity fMRI-task data were collected from 40 male IGD subjects and 19 male healthy control (HC) subjects. 23 IGD subjects received 6 weeks of craving behavioral intervention (CBI) treatment. MVPA was applied to classify IGD subjects from HCs and statistically predict clinical outcomes. RESULTS MVPA displayed a high (92.37%) accuracy (sensitivity of 90.00% and specificity of 94.74%) in the classification of IGD and HC subjects. The most discriminative brain regions that contribute to classification were the bilateral middle frontal gyrus, precuneus, and posterior lobe of the right cerebellum. MVPA statistically predicted clinical outcomes in the craving behavioral intervention (CBI) group (r = 0.48, p = 0.0032). The most strongly implicated brain regions in the prediction model were the right middle frontal gyrus, superior frontal gyrus, supramarginal gyrus, anterior/posterior lobes of the cerebellum and left postcentral gyrus. CONCLUSIONS The findings about cue-reactivity neural correlates could help identify IGD subjects and predict CBI-related treatment outcomes provide mechanistic insight into IGD and its treatment and may help promote treatment development efforts.
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Affiliation(s)
- Zi-Liang Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Marc N Potenza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Child Study Center, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, Connecticut Mental Health Center, New Haven, Connecticut Council on Problem Gambling, Wethersfield, CT, USA
| | - Kun-Ru Song
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Xiao-Yi Fang
- Institute of Developmental Psychology, Beijing Normal University, Beijing, 100875, China.
| | - Lu Liu
- Institute of Developmental Psychology, Beijing Normal University, Beijing, 100875, China; German Institute of Human Nutrition Potsdam-Rehbruecke, 14558, Nuthetal, Germany
| | - Shan-Shan Ma
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; Institute of Developmental Psychology, Beijing Normal University, Beijing, 100875, China
| | - Cui-Cui Xia
- Psychological Counseling Center, Beijing Normal University, Beijing, 100875, China
| | - Jing Lan
- Institute of Developmental Psychology, Beijing Normal University, Beijing, 100875, China; The Family Institute at Northwestern University, Northwestern University, 60201, IL, USA
| | - Yuan-Wei Yao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; Department of Education and Psychology, Freie Universität Berlin, Berlin, 14195, Germany
| | - Jin-Tao Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Beijing Key Lab of Applied Experimental Psychology, School of Psychology, Beijing Normal University, Beijing, China.
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30
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Niu X, Gao X, Zhang M, Yang Z, Yu M, Wang W, Wei Y, Cheng J, Han S, Zhang Y. Meta-analysis of structural and functional brain alterations in internet gaming disorder. Front Psychiatry 2022; 13:1029344. [PMID: 37033880 PMCID: PMC10074425 DOI: 10.3389/fpsyt.2022.1029344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 10/03/2022] [Indexed: 04/11/2023] Open
Abstract
Background Many neuroimaging studies have reported abnormalities in brain structure and function in internet gaming disorder (IGD). However, the findings were divergent. We aimed to provide evidence-based evidence of structural and functional changes in IGD by conducting a meta-analysis integrating these studies quantitatively. Method A systematic search was conducted in PubMed, ScienceDirect, Web of Science, and Scopus from January 1, 2010 to October 31, 2021, to identify eligible voxel-based morphometry (VBM) and functional magnetic resonance imaging (fMRI) studies. Brain alternations between IGD subjects and healthy controls (HCs) were compared using the anisotropic seed-based d mapping (AES-SDM) meta-analytic method. Meta-regression analysis was used to investigate the relationship between gray matter volume (GMV) alterations and addiction-related clinical features. Results The meta-analysis contained 15 VBM studies (422 IGD patients and 354 HCs) and 30 task-state fMRI studies (617 IGD patients and 550 HCs). Compared with HCs, IGD subjects showed: (1) reduced GMV in the bilateral anterior/median cingulate cortex, superior/inferior frontal gyrus and supplementary motor area; (2) hyperactivation in the bilateral inferior frontal gyrus, precentral gyrus, left precuneus, right inferior temporal gyrus and right fusiform; (3) hypoactivation in the bilateral lingual and the left middle frontal gyrus; and (4) both decreased GMV and increased activation in the left anterior cingulate. Furthermore, Meta-regression revealed that GMV reduction in left anterior cingulate were positively correlated with BIS-11 score [r = 0.725, p = 0.012(uncorrected)] and IAT score [r = 0.761, p = 0.017(uncorrected)]. Conclusion This meta-analysis showed structural and functional impairments in brain regions related to executive control, cognitive function and reward-based decision making in IGD. Furthermore, multi-domain assessments captured different aspects of neuronal changes in IGD, which may help develop effective interventions as potential therapeutic targets.
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Affiliation(s)
- Xiaoyu Niu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Magnetic Resonance and Brain Function, Zhengzhou, China
- Henan Engineering Technology Research Center for Detection and Application of Brain Function, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, Zhengzhou, China
- Henan Key Laboratory of Imaging Intelligence Research, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Xinyu Gao
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Magnetic Resonance and Brain Function, Zhengzhou, China
- Henan Engineering Technology Research Center for Detection and Application of Brain Function, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, Zhengzhou, China
- Henan Key Laboratory of Imaging Intelligence Research, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Magnetic Resonance and Brain Function, Zhengzhou, China
- Henan Engineering Technology Research Center for Detection and Application of Brain Function, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, Zhengzhou, China
- Henan Key Laboratory of Imaging Intelligence Research, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Zhengui Yang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Magnetic Resonance and Brain Function, Zhengzhou, China
- Henan Engineering Technology Research Center for Detection and Application of Brain Function, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, Zhengzhou, China
- Henan Key Laboratory of Imaging Intelligence Research, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Miaomiao Yu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Magnetic Resonance and Brain Function, Zhengzhou, China
- Henan Engineering Technology Research Center for Detection and Application of Brain Function, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, Zhengzhou, China
- Henan Key Laboratory of Imaging Intelligence Research, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Magnetic Resonance and Brain Function, Zhengzhou, China
- Henan Engineering Technology Research Center for Detection and Application of Brain Function, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, Zhengzhou, China
- Henan Key Laboratory of Imaging Intelligence Research, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Magnetic Resonance and Brain Function, Zhengzhou, China
- Henan Engineering Technology Research Center for Detection and Application of Brain Function, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, Zhengzhou, China
- Henan Key Laboratory of Imaging Intelligence Research, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Magnetic Resonance and Brain Function, Zhengzhou, China
- Henan Engineering Technology Research Center for Detection and Application of Brain Function, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, Zhengzhou, China
- Henan Key Laboratory of Imaging Intelligence Research, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
- Jingliang Cheng,
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Magnetic Resonance and Brain Function, Zhengzhou, China
- Henan Engineering Technology Research Center for Detection and Application of Brain Function, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, Zhengzhou, China
- Henan Key Laboratory of Imaging Intelligence Research, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
- Shaoqiang Han,
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Magnetic Resonance and Brain Function, Zhengzhou, China
- Henan Engineering Technology Research Center for Detection and Application of Brain Function, Zhengzhou, China
- Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China
- Henan Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging, Zhengzhou, China
- Henan Key Laboratory of Imaging Intelligence Research, Zhengzhou, China
- Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
- *Correspondence: Yong Zhang,
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Seo EH, Yang HJ, Kim SG, Park SC, Lee SK, Yoon HJ. A Literature Review on the Efficacy and Related Neural Effects of Pharmacological and Psychosocial Treatments in Individuals With Internet Gaming Disorder. Psychiatry Investig 2021; 18:1149-1163. [PMID: 34872237 PMCID: PMC8721297 DOI: 10.30773/pi.2021.0207] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 09/05/2021] [Accepted: 10/27/2021] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE Internet gaming disorder (IGD) has attracted considerable attention as a serious mental and public health issue worldwide. Currently, there are no established treatment guidelines for IGD. Herein, we review the latest findings on the efficacy and related neural effects of pharmacological and psychosocial treatments for individuals with IGD. METHODS A database search of relevant studies published between 2007 and 2020 was conducted using PubMed and Google Scholar. Twenty-seven studies were reviewed for current evidence related to the efficacy and neural effects of pharmacological and psychosocial IGD treatments. RESULTS Pharmacological studies suggest that bupropion may play a significant role in IGD. Additionally, nuclear imaging studies on IGD have demonstrated functional impairment of the dopamine system, providing a neurobiological basis for the efficacy of dopamineenhancing drugs. Among the various psychosocial interventions, current evidence suggests that cognitive behavioral therapy may be an effective intervention for IGD. Cognitive behavioral therapy and bupropion were found to influence resting-state functional connectivity within the cortico-subcortical circuit and default mode network, suggesting a possible neural mechanism. Innovative approaches, including virtual reality treatment, residential camps, voluntary abstinence, and transcranial direct current stimulation, have shown promising results. However, methodological limitations, such as the absence of proper controls, small sample sizes, short duration, inconsistency of inclusion criteria across studies, and self-report measures of outcome, hamper conclusions regarding the efficacy of treatments. CONCLUSION Ongoing basic research and clinical trials overcoming these limitations could add to the existing knowledge on IGD and contribute to the development of evidence-based treatments.
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Affiliation(s)
- Eun Hyun Seo
- Premedical Science, College of Medicine, Chosun University, Gwangju, Republic of Korea
| | - Hae-Jung Yang
- Department of Psychiatry, Chosun University Hospital, Gwangju, Republic of Korea
| | - Seung-Gon Kim
- Department of Psychiatry, Chosun University Hospital, Gwangju, Republic of Korea
- Department of Psychiatry, College of Medicine, Chosun University, Gwangju, Republic of Korea
| | - Seon-Cheol Park
- Department of Psychiatry, Hanyang University Guri Hospital, Guri, Republic of Korea
| | - Sang-Kyu Lee
- Department of Psychiatry, College of Medicine, Hallym University, Chuncheon, Republic of Korea
| | - Hyung-Jun Yoon
- Department of Psychiatry, Chosun University Hospital, Gwangju, Republic of Korea
- Department of Psychiatry, College of Medicine, Chosun University, Gwangju, Republic of Korea
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Sun X, Duan C, Niu G, Tian Y, Zhang Y. Mindfulness buffers the influence of stress on cue-induced craving for Internet among Chinese colleges with problematic Internet use. J Behav Addict 2021; 10:983-989. [PMID: 34797217 PMCID: PMC8987433 DOI: 10.1556/2006.2021.00080] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 07/30/2021] [Accepted: 10/28/2021] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND AND AIMS Stress is a common experience among college students with problematic Internet use, and it may exacerbate their cue-induced Internet craving. This study aimed to examine the influence of stress on cue-induced craving for the Internet among subjects with problematic Internet use and the buffering effect of mindfulness. METHODS Sixty-eight college students with problematic Internet use were assigned to groups with a 2 (stress vs. no-stress) × 2 (high vs. low mindfulness) between-subject design. RESULTS It was deduced that stress could significantly enhance cue-induced craving for the Internet, and mindfulness could buffer this effect. Specifically, the effect of stress on cue-induced craving for the Internet was weaker among subjects with high mindfulness as compared to subjects with low mindfulness. DISCUSSION AND CONCLUSIONS These findings contribute to understanding of the factors influencing problematic Internet use and how such factors interact. It also provides recommendations on how to prevent the progression of problematic Internet use and suggests possible interventions.
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Affiliation(s)
- Xiaojun Sun
- School of Psychology, Central China Normal University, Wuhan, 430079, China
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, 430079, China
- Beijing Normal University Collaboration Innovation Center, Central China Normal University Branch, Wuhan, 430079, China
| | - Changying Duan
- School of Psychology, Central China Normal University, Wuhan, 430079, China
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, 430079, China
| | - Gengfeng Niu
- School of Psychology, Central China Normal University, Wuhan, 430079, China
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, 430079, China
- Beijing Normal University Collaboration Innovation Center, Central China Normal University Branch, Wuhan, 430079, China
| | - Yuan Tian
- School of Psychology, Central China Normal University, Wuhan, 430079, China
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, 430079, China
- Beijing Normal University Collaboration Innovation Center, Central China Normal University Branch, Wuhan, 430079, China
| | - Yamei Zhang
- School of Psychology, Central China Normal University, Wuhan, 430079, China
- Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, 430079, China
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33
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Zhou WR, Wang M, Dong HH, Zhang Z, Du X, Potenza MN, Dong GH. Imbalanced sensitivities to primary and secondary rewards in internet gaming disorder. J Behav Addict 2021; 10:990-1004. [PMID: 34727087 PMCID: PMC8987426 DOI: 10.1556/2006.2021.00072] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 07/14/2021] [Accepted: 10/04/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Internet gaming disorder (IGD) is a type of behavioral addiction characterized by poorly controlled and interfering patterns of game playing. Studies have suggested that the IGD is usually accompanied by increased desire or craving for gaming, suggesting that secondary rewards related to gaming may become more salient than those for primary rewards like food. However, this hypothesis has not been formally tested and potential neural mechanisms remain unclear. METHODS This is a functional magnetic resonance imaging (fMRI) study. Twenty-one IGD subjects and 23 matched individuals with recreational game use (RGU) were scanned when exposed to gaming (secondary rewards), food (primary rewards) and neutral cues. Group-by-cue-type interaction analyses and subsequent within-group analyses for fMRI data were performed and seed-based functional connectivity (FC) analyses explored further potential neural features. RESULTS IGD subjects' subjective craving responses to gaming cues were higher than to food cues, while the opposite was observed in RGU subjects. Group-by-cue interaction effects implicated the precuneus and precuneus-caudate FC. Simple effect analysis showed that for IGD subjects, gaming-related cues elicited higher FC in precuneus-caudate relationships than did food-related cues. In the RGU subjects, the opposite was observed. Significant correlations were found between brain features and craving scores. CONCLUSIONS These results support the hypothesis regarding imbalances in sensitivities to different types of reward in IGD, and suggest neural mechanisms by which craving for gaming may make secondary rewards more salient than primary ones, thus promoting participation in addictive patterns of gaming.
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Affiliation(s)
- Wei-Ran Zhou
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
- Institutes of Psychological Sciences, Hangzhou Normal University, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
| | - Min Wang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
| | - Hao-Hao Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
| | - Zhaojie Zhang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
- Institutes of Psychological Sciences, Hangzhou Normal University, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
| | - Xiaoxia Du
- School of Psychology, Shanghai University of Sport, Shanghai, PR China
| | - Marc N. Potenza
- Department of Psychiatry and the Child Study Center, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University, New Haven, CT, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT, USA
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
- Institutes of Psychological Sciences, Hangzhou Normal University, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
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Cho IH, Yoo JH, Chun JW, Cho H, Kim JY, Choi J, Kim DJ. Reduced Volume of a Brainstem Substructure in Adolescents with Problematic Smartphone Use. Soa Chongsonyon Chongsin Uihak 2021; 32:137-143. [PMID: 34671186 PMCID: PMC8499038 DOI: 10.5765/jkacap.210007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 05/02/2021] [Accepted: 05/10/2021] [Indexed: 11/09/2022] Open
Abstract
Objectives Despite the growing concern regarding the adverse effects related to problematic smartphone use (PSU), little is known about underlying morphologic changes in the brain. The brainstem is a deep brain structure that consists of several important nuclei associated with emotions, sensations, and motor functions. In this study, we sought to examine the difference in the volume of brainstem substructures among adolescents with and without PSU. Methods A total of 87 Korean adolescents participated in this study. The PSU group (n=20, age=16.2±1.1, female:male=12:8) was designated if participants reported a total Smartphone Addiction Proneness Scale (SAPS) score of ≥42, whereas the remaining participants were assigned to the control group (n=67, age=15.3±1.7, female:male=19:48). High-resolution T1 magnetic resonance imaging was performed, and the volume of each of the four brainstem substructures [midbrain, pons, medulla, and superior cerebellar peduncle (SCP)] was measured. Analysis of covariance was conducted to reveal group differences after adjusting for effects of age, gender, whole brain-stem volume, depressive symptoms, and impulsivity. Results The PSU group showed a significantly smaller volume of the SCP than the control group (F=8.273, p=0.005). The volume of the SCP and the SAPS score were negatively correlated (Pearson’s r=-0.218, p=0.047). Conclusion The present study is the first to reveal an altered volume of the brainstem substructure among adolescents with PSU. This finding suggests that the altered white matter structure in the brainstem could be one of the neurobiological mechanisms underlying behavioral changes in PSU.
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Affiliation(s)
- In Hee Cho
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jae Hyun Yoo
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ji-Won Chun
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyun Cho
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jin-Young Kim
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jihye Choi
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Dai-Jin Kim
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
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35
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Ha J, Park W, Park SI, Im CH, Kim L. EEG response to game-craving according to personal preference for games. Soc Cogn Affect Neurosci 2021; 16:995-1005. [PMID: 33064824 PMCID: PMC8421702 DOI: 10.1093/scan/nsaa131] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Revised: 08/19/2020] [Accepted: 10/12/2020] [Indexed: 12/22/2022] Open
Abstract
Recently, the World Health Organization included ‘gaming disorder’ in its latest revision of the international classification of diseases (ICD-11). Despite extensive research on internet gaming disorder (IGD), few studies have addressed game-related stimuli eliciting craving, which plays an important role in addiction. Particularly, most previous studies did not consider personal preferences in games presented to subjects as stimuli. In this study, we compared neurophysiological responses elicited for favorite game (FG) videos and non-favorite game (NFG) videos. We aimed to demonstrate neurophysiological characteristics according to the game preference in the IGD group. We measured participants’ electroencephalogram (EEG) while they watched FG, NFG and neutral videos. For FG videos, the parieto-occipital theta power (TPPO) were significantly increased compared with those for NFG videos (P < 0.05, paired t-test). TPPO also differed significantly between the healthy control and IGD groups only on FG videos controlling covariate (TPPO on neutral videos) (P < 0.05, analysis of covariance [ANCOVA]). And TPPO was significantly correlated to self-reported craving score only on FG videos (r = 0.334, P < 0.05). In the present study, we demonstrate that FG videos induce higher TPPO than that induced by NFG videos in the IGD group and TPPO is a reliable EEG feature associated with craving for gaming.
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Affiliation(s)
- Jihyeon Ha
- Center for Bionics, Korea Institute of Science and Technology, Seoul, 02792, Korea.,Department of Biomedical Engineering, Hanyang University, Seoul, 04763, Korea
| | - Wanjoo Park
- Engineering Division, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, 129188, United Arab Emirates
| | - Sang In Park
- Center for Bionics, Korea Institute of Science and Technology, Seoul, 02792, Korea
| | - Chang-Hwan Im
- Department of Biomedical Engineering, Hanyang University, Seoul, 04763, Korea
| | - Laehyun Kim
- Center for Bionics, Korea Institute of Science and Technology, Seoul, 02792, Korea
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Xu LX, Wu LL, Geng XM, Wang ZL, Guo XY, Song KR, Liu GQ, Deng LY, Zhang JT, Potenza MN. A review of psychological interventions for internet addiction. Psychiatry Res 2021; 302:114016. [PMID: 34087672 DOI: 10.1016/j.psychres.2021.114016] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 05/16/2021] [Indexed: 12/20/2022]
Abstract
Internet addiction (IA) may constitute a widespread and serious mental problem. Previous reviews have not fully considered potential factors that may contribute to therapeutic outcomes or predict behavioral changes. Such information is relevant to understand the active ingredients of interventions and to develop more efficacious treatments that target features of IA. This systematic review was designed to relate theories of IA to treatments, describe studies of psychotherapies for IA, and propose a model of addiction and interventions based on extant studies. A computer database search of PubMed, PsychINFO, ScienceDirect, China National Knowledge Infrastructure, and Google Scholar was conducted to identify all available research evidence on psychological treatments for IA (N = 31 studies). Among these psychological interventions, the targeted reduction of addiction-related impulsivity and craving, improvement of cognitive maladjustment, and alleviation of family problems have been investigated in IA interventions. The targeted domains and intervention methods are not mutually exclusive, and further research is needed to demonstrate the effective components and mechanisms of action for treatments of IA. Such research will help generate more efficacious evidence-based interventions.
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Affiliation(s)
- Lin-Xuan Xu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Lu-Lu Wu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Xiao-Min Geng
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Zi-Liang Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | | | - Kun-Ru Song
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Guan-Qun Liu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Lin-Yuan Deng
- Faculty of Education, Beijing Normal University, Beijing 100875, China
| | - Jin-Tao Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
| | - Marc N Potenza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Child Study Center, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, Connecticut Mental Health Center, New Haven, Connecticut Council on Problem Gambling, Wethersfield, CT, USA; Connecticut Council on Problem Gambling, Wethersfield, CT, USA; Connecticut Mental Health Center, New Haven, CT, USA
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Dell’Osso B, Di Bernardo I, Vismara M, Piccoli E, Giorgetti F, Molteni L, Fineberg NA, Virzì C, Bowden-Jones H, Truzoli R, Viganò C. Managing Problematic Usage of the Internet and Related Disorders in an Era of Diagnostic Transition: An Updated Review. Clin Pract Epidemiol Ment Health 2021; 17:61-74. [PMID: 34497661 PMCID: PMC8386084 DOI: 10.2174/1745017902117010061] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 03/12/2021] [Accepted: 03/12/2021] [Indexed: 01/28/2023]
Abstract
INTRODUCTION Problematic Usage of the Internet (PUI) refers to a broad and likely heterogeneous group of Internet-related conditions associated with behavioural disturbances and functional impairment. METHODS Within PUI several conditions have been reported, including Gaming Disorder, Shopping Addiction, Cyberchondria, Gambling Disorder, Cyberpornography Addiction and Cyberbullying. While increasing reports in the field try to define the epidemiologic and clinical boundaries of these conditions, the rapid and continuous evolution of Internet related behaviours as well as their problematic/pathological expressions are often difficult to diagnose, assess, approach with treatment interventions and follow-up. RESULTS In addition, some of the PUI-related conditions show characteristics of addiction to the Internet as a preferential tool to engage in specific behaviours, while some others exclusively manifest on the Internet, making it necessary to find distinct assessment and treatment pathways. CONCLUSION The inclusion of Internet Gaming Disorder in Section III by the DSM-5 and the recognition of Gaming Disorder by the ICD-11 opened the way for a systematic clinical investigation of this and other PUI-related conditions, particularly in terms of preventive and therapeutic strategies. The present article is aimed at offering an updated clinical overview on the main expressions of PUI, focussing on the latest acquisitions in this evolving field.
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Affiliation(s)
- Bernardo Dell’Osso
- Department of Psychiatry, University of Milan, Department of Biomedical and Clinical Sciences “Luigi Sacco”, ASST Fatebenefratelli-Sacco, Milan, Italy
- Department of Psychiatry, Bipolar Disorders Clinic, Stanford Medical School, Stanford University, Stanford, CA, USA
- Aldo Ravelli” Center for Neurotechnology and Brain Therapeutic, University of Milan, 20142 Milan, Italy
| | - Ilaria Di Bernardo
- Department of Psychiatry, University of Milan, Department of Biomedical and Clinical Sciences “Luigi Sacco”, ASST Fatebenefratelli-Sacco, Milan, Italy
| | - Matteo Vismara
- Department of Psychiatry, University of Milan, Department of Biomedical and Clinical Sciences “Luigi Sacco”, ASST Fatebenefratelli-Sacco, Milan, Italy
| | - Eleonora Piccoli
- Department of Psychiatry, University of Milan, Department of Biomedical and Clinical Sciences “Luigi Sacco”, ASST Fatebenefratelli-Sacco, Milan, Italy
| | - Federica Giorgetti
- Department of Psychiatry, University of Milan, Department of Biomedical and Clinical Sciences “Luigi Sacco”, ASST Fatebenefratelli-Sacco, Milan, Italy
| | - Laura Molteni
- Department of Psychiatry, University of Milan, Department of Biomedical and Clinical Sciences “Luigi Sacco”, ASST Fatebenefratelli-Sacco, Milan, Italy
| | - Naomi A. Fineberg
- Hertfordshire Partnership University NHS Foundation Trust, Rosanne House, Welwyn Garden City, Hertfordshire AL8 6HG, UK
- Center for Clinical & Health Research Services, School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Calogero Virzì
- Department of Psychiatry, University of Milan, Department of Biomedical and Clinical Sciences “Luigi Sacco”, ASST Fatebenefratelli-Sacco, Milan, Italy
- Department of Clinical and Molecular Biomedicine, Psychiatry Unit, University of Catania, Catania, Italy
| | - Henrietta Bowden-Jones
- Central North West London NHS Trust, Division of Brain Science, Imperial College London, London, UK
| | - Roberto Truzoli
- Department of Psychiatry, University of Milan, Department of Biomedical and Clinical Sciences “Luigi Sacco”, ASST Fatebenefratelli-Sacco, Milan, Italy
| | - Caterina Viganò
- Department of Psychiatry, University of Milan, Department of Biomedical and Clinical Sciences “Luigi Sacco”, ASST Fatebenefratelli-Sacco, Milan, Italy
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Dong GH, Wang M, Zheng H, Wang Z, Du X, Potenza MN. Disrupted prefrontal regulation of striatum-related craving in Internet gaming disorder revealed by dynamic causal modeling: results from a cue-reactivity task. Psychol Med 2021; 51:1549-1561. [PMID: 32102722 DOI: 10.1017/s003329172000032x] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Studies of Internet gaming disorder (IGD) suggest an imbalanced relationship between cognitive control and reward processing in people with IGD. However, it remains unclear how these two systems interact with each other, and whether they could serve as neurobiological markers for IGD. METHODS Fifty IGD subjects and matched individuals with recreational game use (RGU) were selected and compared when they were performing a cue-craving task. Regions of interests [anterior cingulate cortex (ACC), lentiform nucleus] were selected based on the comparison between brain responses to gaming-related cues and neutral cues. Directional connectivities among these brain regions were determined using Bayesian estimation. We additionally examined the posterior cingulate cortex (PCC) in a separate analysis based on data implicating the PCC in craving in addiction. RESULTS During fixed-connectivity analyses, IGD subjects showed blunted ACC-to-lentiform and lentiform-to-ACC connectivity relative to RGU subjects, especially in the left hemisphere. When facing gaming cues, IGD subjects trended toward lower left-hemispheric modulatory effects in ACC-to-lentiform connectivity than RGU subjects. Self-reported cue-related craving prior to scanning correlated inversely with left-hemispheric modulatory effects in ACC-to-lentiform connectivity. CONCLUSIONS The results suggesting that prefrontal-to-lentiform connectivity is impaired in IGD provides a possible neurobiological mechanism for difficulties in controlling gaming-cue-elicited cravings. Reduced connectivity ACC-lentiform connectivity may be a useful neurobiological marker for IGD.
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Affiliation(s)
- Guang-Heng Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
| | - Min Wang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, PR China
| | - Ziliang Wang
- School of Psychology, Beijing Normal University, Beijing10010, PR China
| | - Xiaoxia Du
- Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, PR China
| | - Marc N Potenza
- Connecticut Mental Health Center, New Haven, CT, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT, USA
- Department of Psychiatry, Department of Neurobiology, and Child Study Center, Yale University School of Medicine, New Haven, CT, USA
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Song K, Potenza MN, Fang X, Gong G, Yao Y, Wang Z, Liu L, Ma S, Xia C, Lan J, Deng L, Wu L, Zhang J. Resting-state connectome-based support-vector-machine predictive modeling of internet gaming disorder. Addict Biol 2021; 26:e12969. [PMID: 33047425 DOI: 10.1111/adb.12969] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 08/10/2020] [Accepted: 09/16/2020] [Indexed: 02/06/2023]
Abstract
Internet gaming disorder (IGD), a worldwide mental health issue, has been widely studied using neuroimaging techniques during the last decade. Although dysfunctions in resting-state functional connectivity have been reported in IGD, mapping relationships from abnormal connectivity patterns to behavioral measures have not been fully investigated. Connectome-based predictive modeling (CPM)-a recently developed machine-learning approach-has been used to examine potential neural mechanisms in addictions and other psychiatric disorders. To identify the resting-state connections associated with IGD, we modified the CPM approach by replacing its core learning algorithm with a support vector machine. Resting-state functional magnetic resonance imaging (fMRI) data were acquired in 72 individuals with IGD and 41 healthy comparison participants. The modified CPM was conducted with respect to classification and regression. A comparison of whole-brain and network-based analyses showed that the default-mode network (DMN) is the most informative network in predicting IGD both in classification (individual identification accuracy = 78.76%) and regression (correspondence between predicted and actual psychometric scale score: r = 0.44, P < 0.001). To facilitate the characterization of the aberrant resting-state activity in the DMN, the identified networks have been mapped into a three-subsystem division of the DMN. Results suggest that individual differences in DMN function at rest could advance our understanding of IGD and variability in disorder etiology and intervention outcomes.
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Affiliation(s)
- Kun‐Ru Song
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Marc N. Potenza
- Department of Psychiatry Yale University School of Medicine New Haven Connecticut USA
- Child Study Center Yale University School of Medicine New Haven Connecticut USA
- Department of Neuroscience Yale University School of Medicine, Connecticut Mental Health Center, New Haven, Connecticut Council on Problem Gambling Wethersfield Connecticut USA
| | - Xiao‐Yi Fang
- Institute of Developmental Psychology Beijing Normal University Beijing China
| | - Gao‐Lang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Yuan‐Wei Yao
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- Department of Education and Psychology Freie Universität Berlin Berlin Germany
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Zi‐Liang Wang
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Lu Liu
- Institute of Developmental Psychology Beijing Normal University Beijing China
- Department of Decision Neuroscience and Nutrition German Institute of Human Nutrition Potsdam‐Rehbruecke Nuthetal Germany
| | - Shan‐Shan Ma
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- Institute of Developmental Psychology Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Cui‐Cui Xia
- Psychological Counseling Center Beijing Normal University Beijing China
| | - Jing Lan
- Institute of Developmental Psychology Beijing Normal University Beijing China
| | - Lin‐Yuan Deng
- Faculty of Education Beijing Normal University Beijing China
| | - Lu‐Lu Wu
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Jin‐Tao Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
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40
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Han DH, Bae S, Hong J, Kim SM, Son YD, Renshaw P. Resting-State fMRI Study of ADHD and Internet Gaming Disorder. J Atten Disord 2021; 25:1080-1095. [PMID: 31640464 DOI: 10.1177/1087054719883022] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Objective: We aimed to understand whether Attention Deficit Hyperactivity Disorder (ADHD) and Internet gaming disorder (IGD) share similar brain functional connectivity (FC) between the frontal and subcortices. Method: We compared changes in clinical symptoms and brain activity using functional magnetic resonance imaging (fMRI) in 26 patients with ADHD but without IGD, 29 patients with ADHD and IGD, and 20 patients with IGD but without ADHD. Results: The functional connectivity (FC) from the cortex to subcortex in both groups was decreased relative to that in age-matched healthy participants. One-year treatment for ADHD and IGD symptoms increased the FC between the cortex and subcortex in all ADHD participants and all IGD participants with good prognoses compared with those in all ADHD participants and all IGD participants with poor prognoses. Conclusion: Patients with ADHD and IGD shared similar brain FC at baseline and FC changes in response to treatment.
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Affiliation(s)
| | - Sujin Bae
- Chung-Ang University, Seoul, South Korea
| | - Jisun Hong
- Chung-Ang University, Seoul, South Korea
| | - Sun Mi Kim
- Chung-Ang University Hospital, Seoul, South Korea
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41
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Hassan M, Kyonka EGE. A Behavior Analytic Perspective on Treatment of Problem Gaming and Problem Social Media Use. PSYCHOLOGICAL RECORD 2021. [DOI: 10.1007/s40732-021-00465-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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42
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Yu F, Sariyska R, Lachmann B, Wang Q, Reuter M, Weber B, Trautner P, Yao S, Montag C, Becker B. Convergent cross-sectional and longitudinal evidence for gaming-cue specific posterior parietal dysregulations in early stages of internet gaming disorder. Addict Biol 2021; 26:e12933. [PMID: 32602162 DOI: 10.1111/adb.12933] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 05/14/2020] [Accepted: 06/12/2020] [Indexed: 12/29/2022]
Abstract
Exaggerated reactivity to drug-cues and emotional dysregulations represent key symptoms of early stages of substance use disorders. The diagnostic criteria for (Internet) gaming disorder strongly resemble symptoms for substance-related addictions. However, previous cross-sections studies revealed inconsistent results with respect to neural cue reactivity and emotional dysregulations in these populations. To this end, the present fMRI study applied a combined cross-sectional and longitudinal design in regular online gamers (n = 37) and gaming-naïve controls (n = 67). To separate gaming-associated changes from predisposing factors, gaming-naive subjects were randomly assigned to 6 weeks of daily Internet gaming or a non-gaming condition. At baseline and after the training, subjects underwent an fMRI paradigm presenting gaming-related cues and non-gaming-related emotional stimuli. Cross-sectional comparisons revealed gaming-cue specific enhanced valence attribution and neural reactivity in a parietal network, including the posterior cingulate in regular gamers as compared to gaming naïve-controls. Longitudinal analysis revealed that 6 weeks of gaming elevated valence ratings as well as neural cue-reactivity in a similar parietal network, specifically the posterior cingulate in previously gaming-naïve controls. Together, the longitudinal design did not reveal supporting evidence for altered emotional processing of non-gaming associated stimuli in regular gamers whereas convergent evidence for increased emotional and neural reactivity to gaming-associated stimuli was observed. Findings suggest that exaggerated neural reactivity in posterior parietal regions engaged in default mode and automated information processing already occur during early stages of regular gaming and probably promote continued engagement in gaming behavior.
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Affiliation(s)
- Fangwen Yu
- The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation University of Electronic Science and Technology of China Chengdu China
| | - Rayna Sariyska
- Institute of Psychology and Education Ulm University Ulm Baden‐Württemberg Germany
| | - Bernd Lachmann
- Institute of Psychology and Education Ulm University Ulm Baden‐Württemberg Germany
| | - Qianqian Wang
- The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation University of Electronic Science and Technology of China Chengdu China
| | - Martin Reuter
- Department of Psychology University of Bonn Bonn North Rhine‐Westphalia Germany
- Center for Economics and Neuroscience University of Bonn Bonn North Rhine‐Westphalia Germany
| | - Bernd Weber
- Center for Economics and Neuroscience University of Bonn Bonn North Rhine‐Westphalia Germany
- Department for NeuroCognition Life & Brain Center Bonn North Rhine‐Westphalia Germany
- Institute of Experimental Epileptology and Cognition Research University Hospital of Bonn Bonn North Rhine‐Westphalia Germany
| | - Peter Trautner
- Center for Economics and Neuroscience University of Bonn Bonn North Rhine‐Westphalia Germany
- Department for NeuroCognition Life & Brain Center Bonn North Rhine‐Westphalia Germany
- Institute of Experimental Epileptology and Cognition Research University Hospital of Bonn Bonn North Rhine‐Westphalia Germany
| | - Shuxia Yao
- The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation University of Electronic Science and Technology of China Chengdu China
| | - Christian Montag
- The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation University of Electronic Science and Technology of China Chengdu China
- Institute of Psychology and Education Ulm University Ulm Baden‐Württemberg Germany
| | - Benjamin Becker
- The Clinical Hospital of the Chengdu Brain Science Institute, Key Laboratory for NeuroInformation University of Electronic Science and Technology of China Chengdu China
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Liu L, Potenza MN, Lacadie CM, Zhang J, Yip SW, Xia C, Lan J, Yao Y, Deng L, Park SQ, Fang X. Altered intrinsic connectivity distribution in internet gaming disorder and its associations with psychotherapy treatment outcomes. Addict Biol 2021; 26:e12917. [PMID: 32415913 DOI: 10.1111/adb.12917] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 04/01/2020] [Accepted: 04/27/2020] [Indexed: 01/08/2023]
Abstract
Alterations in brain connectivity have been implicated in internet gaming disorder (IGD). However, little is known about alterations in whole-brain connectivity and their associations with long-term treatment outcomes. Here, we used a relatively new analytic approach, intrinsic connectivity distribution (ICD) analysis, to examine brain connectivity in 74 IGD participants and 41 matched healthy controls (HCs) and conducted post hoc seed-based resting-state functional connectivity (rsFC) analyses based on the ICD findings. We also examined how these findings related to outcomes involving a craving behavioral intervention (CBI) for IGD. IGD participants showed less whole-brain connectivity in the left angular gyrus and ventromedial prefrontal cortex (vmPFC) compared with HC participants. Seed-based rsFC analyses revealed that the left angular gyrus in the IGD group showed less connectivity with areas involved in the default-mode network and greater connectivity with areas in the salience and executive control networks. CBI was associated with improved connectivity within regions in the default-mode network and regions across the default-mode and salience networks. ICD-identified connectivity differences in the left angular gyrus and vmPFC were related to changes in craving and severity of addiction 6 months after the intervention. The findings suggest that IGD is associated with alterations in brain connectivity that may be sensitive to interventions. Thus, the findings have implications for understanding mechanisms underlying CBI effects and for further treatment development.
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Affiliation(s)
- Lu Liu
- Department of Decision Neuroscience and Nutrition German Institute of Human Nutrition (DIfE) Nuthetal Germany
- Institute of Developmental Psychology, Faculty of Psychology Beijing Normal University Beijing China
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
- Deutsches Zentrum für Diabetes (DZD) Neuherberg Germany
| | - Marc N. Potenza
- Department of Psychiatry and Child Study Center Yale School of Medicine New Haven Connecticut USA
- Department of Neuroscience Yale University New Haven Connecticut USA
- Connecticut Mental Health Center New Haven Connecticut USA
- Connecticut Council on Problem Gambling Wethersfield Connecticut USA
| | - Cheryl M. Lacadie
- Department of Radiology and Biomedical Imaging Yale School of Medicine New Haven Connecticut USA
| | - Jin‐Tao Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
- Center for Collaboration and Innovation in Brain and Learning Sciences Beijing Normal University Beijing China
| | - Sarah W. Yip
- Department of Psychiatry and Child Study Center Yale School of Medicine New Haven Connecticut USA
| | - Cui‐Cui Xia
- Institute of Developmental Psychology, Faculty of Psychology Beijing Normal University Beijing China
| | - Jing Lan
- Institute of Developmental Psychology, Faculty of Psychology Beijing Normal University Beijing China
- The Family Institute at Northwestern University Evanston Illinois USA
| | - Yuan‐Wei Yao
- Department of Education and Psychology Freie Universität Berlin Berlin Germany
- Einstein Center for Neurosciences Berlin Charité‐Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of Health Germany
- Berlin School of Mind and Brain Humboldt‐Universität zu Berlin Berlin Germany
| | - Lin‐Yuan Deng
- Faculty of Education Beijing Normal University Beijing China
| | - Soyoung Q. Park
- Department of Decision Neuroscience and Nutrition German Institute of Human Nutrition (DIfE) Nuthetal Germany
- Einstein Center for Neurosciences Berlin Charité‐Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of Health Germany
- Deutsches Zentrum für Diabetes (DZD) Neuherberg Germany
- Neuroscience Research Center Charité‐Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt‐Universität zu Berlin, and Berlin Institute of Health Berlin Germany
| | - Xiao‐Yi Fang
- Institute of Developmental Psychology, Faculty of Psychology Beijing Normal University Beijing China
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He J, Pan T, Nie Y, Zheng Y, Chen S. Behavioral modification decreases approach bias in young adults with internet gaming disorder. Addict Behav 2021; 113:106686. [PMID: 33069109 DOI: 10.1016/j.addbeh.2020.106686] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Revised: 09/26/2020] [Accepted: 09/26/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND One of the key symptoms of Internet gaming disorder is the impulsive pursuit of Internet games, which causes individuals with this disorder to have a tendency to approach gaming cues. Dual processing theory states that this approach bias is caused by the suppression of reflective processing and the hyperactivity of impulsive processing. Therefore, reverse modification training for approach bias can suppress impulsive processing, thereby reducing or treating the disorder. METHOD In this study, 48 individuals with Internet gaming disorder were selected and randomly assigned to the following two groups: the experimental group and the control group. The 24 participants in the experimental group received a 4-day stimulus-response compatibility (SRC) approach bias modification treatment, whereas the 24 participants in the control group received a corresponding SRC pseudomodification training. RESULTS The approach response time of both groups to the gaming cues was significantly shorter than that to the neutral cues at baseline. After the modification, the response time of the experimental group to the gaming cues significantly increased, whereas the scores for Internet gaming disorder severity, anxiety level and craving significantly decreased. However, the control group subjects did not show these effects. CONCLUSION The current results imply that individuals with Internet gaming disorder show approach bias toward Internet gaming cues, and SRC reverse modification training can significantly correct this bias and therefore have therapeutic effects to some extent.
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Affiliation(s)
- Jinbo He
- Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China.
| | - Ting Pan
- Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China
| | - Yufeng Nie
- Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China
| | - Yang Zheng
- Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China
| | - Suqing Chen
- Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China
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45
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Nie Y, Pan T, Zheng Y, Fan L, He J. Automatic detection advantage toward the intensity change of network signal cues among problematic internet users: an event-related potential study. CURRENT PSYCHOLOGY 2021. [DOI: 10.1007/s12144-021-01395-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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46
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Stopyra MA, Friederich HC, Lavandier N, Mönning E, Bendszus M, Herzog W, Simon JJ. Homeostasis and food craving in obesity: a functional MRI study. Int J Obes (Lond) 2021; 45:2464-2470. [PMID: 34404907 PMCID: PMC8528711 DOI: 10.1038/s41366-021-00920-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 07/12/2021] [Accepted: 07/20/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVES Food intake in obesity has been found to be reward-based and less contingent on homeostatic needs. Accordingly, previous studies investigating neural processing of food cues observed aberrant processing in reward- and control-related brain regions in obesity. To further investigate the relation between homeostasis and food intake, this study investigated the influence of glucose metabolism on the neuronal response during the regulation of food craving in participants with obesity. METHODS Twenty-five normal-weight and 25 women with obesity were examined on two occasions after receiving either water or glucose directly into the stomach using a nasogastric tube. Participants were blinded to the type of infusion and were required to refrain from eating for 16 h before each visit. An event-related fMRI paradigm was used to investigate the effect of intestinal glucose load on the neuronal response during the regulation of food craving. RESULTS A 2 × 2 mixed-model ANOVA revealed that craving regulation was associated with increased activation in fronto-parietal regions in participants with obesity when compared to healthy controls. However, this effect was observed independently from homeostatic satiety. A regression analysis revealed that the reduction of food craving was related to increased activation in the lingual gyrus in individuals with obesity following the infusion of water. CONCLUSIONS In participants with obesity, the neuronal response during the regulation of food craving is associated with increased neural cognitive top-down control and increased visual food processing. Since this observation was independent from satiety status, our results indicate a reduced influence of homeostasis on neural processing during food craving in obesity. This study was registered on clinicaltrials.org: NCT03075371.
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Affiliation(s)
- M. A. Stopyra
- grid.5253.10000 0001 0328 4908Department of General Internal Medicine and Psychosomatics, Centre for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - H.-C. Friederich
- grid.5253.10000 0001 0328 4908Department of General Internal Medicine and Psychosomatics, Centre for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - N. Lavandier
- grid.5253.10000 0001 0328 4908Department of General Internal Medicine and Psychosomatics, Centre for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - E. Mönning
- grid.5253.10000 0001 0328 4908Department of General Internal Medicine and Psychosomatics, Centre for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - M. Bendszus
- grid.5253.10000 0001 0328 4908Department of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany
| | - W. Herzog
- grid.5253.10000 0001 0328 4908Department of General Internal Medicine and Psychosomatics, Centre for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | - J. J. Simon
- grid.5253.10000 0001 0328 4908Department of General Internal Medicine and Psychosomatics, Centre for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany
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47
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Gao X, Zhang M, Yang Z, Wen M, Huang H, Zheng R, Wang W, Wei Y, Cheng J, Han S, Zhang Y. Structural and Functional Brain Abnormalities in Internet Gaming Disorder and Attention-Deficit/Hyperactivity Disorder: A Comparative Meta-Analysis. Front Psychiatry 2021; 12:679437. [PMID: 34276447 PMCID: PMC8281314 DOI: 10.3389/fpsyt.2021.679437] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 05/21/2021] [Indexed: 12/20/2022] Open
Abstract
Background: Patients with Internet gaming disorder (IGD) and attention-deficit/hyperactivity disorder (ADHD) have high comorbidity but it is still unknown whether these disorders have shared and distinctive neuroimage alterations. Objective: The aim of this meta-analysis was to identify shared and disorder-specific structural, functional, and multimodal abnormalities between IGD and ADHD. Methods: A systematic literature search was conducted for whole-brain voxel-based morphometry (VBM) and functional magnetic resonance imaging (fMRI) studies comparing people with IGD or ADHD with healthy controls. Regional gray matter volume (GMV) and fMRI differences were compared over the patient groups and then a quantitative comparison was performed to find abnormalities (relative to controls) between IGD and ADHD using seed-based d mapping meta-analytic methods. Result: The meta-analysis contained 14 IGD VBM studies (contrasts covering 333 IGDs and 335 HCs), 26 ADHD VBM studies (1,051 patients with ADHD and 887 controls), 30 IGD fMRI studies (603 patients with IGD and 564 controls), and 29 ADHD fMRI studies (878 patients with ADHD and 803 controls). Structurally, VBM analysis showed disorder-specific GMV abnormality in the putamen among IGD subjects and orbitofrontal cortex in ADHD and shared GMV in the prefrontal cortex. Functionally, fMRI analysis discovered that IGD-differentiating increased activation in the precuneus and shared abnormal activation in anterior cingulate cortex, insular, and striatum. Conclusion: IGD and ADHD have shared and special structural and functional alterations. IGD has disorder-differentiating structural alterations in the putamen and ADHD has alterations in the orbitofrontal cortex. Disorder-differentiating fMRI activations were predominantly observed in the precuneus among IGD subjects and shared impairing function connection was in the rewards circuit (including ACC, OFC, and striatum).
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Affiliation(s)
- Xinyu Gao
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China
| | - Zhengui Yang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China
| | - Mengmeng Wen
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China
| | - Huiyu Huang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, Zhengzhou, China.,Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, Zhengzhou, China
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Kircaburun K, Pontes HM, Stavropoulos V, Griffiths MD. A brief psychological overview of disordered gaming. Curr Opin Psychol 2020; 36:38-43. [DOI: 10.1016/j.copsyc.2020.03.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 03/13/2020] [Accepted: 03/16/2020] [Indexed: 12/20/2022]
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49
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Tomova L, Wang KL, Thompson T, Matthews GA, Takahashi A, Tye KM, Saxe R. Acute social isolation evokes midbrain craving responses similar to hunger. Nat Neurosci 2020; 23:1597-1605. [DOI: 10.1038/s41593-020-00742-z] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 10/15/2020] [Indexed: 12/12/2022]
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50
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Kang X, Handayani DOD, Chong PP, Acharya UR. Profiling of pornography addiction among children using EEG signals: A systematic literature review. Comput Biol Med 2020; 125:103970. [PMID: 32892114 DOI: 10.1016/j.compbiomed.2020.103970] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 08/09/2020] [Accepted: 08/09/2020] [Indexed: 01/15/2023]
Abstract
Nowadays human behavior has been affected with the advent of new digital technologies. Due to the rampant use of the Internet by children, many have been addicted to pornography. This addiction has negatively affected the behaviors of children including increased impulsiveness, learning ability to attention, poor decision-making, memory problems, and deficit in emotion regulation. The children with porn addiction can be identified by parents and medical practitioners as third-party observers. This systematic literature review (SLR) is conducted to increase the understanding of porn addiction using electroencephalogram (EEG) signals. We have searched five different databases namely IEEE, ACM, Science Direct, Springer and National Center for Biotechnology Information (NCBI) using addiction, porn, and EEG as keywords along with 'OR 'operation in between the expressions. We have selected 46 studies in this work by screening 815,554 papers from five databases. Our results show that it is possible to identify children with porn addiction using EEG signals.
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Affiliation(s)
- Xiaoxi Kang
- Master of Computer Science, Taylor's University, 1, Jalan Taylors, 47500, Subang Jaya, Selangor, Malaysia.
| | - Dini Oktarina Dwi Handayani
- School of Computer Science & Engineering, Faculty of Innovation & Technology, Taylor's University, 1, Jalan Taylors, 47500, Subang Jaya, Selangor, Malaysia.
| | - Pei Pei Chong
- School of Biosciences, Faculty of Health and Medical Sciences, Taylor's University, 1 Jalan Taylors, 47500, Subang Jaya, Selangor, Malaysia.
| | - U Rajendra Acharya
- Ngee Ann, Singapore University of Social Science, University of Malaya, Malaysia; Department of Bioinformatics and Medical Engineering, Asia University, Taiwan.
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