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Lopez DA, Foxe JJ, van Wijngaarden E, Thompson WK, Freedman EG. The longitudinal association between reward processing and symptoms of video game addiction in the Adolescent Brain Cognitive Development Study. J Behav Addict 2024; 13:1051-1063. [PMID: 39656219 PMCID: PMC11737415 DOI: 10.1556/2006.2024.00068] [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: 04/15/2024] [Revised: 08/16/2024] [Accepted: 11/19/2024] [Indexed: 01/01/2025] Open
Abstract
Background and aims Video games are a common form of entertainment in adolescents, which may result in gaming habits characterized by impairment to reward-related decision-making. The aim of the current study was to investigate the relationship between reward processing and symptoms of gaming addiction in adolescents. Methods Data from three consecutive follow-up years (years 2, 3 and 4) of the Adolescent Brain Cognitive Development (ABCD) Study were analyzed (n = 6,143, total observations = 12,745, mean age at year-2 = 12 years). Participants completed the Video Game Addiction Questionnaire (VGAQ) at each visit. Discrete stages of reward processing were measured at the year-2 visit using the Monetary Incentive Delay task while the participant completed a functional magnetic resonance imaging (fMRI) scan. Bayesian hierarchical linear models were employed to examine the longitudinal association between reward processing in regions of interest at year-2 and VGAQ scores over time. Results Lower activation in the bilateral caudate during the anticipation of a large reward (β = -0.87, 95% CI: -1.68, -0.07) was associated with greater VGAQ scores over time. This implies that for each one-unit increase in brain activity in the caudate, there was an associated 0.87-point decrease in symptoms of gaming addiction as measured by the VGAQ. No association was found between reward feedback and VGAQ scores. Discussion and Conclusions The findings suggest that abnormal reward processing in the caudate nucleus is associated with symptoms of gaming addiction in adolescents. These results provide a clearer understanding of the brain mechanisms involved in gaming addiction, which could inform future preventive and therapeutic strategies.
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Affiliation(s)
- Daniel A. Lopez
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, The Ernest J. Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
- Division of Epidemiology, Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY 14642, USA
- Department of Psychiatry, Oregon Health & Science University, Portland, OR 97239, USA
| | - John J. Foxe
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, The Ernest J. Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
| | - Edwin van Wijngaarden
- Division of Epidemiology, Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY 14642, USA
| | | | - Edward G. Freedman
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, The Ernest J. Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
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Compagne C, Mayer JT, Gabriel D, Comte A, Magnin E, Bennabi D, Tannou T. Adaptations of the balloon analog risk task for neuroimaging settings: a systematic review. Front Neurosci 2023; 17:1237734. [PMID: 37790591 PMCID: PMC10544912 DOI: 10.3389/fnins.2023.1237734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 08/16/2023] [Indexed: 10/05/2023] Open
Abstract
Introduction The Balloon Analog Risk Task (BART), a computerized behavioral paradigm, is one of the most common tools used to assess the risk-taking propensity of an individual. Since its initial behavioral version, the BART has been adapted to neuroimaging technique to explore brain networks of risk-taking behavior. However, while there are a variety of paradigms adapted to neuroimaging to date, no consensus has been reached on the best paradigm with the appropriate parameters to study the brain during risk-taking assessed by the BART. In this review of the literature, we aimed to identify the most appropriate BART parameters to adapt the initial paradigm to neuroimaging and increase the reliability of this tool. Methods A systematic review focused on the BART versions adapted to neuroimaging was performed in accordance with PRISMA guidelines. Results A total of 105 articles with 6,879 subjects identified from the PubMed database met the inclusion criteria. The BART was adapted in four neuroimaging techniques, mostly in functional magnetic resonance imaging or electroencephalography settings. Discussion First, to adapt the BART to neuroimaging, a delay was included between each trial, the total number of inflations was reduced between 12 and 30 pumps, and the number of trials was increased between 80 and 100 balloons, enabling us to respect the recording constraints of neuroimaging. Second, explicit feedback about the balloon burst limited the decisions under ambiguity associated with the first trials. Third, employing an outcome index that provides more informative measures than the standard average pump score, along with a model incorporating an exponential monotonic increase in explosion probability and a maximum explosion probability between 50 and 75%, can yield a reliable estimation of risk profile. Additionally, enhancing participant motivation can be achieved by increasing the reward in line with the risk level and implementing payment based on their performance in the BART. Although there is no universal adaptation of the BART to neuroimaging, and depending on the objectives of a study, an adjustment of parameters optimizes its evaluation and clinical utility in assessing risk-taking.
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Affiliation(s)
- Charline Compagne
- UR LINC, Université de Franche-Comté, Besançon, France
- CIC-1431 INSERM, Centre Hospitalier Universitaire, Besançon, France
| | - Juliana Teti Mayer
- UR LINC, Université de Franche-Comté, Besançon, France
- Centre Département de Psychiatrie de l’Adulte, Centre Hospitalier Universitaire, Besançon, France
| | - Damien Gabriel
- UR LINC, Université de Franche-Comté, Besançon, France
- CIC-1431 INSERM, Centre Hospitalier Universitaire, Besançon, France
- Plateforme de Neuroimagerie Fonctionnelle Neuraxess, Besançon, France
| | - Alexandre Comte
- UR LINC, Université de Franche-Comté, Besançon, France
- Centre Département de Psychiatrie de l’Adulte, Centre Hospitalier Universitaire, Besançon, France
| | - Eloi Magnin
- UR LINC, Université de Franche-Comté, Besançon, France
- CHU Département de Neurologie, Centre Hospitalier Universitaire, Besançon, France
| | - Djamila Bennabi
- UR LINC, Université de Franche-Comté, Besançon, France
- Centre Département de Psychiatrie de l’Adulte, Centre Hospitalier Universitaire, Besançon, France
- Centre Expert Dépression Résistante Fondamentale, Centre Hospitalier Universitaire, Besançon, France
| | - Thomas Tannou
- UR LINC, Université de Franche-Comté, Besançon, France
- Plateforme de Neuroimagerie Fonctionnelle Neuraxess, Besançon, France
- CIUSS Centre-Sud de l’Ile de Montréal, Centre de Recherche de l’Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada
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Müller SM, Antons S, Wegmann E, Ioannidis K, King DL, Potenza MN, Chamberlain SR, Brand M. A systematic review and meta-analysis of risky decision-making in specific domains of problematic use of the internet: Evidence across different decision-making tasks. Neurosci Biobehav Rev 2023; 152:105271. [PMID: 37277009 DOI: 10.1016/j.neubiorev.2023.105271] [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: 03/22/2023] [Revised: 06/01/2023] [Accepted: 06/02/2023] [Indexed: 06/07/2023]
Abstract
This systematic review summarizes empirical evidence on risky decision-making (objective risk and ambiguity) in specific domains of problematic use of the internet (PUI) focusing on online addictive behaviors. We conducted a pre-registered (PROSPERO: CRD42020188452) PubMed search for PUI domains: gaming, social-network use, online buying-shopping, online pornography use, and unspecified PUI. We used the Newcastle-Ottawa Scale for quality assessment. Relevant studies were identified only for gaming (n = 19), social-network use (n = 8), unspecified PUI (n = 7), and online gambling (n = 1). The meta-analyses included 25 studies (2498 participants) comparing PUI and control groups regarding decision-making performance under objective risk and ambiguity. Across PUI domains, individuals with PUI compared to control participants showed more disadvantageous decision-making in measures of objective risk (g = -0.42 [-0.69, -0.16], p = .002) but not ambiguity (g = -0.22 [-0.47, -0.04], p = .096). PUI domain and gender were significant moderators. In the risk domain, effects were particularly present in gaming disorder, especially in exclusively male samples. Overall, the paucity of empirical studies in the considered area necessitates further research to identify probable gender- and disorder-specific cognitive relationships.
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Affiliation(s)
- Silke M Müller
- Department of 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
- Department of 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
| | - Elisa Wegmann
- Department of General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, Duisburg, Germany
| | - Konstantinos Ioannidis
- Department of Psychiatry, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, UK; Southern Health NHS Foundation Trust, Cambridge, UK
| | - Daniel L King
- College of Education, Psychology, & Social Work, Flinders University, Adelaide, Australia
| | - Marc N Potenza
- Departments of Psychiatry and Child Study Center, Yale School of Medicine, New Haven, CT, USA; Connecticut Council on Problem Gambling, Wethersfield, CT, USA; Connecticut Mental Health Center, New Haven, CT, USA; Departments of Neuroscience and the Wu Tsai Institute, New Haven, CT, USA
| | - Samuel R Chamberlain
- Department of Psychiatry, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, UK; Southern Health NHS Foundation Trust, Cambridge, UK
| | - Matthias Brand
- Department of 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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Khor E, McNamara N, Columb D, McNicholas F. Neuroimaging findings in adolescent gaming disorder: a systematic review. Ir J Psychol Med 2023:1-13. [PMID: 37496266 DOI: 10.1017/ipm.2023.36] [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] [Indexed: 07/28/2023]
Abstract
OBJECTIVES Gaming disorder is a growing concern affecting adolescents, exacerbated by the impact of recent COVID-19 restrictions. The World Health Organization has recently included gaming disorder in the 11th International Classification of Diseases (ICD-11). However, there is still an ongoing debate about the validity and reliability of the proposed clinical criteria, despite growing neurobiological evidence in this cohort. Systematic reviews in this area have focused mainly on adults or mixed adult/adolescent populations. Therefore, this systematic review explored the neuroimaging literature in adolescents (under 18 years old) with gaming disorder. METHODS Using PRISMA 2020 guidelines, 3288 primary studies were identified from PubMed, CINAHL Plus, PsycINFO and Web of Science. After applying inclusion and exclusion criteria (appropriate title, abstract, comparison group used within study, English-language, neuroimaging and mean age under 18), 24 studies were included in this review. RESULTS Functional and structural brain alterations in adolescent gaming disorder were noted across several imaging modalities, including electroencephalogram (EEG), functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging (MRI). Compared with healthy controls, adolescents with gaming disorder demonstrated neurological changes comparable to substance addiction, namely impairments in emotional regulation, reward-seeking, inhibition and increased risky decision-making. Positive brain adaptations in the areas of visuospatial processing and memory were observed. CONCLUSIONS A number of key brain regions are affected in adolescent gaming disorder. These findings can help clinicians understand adolescent presentations with gaming disorder from a neurobiological perspective. Future studies should focus on forming a robust neurobiological and clinical framework for adolescent gaming disorder.
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Affiliation(s)
- E Khor
- University College Dublin, Belfield, Dublin 4, Ireland
| | - N McNamara
- Department of Child and Adolescent Psychiatry, St John of God Hospital, Stillorgan, Co Dublin, Ireland
| | - D Columb
- Linn Dara CAMHS North Kildare, Celbridge, Co Kildare, Ireland
| | - F McNicholas
- University College Dublin, Belfield, Dublin 4, Ireland
- Department of Paediatric Liaison Psychiatry, CHI Crumlin, Crumlin, Dublin 12, Ireland
- Lucena CAMHS Rathgar, Orwell Road, Rathgar, Dublin 6, Ireland
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Conceptualisation of Uncertainty in Decision Neuroscience Research: Do We Really Know What Types of Uncertainties The Measured Neural Correlates Relate To? Integr Psychol Behav Sci 2023; 57:88-116. [PMID: 35943682 DOI: 10.1007/s12124-022-09719-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2022] [Indexed: 01/13/2023]
Abstract
In the article "What are neural correlates neural correlates of?" published in the journal BioSocieties, Gabriel Abend points out that neuroscientists cannot avoid philosophical questions concerning the conceptualization and operationalization of social-psychological phenomena they deal with at the physiological level. In this article, we build on Abend's thesis and, through a systematic literature review of decision neuroscience studies, test it with the example of the social-psychological phenomenon of uncertainty in decision making. In this paper, we provide an overview of studies that appropriately attempt to conceptualise uncertainty, and then use these studies to analyse papers looking for neural correlates of uncertainty. Based on a systematic review of studies, we investigate what types of uncertainty authors in the field of decision neuroscience address and define, what criteria they use to distinguish between these types, what problems are associated with their conceptualization, and whether the neural correlates of different types of uncertainty can be accurately identified. The paper concludes that, particularly in the economic context, a collaboration between the natural and social sciences works well, and neuroscience studies use economic conceptualizations of uncertainty that are further developed by sophisticated decision tasks. However, the paper also highlights problematic aspects that obscure the understanding of the phenomena under study. These include the lack of criteria for distinguishing between different types of phenomena, the unclear use of the general concept of uncertainty, and the confusion of phenomena or their erroneous synonymous use.
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Rojas-Jara C, Polanco-Carrasco R, Navarro-Castillo R, Faúndez-Castillo F, Chamorro-Gallardo M. “Game (not) Over”: A Systematic Review of Video Game Disorder in Adolescents. REVISTA COLOMBIANA DE PSICOLOGÍA 2022. [DOI: 10.15446/rcp.v31n2.90741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
This study aims to characterize video game use disorder in adolescents, identifying the particularities of those who present it, its effects at the brain level, related factors, and existing measurement instruments. A systematic review of the scientific publications available in Scopus was carried out, between the period 2014-2018 on video game use disorder in adolescents. Adolescents with this disorder are characterized by being mostly men, spending more time daily and weekly playing than adolescents without this disorder, showing diverse symptoms in the behavioral, affective, and cognitive areas. At brain level, it is referred that in this disorder there is an increase and decrease in the activation of specific areas of the brain. Likewise, the presence of some psychological disorder and impulsivity are considered factors that increase the risk of suffering from it. However, there are protective factors as school commitment and parental supervision, among others.
How to cite: Rojas-Jara, C., Polanco-Carrasco, R., Navarro-Castillo, R., Faúndez-Castillo, F., & Chamorro-Gallardo, M. (2022). “Game (not) Over”: A Systematic Review of Video Game Disorder in Adolescents. Revista Colombiana de Psicología, 31(2), 45-64. https://doi.org/10.15446/rcp.v31n2.90741
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Yao YW, Zhang JT, Fang XY, Liu L, Potenza MN. Reward-related decision-making deficits in internet gaming disorder: a systematic review and meta-analysis. Addiction 2022; 117:19-32. [PMID: 33861888 DOI: 10.1111/add.15518] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 01/22/2021] [Accepted: 04/07/2021] [Indexed: 12/17/2022]
Abstract
AIMS To estimate the aggregated effect sizes of reward-related decision-making deficits in internet gaming disorder (IGD) and to explore potential moderators on the variability of effect sizes across studies. DESIGN Review of peer-reviewed studies comparing reward-related decision-making performance between IGD and control participants identified via PubMed, Web of Science and ProQuest databases. Random-effects modeling was conducted using Hedge's g as the effect size (ES). The effects of decision-making situation, valence, sample type, testing environment, IGD severity and self-reported impulsivity on decision-making differences were examined by moderator analyses. SETTING No restrictions on location. PARTICIPANTS Twenty-four studies (20 independent samples) were included in the meta-analysis, resulting in 604 IGD and 641 control participants and 35 ESs. MEASURES Reward-related decision-making differences between IGD and control groups. FINDINGS The overall ES for decision-making deficits in IGD was small (g = -0.45, P < 0.01). The effects were comparable across risky, ambiguous and inter-temporal decision-making. Larger aggregate ESs were identified for pure-gain and mixed compared with pure-loss decision-making. Studies based on clinical and community samples showed similar effects. No significant difference between behavioral studies and those with extra measurements was observed. Decision-making alterations were not closely associated with IGD severity or self-reported impulsivity differences at the study level. CONCLUSIONS Internet gaming disorder appears to be consistently associated with reward-related decision-making deficits.
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Affiliation(s)
- Yuan-Wei Yao
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.,Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Germany.,Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - 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
| | - Xiao-Yi Fang
- Institute of Developmental Psychology, Beijing Normal University, Beijing, China
| | - Lu Liu
- Department of Decision Neuroscience and Nutrition, German Institute of Human Nutrition (DIfE), Nuthetal, Germany
| | - 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, New Haven, CT, USA.,Connecticut Mental Health Center, New Haven, CT, USA.,Council on Problem Gambling, Wethersfield, CT, USA
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Zhou W, Wang Y, Wang M, Wang Z, Zheng H, Wang M, Potenza MN, Dong G. Connectome-based prediction of craving for gaming in internet gaming disorder. Addict Biol 2022; 27:e13076. [PMID: 34176197 DOI: 10.1111/adb.13076] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 06/15/2021] [Accepted: 06/18/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND Craving-related brain responses have been associated with the emergence and maintenance of addictions. However, little is known about brain network organizations underlying cravings in internet gaming disorder (IGD). METHODS Sixty-six IGD subjects and 61 matched individuals with recreational game use (RGU) were scanned while performing a cue-craving task. A recently developed whole-brain analysis approach, connectome-based predictive modelling (CPM) with leave-one-out cross-validation was conducted to identify networks that predicted craving responses in IGD. Then, the craving network was tested in different brain states (cue-craving under deprivation) to investigate replicability. RESULTS CPM identified an IGD craving network, as indicated by a significant correspondence between predicted and actual craving values (r = 0.49, p < 0.001), characterized by within-network default mode (DMN) connectivity and connectivity between canonical networks implicated in executive/cognitive control (frontoparietal, medial frontal, DMN) and reward responsiveness (subcortical, motor/sensory). Network strength in the cue-craving task during gaming deprivation also predicted IGD craving scores (r = 0.43, p = 0.017), indicating network replication across brain states. CONCLUSIONS The CPM results demonstrate that individual differences in cognitive, attention, and control network function can predict craving intensities in IGD subjects. These networks may be targets for potential interventions using brain modulation.
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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 China
- Institutes of Psychological Sciences Hangzhou Normal University Hangzhou Zhejiang Province China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou Zhejiang Province China
- College of Education Hangzhou Normal University Hangzhou Zhejiang Province China
| | - Yi‐ming Wang
- College of Education Hangzhou Normal University Hangzhou Zhejiang Province China
| | - Min Wang
- Center for Cognition and Brain Disorders The Affiliated Hospital of Hangzhou Normal University Hangzhou Zhejiang Province China
- Institutes of Psychological Sciences Hangzhou Normal University Hangzhou Zhejiang Province China
| | - Zi‐liang Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center Shanghai Jiaotong University School of Medicine Shanghai China
| | - Meng‐jing Wang
- Southeast University ‐ Monash University Joint Graduate School Southeast University Nanjing China
| | - Marc N. Potenza
- Department of Psychiatry and the Child Study Center Yale University School of Medicine New Haven Connecticut USA
- Department of Neuroscience Yale University New Haven Connecticut USA
- Connecticut Council on Problem Gambling Wethersfield Connecticut USA
- Connecticut Mental Health Center New Haven Connecticut USA
| | - Guang‐Heng Dong
- Center for Cognition and Brain Disorders The Affiliated Hospital of Hangzhou Normal University Hangzhou Zhejiang Province China
- Institutes of Psychological Sciences Hangzhou Normal University Hangzhou Zhejiang Province China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou Zhejiang Province China
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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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10
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Zou L, Wu X, Tao S, Yang Y, Zhang Q, Hong X, Xie Y, Li T, Zheng S, Tao F. Anterior cingulate gyrus acts as a moderator of the relationship between problematic mobile phone use and depressive symptoms in college students. Soc Cogn Affect Neurosci 2021; 16:484-491. [PMID: 33522589 PMCID: PMC8094992 DOI: 10.1093/scan/nsab016] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/08/2020] [Accepted: 01/29/2021] [Indexed: 11/20/2022] Open
Abstract
This study aimed to investigate the brain grey matter volume (GMV) related to problematic mobile phone use (PMPU), and whether these regions of GMV play a potential moderating role in the relationship between PMPU and depressive symptoms. We recruited 266 students who underwent magnetic resonance imaging (MRI) scanning. PMPU and depressive symptoms were assessed by a self-rating questionnaire for adolescent PMPU and patient health questionnaire-9, respectively. A multiple regression model was performed to detect GMV and white matter (WM) integrity associated with PMPU by voxel-based morphometry (VBM) and tract-based spatial statistics (TBSS) methods, and the moderating analysis was conducted by PROCESS using SPSS software. VBM analysis found an inverse correlation between the GMV of the anterior cingulate gyrus (ACC) and right fusiform gyrus (FFG) with PMPU (PFDR < 0.05), and TBSS analysis revealed that fractional anisotropy (FA) in the body of the corpus callosum was negatively correlated with PMPU. The correlation between PMPU and depressive symptoms was moderated by the GMV of the ACC. These results suggest that the GMV of the ACC and right FFG, as well as FA in the body of the corpus callosum, was related to PMPU, and we further found that increased GMV of the ACC could reduce the relationship between PMPU and depressive symptoms in college students.
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Affiliation(s)
- Liwei Zou
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China.,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, Anhui 230032, China.,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, Anhui 230032, China
| | - Xiaoyan Wu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China.,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, Anhui 230032, China.,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, Anhui 230032, China.,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui 230032, China
| | - Shuman Tao
- Department of Nephrology, The Second Hospital of Anhui Medical University, Hefei, Anhui 230601, China
| | - Yajuan Yang
- School of Nursing, Anhui Medical University, Hefei, Anhui 230601, China
| | - Qingjun Zhang
- Ping An Healthcare Diagnostics Center, Hefei, Anhui 230000, China
| | - Xuedong Hong
- Ping An Healthcare Diagnostics Center, Hefei, Anhui 230000, China
| | - Yang Xie
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China.,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, Anhui 230032, China.,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, Anhui 230032, China
| | - Tingting Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China.,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, Anhui 230032, China.,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, Anhui 230032, China
| | - Suisheng Zheng
- Ping An Healthcare Diagnostics Center, Hefei, Anhui 230000, China
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China.,MOE Key Laboratory of Population Health Across Life Cycle, Hefei, Anhui 230032, China.,Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, Anhui 230032, China.,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, Anhui 230032, China
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11
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Weinstein A, Lejoyeux M. Neurobiological mechanisms underlying internet gaming disorder
. DIALOGUES IN CLINICAL NEUROSCIENCE 2021; 22:113-126. [PMID: 32699511 PMCID: PMC7366941 DOI: 10.31887/dcns.2020.22.2/aweinstein] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
This review summarizes studies on the neurobiological correlates of internet gaming disorder (IGD), presently the most direct approach to analyzing the impact of digital technology and the internet on brain mechanisms. Brain imaging studies have shown that IGD shares, to a large extent, neurobiological alterations that are typical for other addictions, such as: (i) activation in brain regions associated with reward, as evident from cue exposure and craving studies and neurotransmitter systems studies that indicate an involvement of dopamine-mediated reward mechanisms; (ii) reduced activity in impulse control areas and impaired decision making; and (iii) reduced functional connectivity in brain networks that are involved in cognitive control, executive function, motivation, and reward. Moreover, there are structural changes, mainly reduction in gray-matter volume and white-matter density. Comorbidity studies indicate that executive control networks in attention deficit-hyperactivity disorder (ADHD) may increase the susceptibility to develop IGD. Most importantly, this review also outlines findings that show the effects of excessive use of screens, here referring to the playing of computer games, which activate many brain regions associated with cognitive, motor, and sensory function and not directly involved in other forms of addiction. This review describes and summarizes comprehensively the neurobiological correlates of addictive internet use in adolescents and young adults.
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Affiliation(s)
- Aviv Weinstein
- Department of Behavioral Science, Ariel University, Ariel, Israel
| | - Michel Lejoyeux
- Department of Psychiatry and Addictive Medicine, Maison Blanche Hospital and Bichat-Claude Bernard Hospital, AP-HP, Paris Diderot University, Paris, France
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12
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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: 38] [Impact Index Per Article: 9.5] [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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13
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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: 24] [Impact Index Per Article: 6.0] [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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14
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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] [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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15
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Zhang J, Hu Y, Wang Z, Wang M, Dong GH. Males are more sensitive to reward and less sensitive to loss than females among people with internet gaming disorder: fMRI evidence from a card-guessing task. BMC Psychiatry 2020; 20:357. [PMID: 32635911 PMCID: PMC7341652 DOI: 10.1186/s12888-020-02771-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 06/29/2020] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND Many studies have found an interesting issue in the Internet gaming disorder (IGD): males are always observed to be the majority. However, there are little research to exploring the differences in the neural mechanisms between males and females in decision-making process among people with IGD. Therefore, explore the reward/loss processing between different gender with IGD could help in understanding the underlying neural mechanism of IGD. METHODS Data from functional magnetic resonance imaging (fMRI) were collected from 111 subjects (IGD: 29 males, 25 females; recreational internet game user (RGU): 36 males, 21 females) while they were performing a card-guessing task. We collected and compared their brain features when facing the win and loss conditions in different groups. RESULTS For winning conditions, IGD group showed hypoactivity in the lingual gyrus than RGU group, male players showed hyperactivity in the left caudate nucleus, bilateral cingulate gyrus, right middle frontal gyrus (MFG), right precuneus and inferior parietal lobule relative to the females. And significant sex-by-group interactions results showed higher brain activities in the thalamus, parahippocampal gyrus and lower brain activities in Inferior frontal gyrus (IFG) were observed in males with IGD than females. For losing conditions, IGD group showed hypoactivity in the left lingual gyrus, parahippocampal gyrus and right anterior cingulate cortex (ACC) compared to the RGU group, male players showed hyperactive left caudate nucleus and hypoactive right middle occipital gyrus relative to females. And significant sex-by-group interactions results showed that compared to females with IGD, males with IGD showed decreased brain activities in the IFG and lingual gyrus. CONCLUSIONS First, there appeared to be no difference in reward processing between the IGD and RGU group, but IGD showed less sensitivity to loss. Secondly, male players showed more sensitivity to rewards and less sensitivity to losses. Last but not least, males and females showed opposite activation patterns in IGD degree and rewards/losses processing. And male IGD subjects are more sensitive to reward and less sensitive to loss than females, which might be the reason for the gender different rates on IGD.
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Affiliation(s)
- Jialin Zhang
- Center for Cognition and Brain Disorders, Institute of Psychological Research, Hangzhou Normal University, Hangzhou, 311121, Zhejiang Province, China
| | - Yan Hu
- Department of Creative Technologies, Blekinge Institute of Technology, SE-371 79, Karlskrona, Sweden
| | - Ziliang Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing, China
| | - Min Wang
- Center for Cognition and Brain Disorders, Institute of Psychological Research, Hangzhou Normal University, Hangzhou, 311121, Zhejiang Province, China
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, Institute of Psychological Research, Hangzhou Normal University, Hangzhou, 311121, Zhejiang Province, China.
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China.
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16
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Yao YW, Liu L, Worhunsky PD, Lichenstein S, Ma SS, Zhu L, Shi XH, Yang S, Zhang JT, Yip SW. Is monetary reward processing altered in drug-naïve youth with a behavioral addiction? Findings from internet gaming disorder. Neuroimage Clin 2020; 26:102202. [PMID: 32045732 PMCID: PMC7013339 DOI: 10.1016/j.nicl.2020.102202] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 12/16/2019] [Accepted: 02/02/2020] [Indexed: 12/21/2022]
Abstract
Current models of addiction biology highlight altered neural responses to non-drug rewards as a central feature of addiction. However, given that drugs of abuse can directly impact reward-related dopamine circuitry, it is difficult to determine the extent to which reward processing alterations are a trait feature of individuals with addictions, or primarily a consequence of exogenous drug exposure. Examining individuals with behavioral addictions is one promising approach for disentangling neural features of addiction from the direct effects of substance exposure. The current fMRI study compared neural responses during monetary reward processing between drug naïve young adults with a behavioral addiction, internet gaming disorder (IGD; n = 22), and healthy controls (n = 27) using a monetary incentive delay task. Relative to controls, individuals with IGD exhibited blunted caudate activity associated with loss magnitude at the outcome stage, but did not differ from controls in neural activity at other stages. These findings suggest that decreased loss sensitivity might be a critical feature of IGD, whereas alterations in gain processing may be less characteristic of individuals with IGD, relative to those with substance use disorders. Therefore, classic theories of altered reward processing in substance use disorders should be translated to behavioral addictions with caution.
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Affiliation(s)
- Yuan-Wei Yao
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Xinjiekouwai Street No.19, Beijing 100875, China; Department of Education and Psychology, Freie Universität Berlin, Berlin 14195, Germany; Einstein Center for Neurosciences Berlin, Charité - Universitätsmedizin Berlin, Berlin 10117, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin 10117, Germany
| | - Lu Liu
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal 14558, Germany
| | | | - Sarah Lichenstein
- Radiology and Biomedical Engineering, Yale School of Medicine, New Haven, CT 06519, USA
| | - Shan-Shan Ma
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Xinjiekouwai Street No.19, Beijing 100875, China; Institute of Developmental Psychology, Beijing Normal University, Beijing 100875, China
| | - Lei Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Xinjiekouwai Street No.19, Beijing 100875, China
| | - Xin-Hui Shi
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Xinjiekouwai Street No.19, Beijing 100875, China
| | - Songshan Yang
- Department of Statistics, Pennsylvania State University, University Park, PA 16802, USA
| | - Jin-Tao Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Xinjiekouwai Street No.19, Beijing 100875, China.
| | - Sarah W Yip
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06519, USA; Child Study Center, Yale School of Medicine, New Haven, CT 06519, USA
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17
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Dong GH, Wang M, Zhang J, Du X, Potenza MN. Functional neural changes and altered cortical-subcortical connectivity associated with recovery from Internet gaming disorder. J Behav Addict 2019; 8:692-702. [PMID: 31891311 PMCID: PMC7044574 DOI: 10.1556/2006.8.2019.75] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND AND AIMS Although studies have suggested that individuals with Internet gaming disorder (IGD) may have impairments in cognitive functioning, the nature of the relationship is unclear given that the information is typically derived from cross-sectional studies. METHODS Individuals with active IGD (n = 154) and those individuals no longer meeting criteria (n = 29) after 1 year were examined longitudinally using functional magnetic resonance imaging during performance of cue-craving tasks. Subjective responses and neural correlates were contrasted at study onset and at 1 year. RESULTS Subjects' craving responses to gaming cues decreased significantly at 1 year relative to study onset. Decreased brain responses in the anterior cingulate cortex (ACC) and lentiform nucleus were observed at 1 year relative to onset. Significant positive correlations were observed between changes in brain activities in the lentiform nucleus and changes in self-reported cravings. Dynamic causal modeling analysis showed increased ACC-lentiform connectivity at 1 year relative to study onset. CONCLUSIONS After recovery from IGD, individuals appear less sensitive to gaming cues. This recovery may involve increased ACC-related control over lentiform-related motivations in the control over cravings. The extent to which cortical control over subcortical motivations may be targeted in treatments for IGD should be examined further.
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Affiliation(s)
- Guang-Heng Dong
- Center for Cognition and Brain Disorder, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China,Zhejiang Key Laboratory for Assessment of Cognitive Impairments, Hangzhou, China,Corresponding authors: Guang-Heng Dong, PhD; Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, 2318 Yuhangtang Road, Hangzhou, Zhejiang Province 311121, China; Phone: +86 158 6794 9909; Fax: +86 571 2886 7717; E-mail: ; Marc N. Potenza, PhD, MD; Department of Psychiatry, Yale University School of Medicine, 1 Church Street, New Haven 06511, CT, USA; Phone: +1 203 737 3553; Fax: +1 203 737 3591; E-mail:
| | - Min Wang
- Center for Cognition and Brain Disorder, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Jialin Zhang
- Department of Psychology, Zhejiang Normal University, Jinhua, China
| | - Xiaoxia Du
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Marc N. Potenza
- Department of Psychiatry, Department of Neurobiology, and Child Study Center, Yale University School of Medicine, New Haven, CT, USA,The Connecticut Council on Problem Gambling, Wethersfield, CT, USA,The Connecticut Mental Health Center, New Haven, CT, USA,Corresponding authors: Guang-Heng Dong, PhD; Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, 2318 Yuhangtang Road, Hangzhou, Zhejiang Province 311121, China; Phone: +86 158 6794 9909; Fax: +86 571 2886 7717; E-mail: ; Marc N. Potenza, PhD, MD; Department of Psychiatry, Yale University School of Medicine, 1 Church Street, New Haven 06511, CT, USA; Phone: +1 203 737 3553; Fax: +1 203 737 3591; E-mail:
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18
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Zheng H, Hu Y, Wang Z, Wang M, Du X, Dong G. Meta-analyses of the functional neural alterations in subjects with Internet gaming disorder: Similarities and differences across different paradigms. Prog Neuropsychopharmacol Biol Psychiatry 2019; 94:109656. [PMID: 31145927 DOI: 10.1016/j.pnpbp.2019.109656] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 04/18/2019] [Accepted: 05/21/2019] [Indexed: 02/06/2023]
Abstract
Internet gaming disorder (IGD) has become a global public health concern due to its increasing prevalence and potential negative consequences. Researchers have sought to identify which brain regions are associated with this disorder. However, inconsistent results have been reported among studies due to the heterogeneity of paradigms and subjects. The present research aimed to combine the results of individual studies to provide a more coherent and powerful explanation. By selecting 40 studies utilizing a qualified whole-brain analysis, we performed a comprehensive series of meta-analyses that employed seed-based d mapping. We divided the existing experimental paradigms into 3 categories: game-related cue-reactivity, executive control, and risk-reward-related decision-making tasks. We divided all studies into three subgroups according to their paradigms. In cue-reactivity tasks, patients with IGD exhibited significant hyperactivation in the bilateral precuneus and bilateral cingulate and significant hypoactivation in the insula, but there were no differences in the striatum. In executive control tasks, patients with IGD displayed significant hyperactivation in the right superior temporal gyrus, bilateral precuneus, bilateral cingulate, and insula and hypoactivation in the left inferior frontal gyrus. In risky decision-making paradigms, IGD patients exhibited significant hyperactivation in the left striatum, right inferior frontal gyrus, and insula and hypoactivation in the left superior frontal gyrus, left inferior frontal gyrus, and right precentral gyrus. Our study aimed to discover the similarities among all studies and to explore the uniqueness of the different paradigms. This study further confirmed the critical role of reward circuitry and executive control circuitry in IGD but not under all conditions.
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Affiliation(s)
- Hui Zheng
- Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, PR China; Shanghai Key Laboratory of Psychotic disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, PR China
| | - Yanbo Hu
- Department of Psychology, London Metropolitan University, London N7 8DB, UK
| | - Ziliang Wang
- School of Psychology, Beijing Normal University, Beijing 10010, PR China
| | - Min Wang
- Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, PR China
| | - Xiaoxia Du
- Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, PR China
| | - Guangheng Dong
- Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, PR China; Zhejiang Key Laboratory for Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China.
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19
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Zha R, Bu J, Wei Z, Han L, Zhang P, Ren J, Li JA, Wang Y, Yang L, Vollstädt-Klein S, Zhang X. Transforming brain signals related to value evaluation and self-control into behavioral choices. Hum Brain Mapp 2018; 40:1049-1061. [PMID: 30593684 DOI: 10.1002/hbm.24379] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 07/23/2018] [Accepted: 08/22/2018] [Indexed: 12/19/2022] Open
Abstract
The processes involved in value evaluation and self-control are critical when making behavioral choices. However, the evidence linking these two types of processes to behavioral choices in intertemporal decision-making remains elusive. As the ventromedial prefrontal cortex (vmPFC), striatum, and dorsolateral prefrontal cortex (dlPFC) have been associated with these two processes, we focused on these three regions. We employed functional magnetic resonance imaging during a delayed discounting task (DDT) using a relatively large sample size, three independent samples. We evaluated how much information about a specific choice could be decoded from local patterns in each brain area using multivoxel pattern analysis (MVPA). To investigate the relationship between the dlPFC and vmPFC/striatum regions, we performed a psychophysiological interaction (PPI) analysis. In Experiment I, we found that the vmPFC and dlPFC, but not the striatum, could determine choices in healthy participants. Furthermore, we found that the dlPFC showed significant functional connectivity with the vmPFC, but not the striatum, when making decisions. These results could be replicated in Experiment II with an independent sample of healthy participants. In Experiment III, the choice-decoding accuracy in the vmPFC and dlPFC was lower in patients with addiction (smokers and participants with Internet gaming disorder) than in healthy participants, and decoding accuracy in the dlPFC was related to impulsivity in addicts. Taken together, our findings may provide neural evidence supporting the hypothesis that value evaluation and self-control processes both guide the intertemporal choices, and might provide potential neural targets for the diagnosis and treatment of impulsivity-related brain disorders.
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Affiliation(s)
- Rujing Zha
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China
| | - Junjie Bu
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China
| | - Zhengde Wei
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Long Han
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China
| | - Pengyu Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China
| | - Jiecheng Ren
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China
| | - Ji-An Li
- Department of Statistics and Finance, School of Management, University of Science & Technology of China, Hefei, Anhui 230027, China
| | - Ying Wang
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China.,Provincial institute of stereotactic neurosurgery.,First affiliated hospital of the University of Science and Technology of China
| | - Lizhuang Yang
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China.,Center of Medical Physics and Technology, and AnHui Province Key Laboratory of Medical Physics and Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, Anhui, China
| | - Sabine Vollstädt-Klein
- Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim / Heidelberg University, Square J5, D-68159 Mannheim, Germany
| | - Xiaochu Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, University of Science & Technology of China, Hefei, China.,School of Humanities and Social Science, University of Science and Technology of China, Hefei, Anhui, China.,Hefei Medical Research Center on Alcohol Addiction, Anhui Mental Health Center, Hefei, Anhui, China.,Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China
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Yao YW, Liu L, Ma SS, Shi XH, Zhou N, Zhang JT, Potenza MN. Functional and structural neural alterations in Internet gaming disorder: A systematic review and meta-analysis. Neurosci Biobehav Rev 2017; 83:313-324. [PMID: 29102686 DOI: 10.1016/j.neubiorev.2017.10.029] [Citation(s) in RCA: 119] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 10/06/2017] [Accepted: 10/29/2017] [Indexed: 12/29/2022]
Affiliation(s)
- Yuan-Wei Yao
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Lu Liu
- Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, 100875, China
| | - Shan-Shan Ma
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Xin-Hui Shi
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Nan Zhou
- Institute of Developmental Psychology, Faculty of Psychology, 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, 100875, China.
| | - Marc N Potenza
- Departments of Psychiatry and Neuroscience and the Child Study Center, Yale University School of Medicine, New Haven, CT, 06519, USA; Connecticut Mental Health Center, New Haven, CT, 06519, USA
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Weinstein AM. An Update Overview on Brain Imaging Studies of Internet Gaming Disorder. Front Psychiatry 2017; 8:185. [PMID: 29033857 PMCID: PMC5626837 DOI: 10.3389/fpsyt.2017.00185] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Accepted: 09/12/2017] [Indexed: 12/31/2022] Open
Abstract
There are a growing number of studies on structural and functional brain mechanisms underlying Internet gaming disorder (IGD). Recent functional magnetic resonance imaging studies showed that IGD adolescents and adults had reduced gray matter volume in regions associated with attention motor coordination executive function and perception. Adolescents with IGD showed lower white matter (WM) integrity measures in several brain regions that are involved in decision-making, behavioral inhibition, and emotional regulation. IGD adolescents had also disruption in the functional connectivity in areas responsible for learning memory and executive function, processing of auditory, visual, and somatosensory stimuli and relay of sensory and motor signals. IGD adolescents also had decreased functional connectivity of PFC-striatal circuits, increased risk-taking choices, and impaired ability to control their impulses similar to other impulse control disorders. Recent studies indicated that altered executive control mechanisms in attention deficit hyperactivity disorder (ADHD) would be a predisposition for developing IGD. Finally, patients with IGD have also shown an increased functional connectivity of several executive control brain regions that may related to comorbidity with ADHD and depression. The behavioral addiction model argues that IGD shows the features of excessive use despite adverse consequences, withdrawal phenomena, and tolerance that characterize substance use disorders. The evidence supports the behavioral addiction model of IGD by showing structural and functional changes in the mechanisms of reward and craving (but not withdrawal) in IGD. Future studies need to investigate WM density and functional connectivity in IGD in order to validate these findings. Furthermore, more research is required about the similarity in neurochemical and neurocognitive brain circuits in IGD and comorbid conditions such as ADHD and depression.
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Affiliation(s)
- Aviv M Weinstein
- Department of Behavioral Science, Ariel University, Ariel, Israel
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Wei L, Zhang S, Turel O, Bechara A, He Q. A Tripartite Neurocognitive Model of Internet Gaming Disorder. Front Psychiatry 2017; 8:285. [PMID: 29312016 PMCID: PMC5735083 DOI: 10.3389/fpsyt.2017.00285] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 12/01/2017] [Indexed: 01/30/2023] Open
Abstract
Playing Internet games has emerged as a growing in prevalence leisure activity. In some cases, excess gaming can lead to addiction-like symptoms and aversive outcomes that may be seen by some as manifestations of a behavioral addiction. Even though agreement regarding the pathologizing of excessive video gaming is not yet achieved and perhaps because the field requires more research, many works have examined the antecedents and outcomes of what is termed internet gaming disorder (IGD). In this article, we aim at summarizing perspectives and findings related to the neurocognitive processes that may underlie IGD and map such findings onto the triadic-system that governs behavior and decision-making, the deficits in which have been shown to be associated with many addictive disorders. This tripartite system model includes the following three brain systems: (1) the impulsive system, which often mediates fast, automatic, unconscious, and habitual behaviors; (2) the reflective system, which mediates deliberating, planning, predicting future outcomes of selected behaviors, and exerting inhibitory control; and (3) the interoceptive awareness system, which generates a state of craving through the translation of somatic signals into a subjective state of drive. We suggest that IGD formation and maintenance can be associated with (1) a hyperactive "impulsive" system; (2) a hypoactive "reflective" system, as exacerbated by (3) an interoceptive awareness system that potentiates the activity of the impulsive system, and/or hijacks the goal-driven cognitive resources needed for the normal operation of the reflective system. Based on this review, we propose ways to improve the therapy and treatment of IGD and reduce the risk of relapse among recovering IGD populations.
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Affiliation(s)
- Lei Wei
- Faculty of Psychology, Southwest University, Chongqing, China
| | - Shuyue Zhang
- Department of Psychology, Guangxi University, Guangxi, China
| | - Ofir Turel
- College of Business and Economics, California State University, Fullerton, Fullerton, CA, United States.,Department of Psychology, University of Southern California, Los Angeles, CA, United States
| | - Antoine Bechara
- Department of Psychology, University of Southern California, Los Angeles, CA, United States
| | - Qinghua He
- Faculty of Psychology, Southwest University, Chongqing, China.,Department of Psychology, University of Southern California, Los Angeles, CA, United States.,Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Southwest University Branch, Collaborative Innovation Center of Assessment toward Basic Education Quality at Beijing Normal University, Chongqing, China.,Chongqing Collaborative Innovation Center for Brain Science, Chongqing, China
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