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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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Kim JS, Song YW, Kim S, Lee JY, Yoo SY, Jang JH, Choi JS. Resting-state EEG microstate analysis of internet gaming disorder and alcohol use disorder. DIALOGUES IN CLINICAL NEUROSCIENCE 2024; 26:89-102. [PMID: 39601360 DOI: 10.1080/19585969.2024.2432913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 11/09/2024] [Accepted: 11/17/2024] [Indexed: 11/29/2024]
Abstract
INTRODUCTION To investigate the neurophysiological aspects of addiction, the microstate characteristics of internet gaming disorder (IGD), alcohol use disorder (AUD), and healthy control (HC) groups were compared using resting-state electroencephalography (EEG). METHODS In total, 199 young adults (75 patients with IGD, 57 patients with AUD, and 67 HCs) participated in this study. We conducted EEG microstate analysis among the groups and also compared the obtained parameters with the results of psychological assessments. RESULTS The global explained variance, occurrence, and coverage of microstate C were significantly lower in the AUD group than in the IGD group. Additionally, rates of transition from microstates A, B, and D to C were significantly lower in the AUD group than in the IGD group, whereas rates of transition from microstate A to B were lower in the IGD group compared to HCs. Furthermore, the occurrence of microstate C and transition from microstate B to C were negatively correlated with the Alcohol Use Disorder Identification and Behavioural Inhibition Scale score. CONCLUSION There were significant differences in microstate characteristics among the groups, which correlated with the psychological scores. These findings suggest that microstate features can be used as neuromarkers in clinical settings to differentiate between addictive disorders and evaluate the pathophysiology of AUD and IGD.
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Affiliation(s)
- Ji Sun Kim
- Department of Psychiatry, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea
| | - Young Wook Song
- Department of Applied Artificial Intelligence, Hanyang University, Ansan, Republic of Korea
| | - Sungkean Kim
- Department of Applied Artificial Intelligence, Hanyang University, Ansan, Republic of Korea
- Department of Human-Computer Interaction, Hanyang University, Ansan, Republic of Korea
| | - Ji-Yoon Lee
- Department of Health Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Republic of Korea
| | - So Young Yoo
- Department of Psychiatry, Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Joon Hwan Jang
- Department of Psychiatry, Seoul National University Health Service Center, Seoul, Republic of Korea
- Department of Human Systems Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jung-Seok Choi
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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Peng Y, Wu D, Tian M, Zhou Y, Peng X, Peng Z, Gong K, Liu K, Chen J, Lei W. Neurophysiological characteristics of reward processing in individuals at different levels of gaming. Cereb Cortex 2024; 34:bhae436. [PMID: 39505572 DOI: 10.1093/cercor/bhae436] [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: 08/13/2024] [Revised: 10/15/2024] [Accepted: 10/18/2024] [Indexed: 11/08/2024] Open
Abstract
Altered reward processing has been repeatedly reported in Internet gaming disorder (IGD). However, it remains unclear whether these changes are linked to the severity of addictive symptoms or the extent of gaming experience. This study examined the neurophysiological responses regarding reward anticipation and consummation in individuals at different levels of gaming (including 22 casual gamers, 31 regular gamers, and 27 individuals with IGD) through a monetary incentive delay task. Three event-related potential components during reward anticipation-cue-related P300 (Cue-P3), contingent negative variation, and stimulus-preceding negativity (SPN)-and two during reward consummation-feedback-related negativity and feedback-related P300 (FB-P3)-were measured. We found that IGD individuals exhibited greater Cue-P3 but lower SPN amplitude compared to casual gamers, while regular gamers fell between the two without significant differences. Regressions indicated that more extensive gaming experience, rather than the severity of the symptoms, primarily contributed to the increased Cue-P3 in IGD. No group differences were found during reward consummation. Our results highlight disrupted reward anticipation processing in IGD, characterized by increased attention bias toward reward cues (Cue-P3) but diminished cognitive resources for reward anticipation (SPN) and emphasize the role of gaming experience in increased attention bias in IGD.
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Affiliation(s)
- Yanjie Peng
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiang Yang District, 646000 Luzhou, China
- School of Clinical Medicine, Southwest Medical University, 319, Section 3, Zhongshan Road, Jiangyang District 646000, Luzhou, China
| | - DanTong Wu
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiang Yang District, 646000 Luzhou, China
- School of Clinical Medicine, Southwest Medical University, 319, Section 3, Zhongshan Road, Jiangyang District 646000, Luzhou, China
| | - Mingyuan Tian
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiang Yang District, 646000 Luzhou, China
| | - Yanyin Zhou
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiang Yang District, 646000 Luzhou, China
- School of Clinical Medicine, Southwest Medical University, 319, Section 3, Zhongshan Road, Jiangyang District 646000, Luzhou, China
| | - Xiaohong Peng
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiang Yang District, 646000 Luzhou, China
- School of Clinical Medicine, Southwest Medical University, 319, Section 3, Zhongshan Road, Jiangyang District 646000, Luzhou, China
| | - Zhenlei Peng
- Xinjiang Clinical Research Center for Mental (Psychological) Disorders, The Psychological Medicine Center, The First Affiliated Hospital of Xinjiang Medical University, 137, Liyushan South Road, Xinshi District, Urumqi, 830054 Xinjiang, China
| | - Ke Gong
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiang Yang District, 646000 Luzhou, China
- School of Clinical Medicine, Southwest Medical University, 319, Section 3, Zhongshan Road, Jiangyang District 646000, Luzhou, China
| | - Kezhi Liu
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiang Yang District, 646000 Luzhou, China
| | - Jing Chen
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiang Yang District, 646000 Luzhou, China
- School of Clinical Medicine, Southwest Medical University, 319, Section 3, Zhongshan Road, Jiangyang District 646000, Luzhou, China
- Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiang Yang District, 646000 Luzhou, China
| | - Wei Lei
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiang Yang District, 646000 Luzhou, China
- School of Clinical Medicine, Southwest Medical University, 319, Section 3, Zhongshan Road, Jiangyang District 646000, Luzhou, China
- Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiang Yang District, 646000 Luzhou, China
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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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Marin MG, Machado ABC, da Silva Freitas G, de Almeida RMM. Internet addiction, sleeping habits and psychological distress in Brazilian adolescents and young adults. PSICOLOGIA-REFLEXAO E CRITICA 2024; 37:37. [PMID: 39276175 PMCID: PMC11401824 DOI: 10.1186/s41155-024-00323-0] [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: 05/27/2024] [Accepted: 09/04/2024] [Indexed: 09/16/2024] Open
Abstract
BACKGROUND The internet is widespread in modern society and has raised concerns about excessive usage and its consequences for different aging groups. OBJECTIVE This study explores the relationships between internet addiction, sleep patterns, and psychological distress in adolescents and young adults. MATERIALS AND METHODS In order to assess this phenomenon, an exploratory cross-sectional study was conducted in southern Brazil from October to December 2023. A questionnaire, administered via Google Forms, collected data from 618 participants aged 15-36. The participants consisted of a non-probabilistic community sample selected based on convenience criteria. Instruments included a sociodemographic questionnaire, the Internet Addiction Test, Depression, Anxiety, and Stress Scale, and Social Media Engagement Questionnaire. RESULTS It was categorized 48.1% as having moderate internet addiction, and classified 0.8% as having severe internet addiction. Correlation analysis revealed positive associations between internet addiction and depression, anxiety, and stress. Logistic regression identified internet addiction and overall psychological distress as predictors of sleep difficulties, along with unemployment status. The findings highlight the detrimental impact of excessive internet use on sleep quality and mental health. The bidirectional relationship between internet addiction and psychological distress underscores the complex interplay between these variables. CONCLUSIONS This study underscores the urgent need for interventions targeting internet addiction and its associated consequences in adolescents and young adults. Addressing internet addiction levels and promoting healthy internet usage habits are crucial steps in mitigating the adverse effects on mental health and sleep quality. There is a need for targeted interventions, protocols, and preventive measures to mitigate the adverse effects of excessive internet use on mental health and sleep quality. Public health strategies should include IA and its consequences in health programs with multidisciplinary approaches and protocols for treatments for behavioral addictions. The study emphasizes the multifaceted nature of internet addiction and its implications for mental health and sleep patterns.
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Affiliation(s)
- Maísa Gelain Marin
- Programa de Pós-Graduação Em Psicologia, Universidade Federal Do Rio Grande Do Sul (UFRGS), Ramiro Barcelos Street, 2600, Room 216, Bairro Floresta, Porto Alegre, RS, 90035-003, Brazil.
| | - Antônio Bonfada Collares Machado
- Programa de Pós-Graduação Em Psicologia, Universidade Federal Do Rio Grande Do Sul (UFRGS), Ramiro Barcelos Street, 2600, Room 216, Bairro Floresta, Porto Alegre, RS, 90035-003, Brazil
| | - Guilherme da Silva Freitas
- Programa de Pós-Graduação Em Psicologia, Universidade Federal Do Rio Grande Do Sul (UFRGS), Ramiro Barcelos Street, 2600, Room 216, Bairro Floresta, Porto Alegre, RS, 90035-003, Brazil
| | - Rosa Maria Martins de Almeida
- Programa de Pós-Graduação Em Psicologia, Universidade Federal Do Rio Grande Do Sul (UFRGS), Ramiro Barcelos Street, 2600, Room 216, Bairro Floresta, Porto Alegre, RS, 90035-003, Brazil
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Boutoleau-Bretonnière C, Kapogiannis D, El Haj M. The guaranteed euros: Probabilistic discounting in behavioural-variant frontotemporal dementia. J Neuropsychol 2024; 18:239-250. [PMID: 38135907 DOI: 10.1111/jnp.12357] [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: 09/14/2023] [Revised: 12/04/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023]
Abstract
Financial decision-making requires trading off between guaranteed and probabilistic outcomes and between immediate and delayed ones. While research has demonstrated that patients with behavioural-variant frontotemporal dementia (bvFTD) prefer immediate rewards at the expense of future ones (i.e. temporal discounting), little is known about how patients choose between smaller, guaranteed and larger, but probabilistic, outcomes (i.e. probabilistic discounting). We thus investigated probabilistic discounting by inviting 18 patients with bvFTD and 20 control participants to choose between fixed smaller monetary amounts and a fixed larger monetary amount with a variated probability of occurrence (e.g. 'Would you rather have 40€ for sure or a 20% chance of winning 100€?'). Results demonstrated lower scores, indicating higher risk tolerance, on the probabilistic discounting task in patients with bvFTD (while impulsively choosing more immediate rewards on the temporal discounting task) compared to control participants. Probabilistic discounting was significantly correlated with a decline in general cognitive performance in patients with bvFTD. When dealing between smaller, guaranteed, and larger, but probabilistic, rewards, patients with bvFTD tend to prefer guaranteed rewards and discount the uncertain ones.
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Affiliation(s)
| | - Dimitrios Kapogiannis
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, Maryland, USA
| | - Mohamad El Haj
- Clinical Gerontology Department, CHU Nantes, Nantes, France
- Institut Universitaire de France, Paris, France
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Wang P, Chen S, Deng K, Zhang B, Im H, Feng J, Liu L, Yang Q, Zhao G, He Q, Chen C, Wang H, Wang Q. Distributed attribute representation in the superior parietal lobe during probabilistic decision-making. Hum Brain Mapp 2023; 44:5693-5711. [PMID: 37614216 PMCID: PMC10619403 DOI: 10.1002/hbm.26470] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 06/18/2023] [Accepted: 08/10/2023] [Indexed: 08/25/2023] Open
Abstract
Several studies have examined the neural substrates of probabilistic decision-making, but few have systematically investigated the neural representations of the two objective attributes of probabilistic rewards, that is, the reward amount and the probability. Specifically, whether there are common or distinct neural activity patterns to represent the objective attributes and their association with the neural representation of the subjective valuation remains largely underexplored. We conducted two studies (nStudy1 = 34, nStudy2 = 41) to uncover distributed neural representations of the objective attributes and subjective value as well as their association with individual probability discounting rates. The amount and probability were independently manipulated to better capture brain signals sensitive to these two attributes and were presented simultaneously in Study 1 and successively in Study 2. Both univariate and multivariate pattern analyses showed that the brain activities in the superior parietal lobule (SPL), including the postcentral gyrus, were modulated by the amount of rewards and probability in both studies. Further, representational similarity analysis revealed a similar neural representation between these two objective attributes and between the attribute and valuation. Moreover, the SPL tracked the subjective value integrated by the hyperbolic function. Probability-related brain activations in the inferior parietal lobule were associated with the variability in individual discounting rates. These findings provide novel insights into a similar neural representation of the two attributes during probabilistic decision-making and perhaps support the common neural coding of stimulus objective properties and subjective value in the field of probabilistic discounting.
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Affiliation(s)
- Pinchun Wang
- Faculty of PsychologyTianjin Normal UniversityTianjinChina
| | - Shuning Chen
- Faculty of PsychologyTianjin Normal UniversityTianjinChina
| | - Kun Deng
- Faculty of PsychologyTianjin Normal UniversityTianjinChina
| | - Bin Zhang
- Faculty of PsychologyTianjin Normal UniversityTianjinChina
| | - Hohjin Im
- Department of Psychological ScienceUniversity of California IrvineIrvineCaliforniaUSA
| | - Junjiao Feng
- Faculty of PsychologyTianjin Normal UniversityTianjinChina
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and BehaviorTianjin Normal UniversityTianjinChina
- Tianjin Social Science Laboratory of Students' Mental Development and LearningTianjinChina
| | - Liqing Liu
- Faculty of PsychologyTianjin Normal UniversityTianjinChina
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and BehaviorTianjin Normal UniversityTianjinChina
- Tianjin Social Science Laboratory of Students' Mental Development and LearningTianjinChina
| | - Qinghao Yang
- Faculty of PsychologyTianjin Normal UniversityTianjinChina
| | - Guang Zhao
- Faculty of PsychologyTianjin Normal UniversityTianjinChina
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and BehaviorTianjin Normal UniversityTianjinChina
- Tianjin Social Science Laboratory of Students' Mental Development and LearningTianjinChina
| | - Qinghua He
- Faculty of Psychology, MOE Key Laboratory of Cognition and PersonalitySouthwest UniversityChongqingChina
| | - Chunhui Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
| | - He Wang
- Institute of Biomedical EngineeringChinese Academy of Medical Science & Peking Union Medical CollegeTianjinChina
| | - Qiang Wang
- Faculty of PsychologyTianjin Normal UniversityTianjinChina
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and BehaviorTianjin Normal UniversityTianjinChina
- Tianjin Social Science Laboratory of Students' Mental Development and LearningTianjinChina
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Zheng H, Zhou W, Wang M, Dong HH, Lu C, Zhang JL, Ma XF, Hu Y, Dong GH. Gender difference in network relationship between inter-temporal decisions and prefrontal activation levels in internet gaming disorder. PSYCHORADIOLOGY 2023; 3:kkad015. [PMID: 38666126 PMCID: PMC11003422 DOI: 10.1093/psyrad/kkad015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/03/2023] [Accepted: 09/13/2023] [Indexed: 04/28/2024]
Abstract
Background Impulsivity and decision-making are key factors in addiction. However, little is known about how gender and time sensitivity affect impulsivity in internet gaming disorder (IGD). Objective To investigate the gender difference of impulsive decision-making and relevant brain responses in IGD. Methods We conducted a functional magnetic resonance imaging (fMRI) study with 123 participants, including 59 IGD individuals (26 females) and 64 matched recreational game users (RGUs, 23 females). Participants performed a delay-discounting task during fMRI scanning. We examined gender-by-group effects on behavioral and neural measures to explore the preference for immediate over delayed rewards and the associated brain activity. We also investigated the network correlations between addiction severity and behavioral and neural measures, and analyzed the mediating role of brain activity in the link between delay discounting parameters and IGD severity. Results We found significant gender-by-group interactions. The imaging results revealed gender-by-group interactions in the dorsolateral prefrontal cortex, medial frontal gyrus, and inferior frontal gyrus (IFG). Post hoc analysis indicated that, for females, RGUs showed higher activity than IGD individuals in these brain regions, while for males IGD individuals exhibited higher activity than RGUs. The activation in the left IFG mediated the relation between Internet Addiction Test score and discount rate in females. In males, the activation in the right dlPFC mediated the relation between IAT score and time sensitivity. Discussion Our findings imply that male IGD participants demonstrate impaired intertemporal decisions associated with neural dysfunction. Influencing factors for impulsive decision-making in IGD diverge between males (time sensitivity) and females (discount rate). These findings augment our comprehension of the neural underpinnings of gender differences in IGD and bear significant implications for devising effective intervention strategies for treating people with IGD.
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Affiliation(s)
- Hui Zheng
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province 650500, China
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Weiran Zhou
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
| | - Min Wang
- School of Humanities and Social Science, University of Science and Technology of China, Hefei 230022, P.R. China
| | - Hao-hao Dong
- Department of Psychology, Nanjing University, Nanjing, Jiangsu Province 210008, China
| | - Chunlei Lu
- Department of Psychology, Zhejiang Normal University, Jinhua, Zhejiang Province 321004, China
| | - Jia-lin Zhang
- Institute of Developmental Psychology, Beijing Normal University, Beijing 100875,China
| | - Xue-feng Ma
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
| | - Yanbo Hu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing 100875, China
| | - Guang-Heng Dong
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province 650500, China
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China
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Zhang Z, Zheng H, Zhou W, Dong GH. Brain responses to decision-making in easy and hard choices in internet gaming disorder: Implications for irrepressible gaming behaviours. J Psychiatr Res 2023; 165:233-240. [PMID: 37523975 DOI: 10.1016/j.jpsychires.2023.07.027] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 06/27/2023] [Accepted: 07/20/2023] [Indexed: 08/02/2023]
Abstract
BACKGROUND Impaired decision-making was observed in internet gaming disorder (IGD), however, these studies did not differentiate 'hard' to 'easy' decisions, and only the 'hard' decision-making could reveal the mechanism underlying this issue. METHODS We recruited forty-eight individuals with IGD and forty-six recreational internet game users (RGUs) as a control group in this study. fMRI data were collected when they were finishing a value-matching delayed discount task (DDT), which included easy and hard decisions judging based on the indifference points of every participant. The correlations between brain responses during DDT and IGD severity and the effective connectivity between brain regions were calculated. RESULTS Compared to RGUs, IGD subjects showed enhanced activation in the orbitofrontal cortex (OFC) when facing hard choices, and this feature was associated with IGD severity. In addition, individuals with IGD showed increased effective connectivity from the OFC to the dorsolateral prefrontal cortex and the OFC to the occipital lobe and decreased effective connectivity from the occipital lobe to the OFC. CONCLUSION The current study showed that the abnormal activation in the OFC was associated with IGD severity and higher OFC-DLPFC/OFC-occipital lobe effective connectivity and lower occipital lobe-OFC effective connectivity when individuals with IGD faced different choices in the DDT. These findings suggest the neural mechanisms of impulsive decision-making in individuals with IGD due to dysfunction with subjective evaluation and dysfunction of the connection with the executive control system.
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Affiliation(s)
- Zhaojie Zhang
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province, PR China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiran Zhou
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
| | - Guang-Heng Dong
- Department of Psychology, Yunnan Normal University, Kunming, Yunnan Province, PR China.
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10
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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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11
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Chen J, Gong X, Wang L, Xu M, Zhong X, Peng Z, Song T, Xu L, Lian J, Shao Y, Weng X. Altered Postcentral Connectivity after Sleep Deprivation Correlates to Impaired Risk Perception: A Resting-State Functional Magnetic Resonance Imaging Study. Brain Sci 2023; 13:brainsci13030514. [PMID: 36979324 PMCID: PMC10046171 DOI: 10.3390/brainsci13030514] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 03/15/2023] [Accepted: 03/16/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Previous studies revealed that sleep deprivation (SD) impairs risk perception and leads to poor decision-making efficiency. However, how risk perception is related to brain regions' communication after SD has not been elucidated. In this study, we investigated the neuropsychological mechanisms of SD-impaired risk perception. METHODS Nineteen healthy male adults were recruited and underwent resting-state functional magnetic resonance imaging during a state of rested wakefulness and after nearly 36 h of total SD. They then completed the balloon analog risk task, which was used to measure the risk perception ability of risky decision-making. Regional homogeneity (ReHo) and voxel-wise functional connectivity were used to investigate neurobiological changes caused by SD. Correlation analysis was used to investigate the relationship between changes in ReHo, function, and risk perception. RESULTS At the behavioral level, risk perception decreased after 36 h of SD. At the neural level, SD induced a significant increase in ReHo in the right postcentral gyrus and was positively correlated with risk perception changes. The functional connectivity between the right postcentral gyrus, left medial temporal gyrus, and right inferior temporal gyrus was enhanced. Critically, increased right postcentral gyrus and right inferior temporal gyrus connectivity positively correlated with changes in risk perception. CONCLUSIONS SD impairs the risk perception associated with altered postcentral connectivity. The brain requires more energy to process and integrate sensory and perceptual information after SD, which may be one possible reason for decreased risk perception ability after SD.
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Affiliation(s)
- Jie Chen
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Xinxin Gong
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Letong Wang
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Mengmeng Xu
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Xiao Zhong
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Ziyi Peng
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Tao Song
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Lin Xu
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Jie Lian
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing 100084, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, China
| | - Xiechuan Weng
- Department of Neuroscience, Beijing Institute of Basic Medical Sciences, Beijing 100850, China
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12
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Chen H, Dong G, Li K. Overview on brain function enhancement of Internet addicts through exercise intervention: Based on reward-execution-decision cycle. Front Psychiatry 2023; 14:1094583. [PMID: 36816421 PMCID: PMC9933907 DOI: 10.3389/fpsyt.2023.1094583] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 01/13/2023] [Indexed: 02/05/2023] Open
Abstract
Internet addiction (IA) has become an impulse control disorder included in the category of psychiatric disorders. The IA trend significantly increased after the outbreak of the new crown epidemic. IA damages some brain functions in humans. Emerging evidence suggests that exercise exerts beneficial effects on the brain function and cognitive level damaged by IA. This work reviews the neurobiological mechanisms of IA and describes the brain function impairment by IA from three systems: reward, execution, and decision-making. Furthermore, we sort out the research related to exercise intervention on IA and its effect on improving brain function. The internal and external factors that produce IA must be considered when summarizing movement interventions from a behavioral perspective. We can design exercise prescriptions based on exercise interests and achieve the goal of quitting IA. This work explores the possible mechanisms of exercise to improve IA through systematic analysis. Furthermore, this work provides research directions for the future targeted design of exercise prescriptions.
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Affiliation(s)
- Hao Chen
- Department of Sports, Quzhou University, Quzhou, China.,Department of Graduate School of Education, Shandong Sport University, Jinan, China
| | - Guijun Dong
- Department of Sports, Quzhou University, Quzhou, China.,Department of Graduate School of Education, Shandong Sport University, Jinan, China
| | - Kefeng Li
- Department of Medicine, Quzhou College of Technology, Quzhou, China
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13
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Wang L, Zheng H, Wang M, Chen S, Du X, Dong GH. Sex differences in neural substrates of risk taking: Implications for sex-specific vulnerabilities to internet gaming disorder. J Behav Addict 2022; 11:778-795. [PMID: 36053718 PMCID: PMC9872542 DOI: 10.1556/2006.2022.00057] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 06/15/2022] [Accepted: 07/20/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND AND AIMS Sex differences in internet gaming disorder (IGD) remain unknown. Investigating sex-specific neural features that underlie the core risk factor (i.e., risk-taking) of IGD would help in understanding sex-specific vulnerabilities to IGD and advance sex-specific treatments and prevention for IGD. METHODS 111 participants (28 IGD males, 27 IGD females, 26 recreational game user (RGU) males, 30 RGU females) completed a probability discounting task during fMRI scanning. RESULTS First, among RGUs, males showed a higher risk-taking tendency and greater neural activation associated with risk/value evaluation for reward (the ventromedial prefrontal cortex (vmPFC), anterior cingulate cortex (ACC), left putamen) and smaller activation associated with cognitive control (the inferior frontal gyrus) than females during the contrast of risky-safe choices. Moreover, males showed a greater modulatory effect of risky choices on the connection from the vmPFC/ACC to the left putamen than females. Second, IGD males showed decreased activation in the vmPFC/ACC and left putamen compared to RGU males, whereas this decrease did not exist in IGD females. DISCUSSION Males show a higher risk-taking tendency than females. Altered neural substrates associated with risky decision-making exist in IGD males but not in IGD females. CONCLUSIONS The present findings fill the gap in information on the behavioral and neural substrates underlying IGD among females and demonstrate that a high risk-taking tendency is a risk factor and core symptom only in IGD males but not in IGD females. It is necessary to design and adopt distinct treatments and prevention strategies for IGD in males and females.
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Affiliation(s)
- Lingxiao Wang
- Centre for Cognition and Brain disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China,Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China,Corresponding author. E-mail:
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Min Wang
- Centre for Cognition and Brain disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China,Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Shuaiyu Chen
- Centre for Cognition and Brain disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China,Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Xiaoxia Du
- School of Psychology, Shanghai University of Sport, Shanghai, China
| | - Guang-Heng Dong
- Centre for Cognition and Brain disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China,Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, China,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China,Corresponding author. E-mail:
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14
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Hüpen P, Habel U, Votinov M, Kable JW, Wagels L. A Systematic Review on Common and Distinct Neural Correlates of Risk-taking in Substance-related and Non-substance Related Addictions. Neuropsychol Rev 2022; 33:492-513. [PMID: 35906511 PMCID: PMC10148787 DOI: 10.1007/s11065-022-09552-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 05/24/2022] [Indexed: 12/01/2022]
Abstract
Both substance-related as well as non-substance-related addictions may include recurrent engagement in risky actions despite adverse outcomes. We here apply a unified approach and review task-based neuroimaging studies on substance-related (SRAs) and non-substance related addictions (NSRAs) to examine commonalities and differences in neural correlates of risk-taking in these two addiction types. To this end, we conducted a systematic review adhering to the PRISMA guidelines. Two databases were searched with predefined search terms to identify neuroimaging studies on risk-taking tasks in individuals with addiction disorders. In total, 19 studies on SRAs (comprising a total of 648 individuals with SRAs) and 10 studies on NSRAs (comprising a total of 187 individuals with NSRAs) were included. Risk-related brain activation in SRAs and NSRAs was summarized individually and subsequently compared to each other. Results suggest convergent altered risk-related neural processes, including hyperactivity in the OFC and the striatum. As characteristic for both addiction types, these brain regions may represent an underlying mechanism of suboptimal decision-making. In contrast, decreased DLPFC activity may be specific to SRAs and decreased IFG activity could only be identified for NSRAs. The precuneus and posterior cingulate show elevated activity in SRAs, while findings regarding these areas were mixed in NSRAs. Additional scarce evidence suggests decreased ventral ACC activity and increased dorsal ACC activity in both addiction types. Associations between identified activation patterns with drug use severity underpin the clinical relevance of these findings. However, this exploratory evidence should be interpreted with caution and should be regarded as preliminary. Future research is needed to evaluate the findings gathered by this review.
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Affiliation(s)
- Philippa Hüpen
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany. .,JARA - Translational Brain Medicine, Aachen, Germany.
| | - Ute Habel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.,Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Mikhail Votinov
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.,Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
| | - Joseph W Kable
- Department of Psychology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lisa Wagels
- Department of Psychiatry, Psychotherapy and Psychosomatics, Faculty of Medicine, RWTH Aachen, Aachen, Germany.,Institute of Neuroscience and Medicine: JARA-Institute Brain Structure Function Relationship (INM 10), Research Center Jülich, Jülich, Germany
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15
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Liu Z, Huang P, Gong Y, Wang Y, Wu Y, Wang C, Guo X. Altered neural responses to missed chance contribute to the risk-taking behaviour in individuals with Internet gaming disorder. Addict Biol 2022; 27:e13124. [PMID: 34894025 DOI: 10.1111/adb.13124] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 10/17/2021] [Accepted: 11/12/2021] [Indexed: 12/24/2022]
Abstract
Missed chance is a powerful factor in shaping risk-taking behaviour. The abnormal risk-taking behaviour is an obvious feature of individuals with Internet gaming disorder (IGD). However, the relationship between the neural responses to missed chance and risk-taking behaviour in IGD individuals remains unclear. In the current fMRI study, 28 IGD subjects (12 female, 23.04 ± 2.43 years old) and 26 healthy control (HC) subjects (13 female, 23.58 ± 2.67 years old) participated in fMRI scanning during performance of a sequential risk-taking task. The general linear model and the psycho-physiological interaction analyses were conducted to explore the difference in neural responses between the two groups. The results showed that IGD subjects reported more regret for the large missed chance and took more risk than HC subjects. Moreover, compared with HC subjects, IGD subjects exhibited greater activations in brain regions like ventral striatum (VS) and superior frontal gyrus (SFG), and stronger VS-thalamus functional connectivity for the large missed chance. Additionally, among IGD subjects, the SFG activation for the large missed chance was positively correlated with the risk-taking behaviour. Together, the results revealed the altered neural responses to missed chance contributed to the risk-taking behaviour in IGD individuals. The findings could help to clearly understand why IGD individuals continue playing online games despite the risks of widely known and could provide a new perspective for the intervention of IGD.
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Affiliation(s)
- Zhiyuan Liu
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology Shaanxi Normal University Xi'an China
| | - Pujiang Huang
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology Shaanxi Normal University Xi'an China
| | - Yue Gong
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology Shaanxi Normal University Xi'an China
| | - Yifan Wang
- School of Psychology and Cognitive Science East China Normal University Shanghai China
| | - Yuyan Wu
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science East China Normal University Shanghai China
| | - Chenggong Wang
- School of Psychology and Cognitive Science East China Normal University Shanghai China
- College of Science and Technology Ningbo University Cixi China
| | - Xiuyan Guo
- School of Psychology and Cognitive Science East China Normal University Shanghai China
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science East China Normal University Shanghai China
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16
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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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17
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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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18
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Liu S, Lu Y, Li S, Huang P, Li L, Liu S, Zhang W, Liu Z, Guo X. Resting-state functional connectivity within orbitofrontal cortex and inferior frontal gyrus modulates the relationship between reflection level and risk-taking behavior in internet gaming disorder. Brain Res Bull 2021; 178:49-56. [PMID: 34728230 DOI: 10.1016/j.brainresbull.2021.10.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 10/06/2021] [Accepted: 10/28/2021] [Indexed: 01/20/2023]
Abstract
Internet gaming disorder (IGD) has become an increasing mental health issue worldwide. Previous studies indicated that IGD was related to maladaptive risk-taking behavior. However, the relationship among risk-taking behavior, reflection level, and resting-state functional connectivity (rsFC) between brain regions in IGD individuals remains unclear. The current study combined resting-state fMRI and the Devil task to investigate this issue. The behavioral results suggested that IGD participants exhibited increased risk-taking behavior in the Devil task than healthy controls. Moreover, IGD participants' risk-taking behavior was positively correlated with their reflection level. As for fMRI results, IGD participants showed stronger rsFC between orbitofrontal cortex (OFC) and inferior frontal gyrus (IFG) than healthy controls. Additionally, the mediation analyses revealed that, among IGD participants, the rsFC between OFC and IFG fully mediated the relationship between reflection level and risk-taking behavior. Together, the current study highlighted that the altered rsFC between OFC and IFG in IGD individuals modified the relationship between their reflection level and risk-taking behavior, which might contribute to the understanding of neural mechanisms underlying risk-taking behavior in IGD individuals.
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Affiliation(s)
- Sijia Liu
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, PR China
| | - Yang Lu
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, PR China
| | - Shuang Li
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, PR China
| | - Pujiang Huang
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, PR China
| | - Lin Li
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, PR China
| | - Siyi Liu
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, PR China
| | - Weidong Zhang
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, PR China.
| | - Zhiyuan Liu
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, PR China.
| | - Xiuyan Guo
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, PR China; Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Materials Science, East China Normal University, Shanghai, PR China
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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: 69] [Impact Index Per Article: 17.3] [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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20
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Legault MCB, Liu HZ, Balodis IM. Neuropsychological Constructs in Gaming Disorders: a Systematic Review. Curr Behav Neurosci Rep 2021. [DOI: 10.1007/s40473-021-00230-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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21
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A systematic review and meta-analysis on the clinical implications of probability discounting among individuals with Internet gaming disorder. Sci Rep 2021; 11:3177. [PMID: 33542406 PMCID: PMC7862357 DOI: 10.1038/s41598-021-82822-z] [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] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 01/01/2021] [Indexed: 01/30/2023] Open
Abstract
The significance of probability discounting (PD) among individuals with Internet gaming disorder (IGD) remains unclear. Following the PRISMA guidelines, we systematically searched the PubMed, Embase, and ScienceDirect databases for English articles on Internet addiction that included comparison between individuals with and without IGD as well as probabilistic discounting task as the main outcome from January 1970 to July 2020 using the appropriate keyword strings. The primary outcome was the overall difference in rate of PD, while the secondary outcomes included the difference in PD with magnitude of probabilistic reward and response time of the PD task. Effect size (ES) was calculated through dividing the group means (e.g., h value or AUC) by the pooled standard deviations of the two groups. A total of five studies with 300 participants (i.e., IGD group, n = 150, mean age = 20.27 ± 2.68; healthy controls, n = 150, mean age = 20.70 ± 2.81) were analyzed. The IGD group was more willing to take risks in probabilistic gains but performances on probabilistic losses were similar between the two groups. The IGD group also exhibited a shorter response time (Hedge's g = - 0.51; 95%CI = - 0.87 to - 0.15). Meta-regression demonstrated a positive correlation between maximum reward magnitude and PD rate (p < 0.04). However, significant publication bias was noted among the included studies (Egger's test, p < 0.01). In conclusion, individuals with IGD seemed more impulsive in making risky decisions, especially when the potential gains were expected. Our findings not only supported the use of PD for assessing individuals with IGD but may also provide new insights into appropriate interventions.
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22
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Yan WS, Chen RT, Liu MM, Zheng DH. Monetary Reward Discounting, Inhibitory Control, and Trait Impulsivity in Young Adults With Internet Gaming Disorder and Nicotine Dependence. Front Psychiatry 2021; 12:628933. [PMID: 33584390 PMCID: PMC7876248 DOI: 10.3389/fpsyt.2021.628933] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 01/05/2021] [Indexed: 12/11/2022] Open
Abstract
Internet Gaming Disorder (IGD) has been considered a potential behavioral or non-substance addiction that requires further investigation. Recognition of the commonalities between IGD and Substance Use disorders (SUD) would be of great help to better understand the basic mechanisms of addictive behaviors and excessive Internet gaming. However, little research has targeted a straightforward contrast between IGD and SUD on neuropsychological aspects. The present study thus aimed to explore the associations of reward processing and inhibitory control with IGD and nicotine dependence (ND) in young adults. Fifty-eight IGD and 53 ND individuals, as well as 57 age- and gender-matched healthy controls, were assessed with a series of measurements including the Delay-discounting Test (DDT), Probability Discounting Test (PDT), the Stroop Color-Word Task, a revised Go/No Go Task, and the Barratt Impulsiveness Scale (BIS-11). Multivariate analysis of variance (mANOVA) models revealed that both IGD and ND groups scored higher than healthy controls on the BIS-11 attentional, motor, and non-planning impulsiveness (Cohen's d = 0.41-1.75). Higher degrees of delay discounting on the DDT were also found in IGD and ND groups compared to healthy controls (Cohen's d = 0.53-0.69). Although IGD group did not differ from healthy controls on the PDT, ND group had a lower degree of probability discounting than healthy controls (Cohen's d = 0.55), suggesting a reduction in risk aversion. Furthermore, ND subjects showed a lower correct accuracy in the incongruent trials of the Stroop task than healthy controls (Cohen's d = 0.61). On the Go/No Go task, both IGD and ND groups had a lower correct accuracy in the No-Go trials than healthy controls (Cohen's d = 1.35-1.50), indicating compromised response inhibition. These findings suggested that IGD was linked to both anomalous reward discounting and dysfunctional inhibitory control, which was comparable with one typical SUD category (i.e., ND). This study might promote a better understanding of the pathogenesis of IGD as a potential addictive disorder similar to SUD.
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Affiliation(s)
- Wan-Sen Yan
- Department of Psychology, School of Medical Humanitarians, Guizhou Medical University, Guiyang, China
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23
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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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24
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Raiha S, Yang G, Wang L, Dai W, Wu H, Meng G, Zhong B, Liu X. Altered Reward Processing System in Internet Gaming Disorder. Front Psychiatry 2020; 11:599141. [PMID: 33343426 PMCID: PMC7746551 DOI: 10.3389/fpsyt.2020.599141] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 11/10/2020] [Indexed: 11/17/2022] Open
Abstract
Converging evidence indicates that addiction involves impairment in reward processing systems. However, the patterns of dysfunction in different stages of reward processing in internet gaming addiction remain unclear. In previous studies, individuals with internet gaming disorder were found to be impulsive and risk taking, but there is no general consensus on the relation between impulsivity and risk-taking tendencies in these individuals. The current study explored behavioral and electrophysiological responses associated with different stages of reward processing among individuals with internet gaming disorders (IGDs) with a delayed discounting task and simple gambling tasks. Compared to the healthy control (HC) group, the IGD group discounted delays more steeply and made more risky choices, irrespective of the outcome. As for the event-related potential (ERP) results, during the reward anticipation stage, IGDs had the same stimulus-preceding negativity (SPN) for both large and small choices, whereas HCs exhibited a higher SPN in large vs. small choices. During the outcome evaluation stage, IGDs exhibited a blunted feedback-related negativity for losses vs. gains. The results indicate impairment across different stages of reward processing among IGDs. Moreover, we found negative correlation between impulsivity indexed by BIS-11 and reward sensitivity indexed by SPN amplitude during anticipation stage only, indicating different neural mechanisms at different stages of reward processing. The current study helps to elucidate the behavioral and neural mechanisms of reward processing in internet gaming addiction.
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Affiliation(s)
- Syeda Raiha
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Guochun Yang
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Lingxiao Wang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Weine Dai
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Center for Education and Research, Beijing, China
- CFIN and Pet Center, Aarhus University, Aarhus, Denmark
| | - Haiyan Wu
- Centre for Cognitive and Brain Sciences and Department of Psychology, University of Macau, Taipa, Macau
| | - Guangteng Meng
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Bowei Zhong
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xun Liu
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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25
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Dysfunctional default mode network and executive control network in people with Internet gaming disorder: Independent component analysis under a probability discounting task. Eur Psychiatry 2020; 34:36-42. [DOI: 10.1016/j.eurpsy.2016.01.2424] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Revised: 01/23/2016] [Accepted: 01/26/2016] [Indexed: 12/13/2022] Open
Abstract
AbstractBackgroundThe present study identified the neural mechanism of risky decision-making in Internet gaming disorder (IGD) under a probability discounting task.MethodsIndependent component analysis was used on the functional magnetic resonance imaging data from 19 IGD subjects (22.2 ± 3.08 years) and 21 healthy controls (HC, 22.8 ± 3.5 years).ResultsFor the behavioral results, IGD subjects prefer the risky to the fixed options and showed shorter reaction time compared to HC. For the imaging results, the IGD subjects showed higher task-related activity in default mode network (DMN) and less engagement in the executive control network (ECN) than HC when making the risky decisions. Also, we found the activities of DMN correlate negatively with the reaction time and the ECN correlate positively with the probability discounting rates.ConclusionsThe results suggest that people with IGD show altered modulation in DMN and deficit in executive control function, which might be the reason for why the IGD subjects continue to play online games despite the potential negative consequences.
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26
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An Overview of the Neurobiology of Impulsivity in Gambling and Gaming Disorder. Curr Behav Neurosci Rep 2019. [DOI: 10.1007/s40473-019-00190-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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27
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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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28
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Şalvarlı Şİ, Griffiths MD. The Association Between Internet Gaming Disorder and Impulsivity: A Systematic Review of Literature. Int J Ment Health Addict 2019. [DOI: 10.1007/s11469-019-00126-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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29
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Vaccaro AG, Potenza MN. Diagnostic and Classification Considerations Regarding Gaming Disorder: Neurocognitive and Neurobiological Features. Front Psychiatry 2019; 10:405. [PMID: 31258494 PMCID: PMC6586738 DOI: 10.3389/fpsyt.2019.00405] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 05/21/2019] [Indexed: 12/26/2022] Open
Abstract
Video gaming and Internet use have become a part of the everyday lives of many individuals, especially during adolescence. Given the health concerns related to problematic gaming behaviors, gaming disorder (GD) has been included in the version of the 11th edition of The International Classification of Diseases (ICD-11) ratified by the secretariat of the World Health Organization. Given these considerations and others (including debate regarding the most appropriate classification of GD and how best to prevent and treat the condition), there is a need for further research into GD. Specifically, we suggest that researching intermediate phenotypes focusing on cognitive and neurobiological function may help clarify GD's relationships to other addictive disorders and more accurately define their relationships with core and associated features of GD. Overlaps in neural activity, cognitive functioning, and other features suggest that GD shares similarities with gambling and substance-use disorders and may best be classified as an addictive disorder. Individuals with GD differ from those with regular game use (RGU) on neurocognitive levels. However, concerns have been raised with respect to the differences between GD and substance-use disorders in certain dimensional features, such as tolerance. Additionally, it has been argued that differences between GD and RGU may not be fully captured by nomenclature systems like the ICD-11. Nonetheless, individuals seek treatment for help with GD, despite the limited data available for effective treatments. As more data are gathered from investigations of GD, they should be translated into refining criteria for GD and optimizing interventions.
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Affiliation(s)
- Anthony G. Vaccaro
- Child Study Center, Yale University School of Medicine, New Haven, CT, United States
- Brain and Creativity Institute, Dornsife College of Arts and Sciences, University of Southern California, Los Angeles, CA, United States
| | - Marc N. Potenza
- Child Study Center, Yale University School of Medicine, New Haven, CT, United States
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, United States
- Connecticut Council on Problem Gambling, Wethersfield, CT, United States
- Connecticut Mental Health Center, New Haven, CT, United States
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30
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Wang M, Hu Y, Wang Z, Du X, Dong G. Sex difference in the effect of Internet gaming disorder on the brain functions: Evidence from resting-state fMRI. Neurosci Lett 2019; 698:44-50. [DOI: 10.1016/j.neulet.2018.12.038] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 12/23/2018] [Accepted: 12/26/2018] [Indexed: 12/31/2022]
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31
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Zhou F, Montag C, Sariyska R, Lachmann B, Reuter M, Weber B, Trautner P, Kendrick KM, Markett S, Becker B. Orbitofrontal gray matter deficits as marker of Internet gaming disorder: converging evidence from a cross-sectional and prospective longitudinal design. Addict Biol 2019; 24:100-109. [PMID: 29057579 DOI: 10.1111/adb.12570] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 07/28/2017] [Accepted: 09/11/2017] [Indexed: 01/16/2023]
Abstract
Internet gaming disorder represents a growing health issue. Core symptoms include unsuccessful attempts to control the addictive patterns of behavior and continued use despite negative consequences indicating a loss of regulatory control. Previous studies revealed brain structural deficits in prefrontal regions subserving regulatory control in individuals with excessive Internet use. However, because of the cross-sectional nature of these studies, it remains unknown whether the observed brain structural deficits preceded the onset of excessive Internet use. Against this background, the present study combined a cross-sectional and longitudinal design to determine the consequences of excessive online video gaming. Forty-one subjects with a history of excessive Internet gaming and 78 gaming-naive subjects were enrolled in the present study. To determine effects of Internet gaming on brain structure, gaming-naive subjects were randomly assigned to 6 weeks of daily Internet gaming (training group) or a non-gaming condition (training control group). At study inclusion, excessive Internet gamers demonstrated lower right orbitofrontal gray matter volume compared with Internet gaming-naive subjects. Within the Internet gamers, a lower gray matter volume in this region was associated with higher online video gaming addiction severity. Longitudinal analysis revealed initial evidence that left orbitofrontal gray matter volume decreased during the training period in the training group as well as in the group of excessive gamers. Together, the present findings suggest an important role of the orbitofrontal cortex in the development of Internet addiction with a direct association between excessive engagement in online gaming and structural deficits in this brain region.
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Affiliation(s)
- Feng Zhou
- Key Laboratory for NeuroInformation, Center for Information in Medicine, School of Life Science and Technology; University of Electronic Science and Technology of China; China
| | - Christian Montag
- Key Laboratory for NeuroInformation, Center for Information in Medicine, School of Life Science and Technology; University of Electronic Science and Technology of China; China
- Institute of Psychology and Education; Ulm University; Germany
| | - Rayna Sariyska
- Institute of Psychology and Education; Ulm University; Germany
| | - Bernd Lachmann
- Institute of Psychology and Education; Ulm University; Germany
| | - Martin Reuter
- Department of Psychology; University of Bonn; Germany
- Center for Economics and Neuroscience; University of Bonn; Germany
| | - Bernd Weber
- Center for Economics and Neuroscience; University of Bonn; Germany
- Department for NeuroCognition; Life & Brain Center; Germany
- Department of Epileptology; University Hospital of Bonn; Germany
| | - Peter Trautner
- Department for NeuroCognition; Life & Brain Center; Germany
| | - Keith M. Kendrick
- Key Laboratory for NeuroInformation, Center for Information in Medicine, School of Life Science and Technology; University of Electronic Science and Technology of China; China
| | - Sebastian Markett
- Department of Psychology; University of Bonn; Germany
- Center for Economics and Neuroscience; University of Bonn; Germany
| | - Benjamin Becker
- Key Laboratory for NeuroInformation, Center for Information in Medicine, School of Life Science and Technology; University of Electronic Science and Technology of China; China
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32
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Translational tests involving non-reward: methodological considerations. Psychopharmacology (Berl) 2019; 236:449-461. [PMID: 30306228 PMCID: PMC6373191 DOI: 10.1007/s00213-018-5062-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 10/02/2018] [Indexed: 02/07/2023]
Abstract
This review is concerned with methods for assessing the processing of unrewarded responses in experimental animals and the mechanisms underlying performance of these tasks. A number of clinical populations, including Parkinson's disease, depression, compulsive disorders, and schizophrenia demonstrate either abnormal processing or learning from non-rewarded responses in laboratory-based reinforcement learning tasks. These effects are hypothesized to result from disturbances in modulatory neurotransmitter systems, including dopamine and serotonin. Parallel work in experimental animals has revealed consistent behavioral patterns associated with non-reward and, consistent with the human literature, modulatory roles for specific neurotransmitters. Classical tests involving an important reward omission component include appetitive extinction, ratio schedules of responding, reversal learning, and delay and probability discounting procedures. In addition, innovative behavioral tests have recently been developed leverage probabilistic feedback to specifically assay accommodation of, and learning from, non-rewarded responses. These procedures will be described and reviewed with discussion of the behavioral and neural determinants of performance. A final section focusses specifically on the benefits of trial-by-trial analysis of responding during such tasks, and the implications of such analyses for the translation of findings to clinical studies.
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Do individuals with problematic and non-problematic internet game use differ in cooperative behaviors with partners of different social distances? Evidence from the Prisoner's Dilemma and Chicken Game. COMPUTERS IN HUMAN BEHAVIOR 2018. [DOI: 10.1016/j.chb.2018.05.040] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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34
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Group independent component analysis reveals alternation of right executive control network in Internet gaming disorder. CNS Spectr 2018; 23:300-310. [PMID: 28847333 DOI: 10.1017/s1092852917000360] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Previous studies have demonstrated that individuals with Internet gaming disorder (IGD) showed attentional bias toward gaming-related cues and exhibited impaired executive functions. The purpose of this study was to explore the alternations in related functional brain networks underlying attentional bias in IGD subjects. METHODS Eighteen IGD subjects and 19 healthy controls (HC) were scanned with functional magnetic resonance imaging while they were performing an addiction Stroop task. Networks of functional connectivity were identified using group independent component analysis (ICA). RESULTS ICA identified 4 functional networks that showed differences between the 2 groups, which were related to the right executive control network and visual related networks in our study. Within the right executive control network, in contrast to controls, IGD subjects showed increased functional connectivity in the temporal gyrus and frontal gyrus, and reduced functional connectivity in the posterior cingulate cortex, temporal gyrus, and frontal gyrus. CONCLUSION These findings suggest that IGD is related to abnormal functional connectivity of the right executive control network, and may be described as addiction-related abnormally increased cognitive control processing and diminished response inhibition during an addiction Stroop task. The results suggest that IGD subjects show increased susceptibility towards gaming-related cues but weakened strength of inhibitory control.
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35
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Mahoney CT, Lawyer SR. Domain-Specific Relationships in Sexual Measures of Impulsive Behavior. ARCHIVES OF SEXUAL BEHAVIOR 2018; 47:1591-1599. [PMID: 29696554 DOI: 10.1007/s10508-018-1210-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Revised: 02/23/2018] [Accepted: 03/28/2018] [Indexed: 06/08/2023]
Abstract
Impulsivity is an important construct for understanding sexual behaviors, but behavioral and self-report measures of impulsivity often are not correlated. One possible explanation for this is that there is little shared variance in the measures because behavioral measures index impulsivity by asking questions about monetary preferences, while self-report measures index impulsivity by asking about a broad range of real-world outcomes (including those of a sexual nature) largely unrelated to money-related preferences. Undergraduate students (total N = 105; female n = 77, male n = 28) completed laboratory measures-delay discounting (DD) and probability discounting (PD)-for two different outcomes-money and sexual activity. Participants also completed the Delaying Gratification Inventory (DGI), which measures difficulty with delaying gratification (i.e., impulsivity) across different domains, including money and physical pleasures. Findings indicated that DD and PD for money were not related to any of the DGI subscales. However, DD for sexual activity was significantly related to the DGI Physical Pleasures subscale, but not other subscales. These findings suggest that the relationship between behavioral and self-report measures of impulsive choice may be stronger when both are measuring domain-specific rather than domain-general behavioral patterns, but further research is warranted.
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Affiliation(s)
- Colin T Mahoney
- Department of Psychology, Idaho State University, 921 S. 8th Ave, Stop 8112, Pocatello, ID, 83209, USA.
| | - Steven R Lawyer
- Department of Psychology, Idaho State University, 921 S. 8th Ave, Stop 8112, Pocatello, ID, 83209, USA
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Gui DY, Yu T, Hu Z, Yan J, Li X. Dissociable functional activities of cortical theta and beta oscillations in the lateral prefrontal cortex during intertemporal choice. Sci Rep 2018; 8:11233. [PMID: 30046152 PMCID: PMC6060123 DOI: 10.1038/s41598-018-21150-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 12/07/2017] [Indexed: 11/23/2022] Open
Abstract
The lateral prefrontal cortex (LPFC) plays an important role in the neural networks involved in intertemporal choice. However, little is known about how the neural oscillation of LPFC functions during intertemporal choice, owing to the technical limitations of functional magnetic resonance imaging and event-related brain potential recordings. Electrocorticography (ECoG) is a novel neuroimaging technique that has high spatial and temporal resolution. In this study, we used ECoG and projected the ECoG data onto individual brain spaces to investigate human intracranial cortex activity and how neural oscillations of the LPFC impact intertemporal choice. We found that neural activity of theta oscillation was significantly higher during impulsive decisions, while beta oscillation activity was significantly higher during non-impulsive ones. Our findings suggest a functional dissociation between cortical theta and beta oscillations during decision-making processes involved in intertemporal choice, and that decision outcomes may be determined by LPFC modulation, which involves neural oscillations at different frequencies.
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Affiliation(s)
- Dan-Yang Gui
- Department of Marketing, College of Management, Shenzhen University, Shenzhen, China.,State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Tao Yu
- Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhenhong Hu
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, 32611-6131, USA
| | - Jiaqing Yan
- College of Electrical and Control Engineering, North China University of Technology, Beijing, China
| | - Xiaoli Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
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37
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Paulus FW, Ohmann S, von Gontard A, Popow C. Internet gaming disorder in children and adolescents: a systematic review. Dev Med Child Neurol 2018; 60:645-659. [PMID: 29633243 DOI: 10.1111/dmcn.13754] [Citation(s) in RCA: 274] [Impact Index Per Article: 39.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/02/2018] [Indexed: 02/02/2023]
Abstract
AIM Internet gaming disorder (IGD) is a serious disorder leading to and maintaining pertinent personal and social impairment. IGD has to be considered in view of heterogeneous and incomplete concepts. We therefore reviewed the scientific literature on IGD to provide an overview focusing on definitions, symptoms, prevalence, and aetiology. METHOD We systematically reviewed the databases ERIC, PsyARTICLES, PsycINFO, PSYNDEX, and PubMed for the period January 1991 to August 2016, and additionally identified secondary references. RESULTS The proposed definition in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition provides a good starting point for diagnosing IGD but entails some disadvantages. Developing IGD requires several interacting internal factors such as deficient self, mood and reward regulation, problems of decision-making, and external factors such as deficient family background and social skills. In addition, specific game-related factors may promote IGD. Summarizing aetiological knowledge, we suggest an integrated model of IGD elucidating the interplay of internal and external factors. INTERPRETATION So far, the concept of IGD and the pathways leading to it are not entirely clear. In particular, long-term follow-up studies are missing. IGD should be understood as an endangering disorder with a complex psychosocial background. WHAT THIS PAPER ADDS In representative samples of children and adolescents, on average, 2% are affected by Internet gaming disorder (IGD). The mean prevalences (overall, clinical samples included) reach 5.5%. Definitions are heterogeneous and the relationship with substance-related addictions is inconsistent. Many aetiological factors are related to the development and maintenance of IGD. This review presents an integrated model of IGD, delineating the interplay of these factors.
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Affiliation(s)
- Frank W Paulus
- Department of Child and Adolescent Psychiatry, Saarland University Hospital, Homburg, Germany
| | - Susanne Ohmann
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
| | - Alexander von Gontard
- Department of Child and Adolescent Psychiatry, Saarland University Hospital, Homburg, Germany
| | - Christian Popow
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
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38
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Nuyens FM, Kuss DJ, Lopez-Fernandez O, Griffiths MD. The Empirical Analysis of Non-problematic Video Gaming and Cognitive Skills: A Systematic Review. Int J Ment Health Addict 2018. [DOI: 10.1007/s11469-018-9946-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
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39
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Smith AP, Hofford RS, Zentall TR, Beckmann JS. The role of 'jackpot' stimuli in maladaptive decision-making: dissociable effects of D1/D2 receptor agonists and antagonists. Psychopharmacology (Berl) 2018; 235:1427-1437. [PMID: 29455291 PMCID: PMC7716655 DOI: 10.1007/s00213-018-4851-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2017] [Accepted: 02/05/2018] [Indexed: 01/10/2023]
Abstract
RATIONALE Laboratory experiments often model risk through a choice between a large, uncertain (LU) reward against a small, certain (SC) reward as an index of an individual's risk tolerance. An important factor generally lacking from these procedures are reward-associated cues that may modulate risk preferences. OBJECTIVE We tested whether the addition of cues signaling 'jackpot' wins to LU choices would modulate risk preferences and if these cue effects were mediated by dopaminergic signaling. METHODS Three groups of rats chose between LU and SC rewards for which the LU probability of reward decreased across blocks. The unsignaled group received a non-informative stimulus of trial outcome. The signaled group received a jackpot signal prior to reward delivery and blackout on losses. The signaled-light group received a similar jackpot for wins, but a salient loss signal distinct from the win signal. RESULTS Presenting win signals decreased the discounting of LU value for both signaled groups regardless of loss signal, while the unsignaled group showed discounting similar to previous research without cues. Pharmacological challenges with D1/D2 agonists and antagonists revealed that D1 antagonism increased and decreased sensitives to the relative probability of reward for unsignaled and signaled groups, respectively, while D2 agonists decreased sensitivities to the relative magnitude of reward. CONCLUSION The results highlight how signals predictive of wins can promote maladaptive risk taking in individuals, while loss signals have reduced effect. Additionally, the presence of reward-predictive cues may change the underlying neurobehavioral mechanisms mediating decision-making under risk.
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Affiliation(s)
- Aaron P. Smith
- Department of Psychology, University of Kentucky, Lexington Kentucky, 40506, United States of America
| | - Rebecca S. Hofford
- Department of Psychology, University of Kentucky, Lexington Kentucky, 40506, United States of America
| | - Thomas R. Zentall
- Department of Psychology, University of Kentucky, Lexington Kentucky, 40506, United States of America
| | - Joshua S. Beckmann
- Department of Psychology, University of Kentucky, Lexington Kentucky, 40506, United States of America,correspondence sent to:
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40
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Tian M, Tao R, Zheng Y, Zhang H, Yang G, Li Q, Liu X. Internet gaming disorder in adolescents is linked to delay discounting but not probability discounting. COMPUTERS IN HUMAN BEHAVIOR 2018. [DOI: 10.1016/j.chb.2017.10.018] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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41
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Liu L, Yao YW, Li CSR, Zhang JT, Xia CC, Lan J, Ma SS, Zhou N, Fang XY. The Comorbidity Between Internet Gaming Disorder and Depression: Interrelationship and Neural Mechanisms. Front Psychiatry 2018; 9:154. [PMID: 29740358 PMCID: PMC5924965 DOI: 10.3389/fpsyt.2018.00154] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 04/04/2018] [Indexed: 12/14/2022] Open
Abstract
Internet gaming disorder (IGD) is characterized by cognitive and emotional deficits. Previous studies have reported the co-occurrence of IGD and depression. However, extant brain imaging research has largely focused on cognitive deficits in IGD. Few studies have addressed the comorbidity between IGD and depression symptoms and underlying neural mechanisms. Here, we systematically investigated this issue by combining a longitudinal survey study, a cross-sectional resting-state functional connectivity (rsFC) study and an intervention study. Autoregressive cross-lagged modeling on a longitudinal dataset of college students showed that IGD severity and depression are reciprocally predictive. At the neural level, individuals with IGD exhibited enhanced rsFC between the left amygdala and right dorsolateral prefrontal cortex (DLPFC), inferior frontal and precentral gyrus, compared with control participants, and the amygdala-frontoparietal connectivity at the baseline negatively predicted reduction in depression symptoms following a psychotherapy intervention. Further, following the intervention, individuals with IGD showed decreased connectivity between the left amygdala and left middle frontal and precentral gyrus, as compared with the non-intervention group. These findings together suggest that IGD may be closely associated with depression; aberrant rsFC between emotion and executive control networks may underlie depression and represent a therapeutic target in individuals with IGD. Registry name: The behavioral and brain mechanism of IGD; URL: https://www.clinicaltrials.gov/ct2/show/NCT02550405; Registration number: NCT02550405.
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Affiliation(s)
- Lu Liu
- Faculty of Psychology, Institute of Developmental 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
| | - Yuan-Wei Yao
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.,Beijing Huilongguan Hospital, Beijing, China
| | - Jin-Tao Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Cui-Cui Xia
- Students Counseling Center, Beijing Normal University, Beijing, China
| | - Jing Lan
- Faculty of Psychology, Institute of Developmental Psychology, Beijing Normal University, Beijing, China
| | - Shan-Shan Ma
- Faculty of Psychology, Institute of Developmental Psychology, Beijing Normal University, Beijing, China
| | - Nan Zhou
- Faculty of Psychology, Institute of Developmental Psychology, Beijing Normal University, Beijing, China
| | - Xiao-Yi Fang
- Faculty of Psychology, Institute of Developmental Psychology, Beijing Normal University, Beijing, China
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42
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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: 122] [Impact Index Per Article: 15.3] [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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43
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Wang Y, Wu L, Wang L, Zhang Y, Du X, Dong G. Impaired decision-making and impulse control in Internet gaming addicts: evidence from the comparison with recreational Internet game users. Addict Biol 2017; 22:1610-1621. [PMID: 27687019 DOI: 10.1111/adb.12458] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Revised: 08/12/2016] [Accepted: 08/30/2016] [Indexed: 12/24/2022]
Abstract
Although Internet games have been proven to be addictive, only a few game players develop online gaming addiction. A large number of players play online games recreationally without being addicted to it. These individuals are defined as recreational Internet gaming users (RGU). So far, no research has investigated decision-making and impulse control in RGU. In the current study, we used delay discounting (DD) task and probabilistic discounting (PD) task to examine decision-making and impulse control in 20 healthy controls, 20 subjects with Internet gaming disorder (IGD) and 23 RGU during fMRI scanning. At the behavioral level, RGU showed lower DD rate and higher PD rate than subjects with IGD and there was no significant difference between RGU and healthy controls on the DD and PD rates. At the neural level, RGU showed increased neural response in the parahippocampal gyrus, the anterior cingulate cortex, the medial frontal gyrus and the inferior frontal gyrus as compared with subjects with IGD. These brain regions may play an important role in preventing RGU from developing addiction. The results suggest that the RGU are capable of inhibiting impulse due to additional cognitive endeavor and the subjects with IGD have deficit in decision-making and impulsive control, which are associated with brain dysfunction.
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Affiliation(s)
- Yifan Wang
- Department of Psychology; Zhejiang Normal University; China
| | - Lingdan Wu
- Department of Psychology; University of Konstanz; Germany
| | - Lingxiao Wang
- Department of Psychology; Zhejiang Normal University; China
| | - Yifen Zhang
- Department of Psychology; Zhejiang Normal University; China
| | - Xiaoxia Du
- Department of Physics, Shanghai Key Laboratory of Magnetic Resonance; East China Normal University; China
| | - Guangheng Dong
- Department of Psychology; Zhejiang Normal University; China
- Institute of Psychological and Brain Researches; Zhejiang Normal University; China
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44
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The experimental analysis of problematic video gaming and cognitive skills: A systematic review. ACTA ACUST UNITED AC 2017. [DOI: 10.1016/j.jtcc.2017.05.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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45
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Gambling-like behavior in pigeons: 'jackpot' signals promote maladaptive risky choice. Sci Rep 2017; 7:6625. [PMID: 28747679 PMCID: PMC5529572 DOI: 10.1038/s41598-017-06641-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 06/16/2017] [Indexed: 11/24/2022] Open
Abstract
Individuals often face choices that have uncertain outcomes and have important consequences. As a model of this environment, laboratory experiments often offer a choice between an uncertain, large reward that varies in its probability of delivery against a certain but smaller reward as a measure of an individual’s risk aversion. An important factor generally lacking from these procedures are gambling related cues that may moderate risk preferences. The present experiment offered pigeons choices between unreliable and certain rewards but, for the Signaled group on winning choices, presented a ‘jackpot’ signal prior to reward delivery. The Unsignaled group received an ambiguous stimulus not informative of choice outcomes. For the Signaled group, presenting win signals effectively blocked value discounting for the large, uncertain outcome as the probability of a loss increased, whereas the Unsignaled group showed regular preference changes similar to previous research lacking gambling related cues. These maladaptive choices were further shown to be unaffected by more salient loss signals and resistant to response cost increases. The results suggest an important role of an individual’s sensitivity to outcome-correlated cues in influencing risky choices that may moderate gambling behaviors in humans, particularly in casino and other gambling-specific environments.
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46
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Wang L, Wu L, Wang Y, Li H, Liu X, Du X, Dong G. Altered Brain Activities Associated with Craving and Cue Reactivity in People with Internet Gaming Disorder: Evidence from the Comparison with Recreational Internet Game Users. Front Psychol 2017; 8:1150. [PMID: 28744240 PMCID: PMC5504237 DOI: 10.3389/fpsyg.2017.01150] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Accepted: 06/23/2017] [Indexed: 01/20/2023] Open
Abstract
Although the neural substrates of cue reactivity in Internet gaming disorder (IGD) have been examined in previous studies, most of these studies focused on the comparison between IGD subjects and healthy controls, which cannot exclude a potential effect of cue-familiarity. To overcome this limitation, the current study focuses on the comparison between IGD subjects and recreational Internet game users (RGU) who play online games recreationally but do not develop dependence. Data from 40 RGU and 30 IGD subjects were collected while they were performing an event-related cue reactivity task in the fMRI scanner. The results showed that the IGD subjects were associated with enhanced activation in the left orbitofrontal cortex (OFC) and decreased activation in the right anterior cingulate cortex (ACC), right precuneus, left precentral gyrus and right postcentral gyrus in comparison with the RGU subjects. OFC is involved in reward evaluation and ACC is implicated in executive control function based on previous researches. Moreover, the activation of OFC were correlated with the desire for game-playing. Thus, the higher activation in OFC might suggests high desire for game playing, and the lower activation in ACC might indicates impaired ability in inhibiting the urge to gaming-related stimuli in IGD subjects. Additionally, decreased activation in the precuneus, the precentral and postcentral gyrus may suggest the deficit in disentangling from game-playing stimuli. These findings explain why IGD subjects develop dependence on game-playing while RGU subjects can play online games recreationally and prevent the transition from voluntary game-playing to eventually IGD.
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Affiliation(s)
- Lingxiao Wang
- Department of Psychology, Zhejiang Normal UniversityJinhua, China.,CAS Key Laboratory of Behavioral Science, Institute of PsychologyBeijing, China.,Department of Psychology, University of Chinese Academy of SciencesBeijing, China
| | - Lingdan Wu
- Department of Psychology, University of KonstanzKonstanz, Germany
| | - Yifan Wang
- Department of Psychology, Zhejiang Normal UniversityJinhua, China
| | - Hui Li
- Department of Psychology, Zhejiang Normal UniversityJinhua, China
| | - Xiaoyue Liu
- Department of Psychology, Zhejiang Normal UniversityJinhua, China
| | - Xiaoxia Du
- Shanghai Key Laboratory of Magnetic Resonance, Department of Physics, East China Normal UniversityShanghai, China
| | - Guangheng Dong
- Department of Psychology, Zhejiang Normal UniversityJinhua, China.,Institute of Psychological and Brain Sciences, Zhejiang Normal UniversityJinhua, China
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47
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Liu L, Xue G, Potenza MN, Zhang JT, Yao YW, Xia CC, Lan J, Ma SS, Fang XY. Dissociable neural processes during risky decision-making in individuals with Internet-gaming disorder. Neuroimage Clin 2017; 14:741-749. [PMID: 28413776 PMCID: PMC5385591 DOI: 10.1016/j.nicl.2017.03.010] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Revised: 03/05/2017] [Accepted: 03/24/2017] [Indexed: 12/21/2022]
Abstract
Risk-taking is purported to be central to addictive behaviors. However, for Internet gaming disorder (IGD), a condition conceptualized as a behavioral addiction, the neural processes underlying impaired decision-making (risk evaluation and outcome processing) related to gains and losses have not been systematically investigated. Forty-one males with IGD and 27 healthy comparison (HC) male participants were recruited, and the cups task was used to identify neural processes associated with gain- and loss-related risk- and outcome-processing in IGD. During risk evaluation, the IGD group, compared to the HC participants, showed weaker modulation for experienced risk within the bilateral dorsolateral prefrontal cortex (DLPFC) (t = - 4.07; t = - 3.94; PFWE < 0.05) and inferior parietal lobule (IPL) (t = - 4.08; t = - 4.08; PFWE < 0.05) for potential losses. The modulation of the left DLPFC and bilateral IPL activation were negatively related to addiction severity within the IGD group (r = - 0.55; r = - 0.61; r = - 0.51; PFWE < 0.05). During outcome processing, the IGD group presented greater responses for the experienced reward within the ventral striatum, ventromedial prefrontal cortex, and orbitofrontal cortex (OFC) (t = 5.04, PFWE < 0.05) for potential gains, as compared to HC participants. Within the IGD group, the increased reward-related activity in the right OFC was positively associated with severity of IGD (r = 0.51, PFWE < 0.05). These results provide a neurobiological foundation for decision-making deficits in individuals with IGD and suggest an imbalance between hypersensitivity for reward and weaker risk experience and self-control for loss. The findings suggest a biological mechanism for why individuals with IGD may persist in game-seeking behavior despite negative consequences, and treatment development strategies may focus on targeting these neural pathways in this population.
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Affiliation(s)
- Lu Liu
- Institute of Developmental Psychology, Beijing Normal University, Beijing 100875, China
| | - Gui Xue
- State Key Laboratory of Cognitive Neuroscience, Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
- Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China
| | - Marc N. Potenza
- Departments of Psychiatry and Neuroscience, the Child Study Center, the National Center on Addiction and Substance Abuse, Yale University School of Medicine, New Haven, CT 06519, USA
- Connecticut Mental Health Center, New Haven, CT 06519, USA
| | - Jin-Tao Zhang
- State Key Laboratory of Cognitive Neuroscience, Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Yuan-Wei Yao
- State Key Laboratory of Cognitive Neuroscience, Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Cui-Cui Xia
- Institute of Developmental Psychology, Beijing Normal University, Beijing 100875, China
- Students Counseling Center, Beijing Normal University, Beijing 100875, China
| | - Jing Lan
- Institute of Developmental Psychology, Beijing Normal University, Beijing 100875, China
| | - Shan-Shan Ma
- State Key Laboratory of Cognitive Neuroscience, Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Xiao-Yi Fang
- Institute of Developmental Psychology, Beijing Normal University, Beijing 100875, China
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48
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Yao YW, Chen PR, Li CSR, Hare TA, Li S, Zhang JT, Liu L, Ma SS, Fang XY. Combined reality therapy and mindfulness meditation decrease intertemporal decisional impulsivity in young adults with Internet gaming disorder. COMPUTERS IN HUMAN BEHAVIOR 2017. [DOI: 10.1016/j.chb.2016.11.038] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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49
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Weinstein A, Livny A, Weizman A. New developments in brain research of internet and gaming disorder. Neurosci Biobehav Rev 2017; 75:314-330. [PMID: 28193454 DOI: 10.1016/j.neubiorev.2017.01.040] [Citation(s) in RCA: 152] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Revised: 01/22/2017] [Accepted: 01/29/2017] [Indexed: 12/30/2022]
Abstract
There is evidence that the neural mechanisms underlying Internet Gaming Disorder (IGD) resemble those of drug addiction. Functional Magnetic Resonance Imaging (fMRI) studies of the resting state and measures of gray matter volume have shown that Internet game playing was associated with changes to brain regions responsible for attention and control, impulse control, motor function, emotional regulation, sensory-motor coordination. Furthermore, Internet game playing was associated with lower white matter density in brain regions that are involved in decision-making, behavioral inhibition and emotional regulation. Videogame playing involved changes in reward inhibitory mechanisms and loss of control. Structural brain imaging studies showed alterations in the volume of the ventral striatum that is an important part of the brain's reward mechanisms. Finally, videogame playing was associated with dopamine release similar in magnitude to those of drugs of abuse and lower dopamine transporter and dopamine receptor D2 occupancy indicating sub-sensitivity of dopamine reward mechanisms.
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Affiliation(s)
- Aviv Weinstein
- Dept. of Behavioral Science and the Integrative Cognition and Brain Center, University of Ariel, Science Park, Ariel 40700, Israel.
| | - Abigail Livny
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Israel
| | - Abraham Weizman
- Research Unit, Geha Mental Health Center, Beilinson Campus, P.O. Box 102, Petah Tiqva 49 100. Israel
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50
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Wang Y, Hu Y, Xu J, Zhou H, Lin X, Du X, Dong G. Dysfunctional Prefrontal Function Is Associated with Impulsivity in People with Internet Gaming Disorder during a Delay Discounting Task. Front Psychiatry 2017; 8:287. [PMID: 29326612 PMCID: PMC5733533 DOI: 10.3389/fpsyt.2017.00287] [Citation(s) in RCA: 26] [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] [Received: 08/14/2017] [Accepted: 12/01/2017] [Indexed: 12/17/2022] Open
Abstract
Internet gaming disorder (IGD), defined as the persistent use of online games with ignorance of adverse consequences, has increasingly raised widespread public concerns. This study aimed at elucidating the precise mechanisms underlying IGD by comparing intertemporal decision-making process between 18 IGD participants and 21 matched healthy controls (HCs). Both behavioral and fMRI data were recorded from a delay discounting task. At the behavioral level, the IGD showed a higher discount rate k than HC; and in IGD group, both the reaction time (delay - immediate) and the discount rate k were significantly positively correlated with the severity of IGD. At the neural level, the IGD exhibited reduced brain activations in the dorsolateral prefrontal cortex and bilateral inferior frontal gyrus compared to HC during performing delay trials relative to immediate ones. Taken together, the results suggested that IGD showed deficits in making decisions and tended to pursuit immediate satisfaction. The underlying mechanism arises from the deficient ability in evaluating between delayed reward and immediate satisfaction, and the impaired ability in impulse inhibition, which may be associated with the dysfunction of the prefrontal activation. These might be the reason why IGD continue playing online games in spite of facing severe negative consequences.
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Affiliation(s)
- Yifan Wang
- Department of Psychology, Zhejiang Normal University, Jinhua, China.,School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Yanbo Hu
- Department of Psychology, London Metropolitan University, London, United Kingdom
| | - Jiaojing Xu
- School of Psychology, Southwest University, Chongqing, China
| | - Hongli Zhou
- Department of Psychology, Zhejiang Normal University, Jinhua, China
| | - Xiao Lin
- Peking-Tsinghua Center for Life Science, Peking University, Beijing, China
| | - Xiaoxia Du
- Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Guangheng Dong
- Department of Psychology, Zhejiang Normal University, Jinhua, China.,Institute of Psychological and Brain Sciences, Zhejiang Normal University, Jinhua, China
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