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Skok K, Waszkiewicz N. Biomarkers of Internet Gaming Disorder-A Narrative Review. J Clin Med 2024; 13:5110. [PMID: 39274323 PMCID: PMC11396063 DOI: 10.3390/jcm13175110] [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: 06/20/2024] [Revised: 08/14/2024] [Accepted: 08/22/2024] [Indexed: 09/16/2024] Open
Abstract
Since game mechanics and their visual aspects have become more and more addictive, there is concern about the growing prevalence of Internet gaming disorder (IGD). In the current narrative review, we searched PubMed and Google Scholar databases for the keywords "igd biomarker gaming" and terms related to biomarker modalities. The biomarkers we found are grouped into several categories based on a measurement method and are discussed in the light of theoretical addiction models (tripartite neurocognitive model, I-PACE). Both theories point to gaming-related problems with salience and inhibition. The first dysfunction makes an individual more susceptible to game stimuli (raised reward seeking), and the second negatively impacts resistance to these stimuli (decreased cognitive control). The IGD patients' hypersensitivity to reward manifests mostly in ventral striatum (VS) measurements. However, there is also empirical support for a ventral-to-dorsal striatal shift and transition from goal-directed to habitual behaviors. The deficits in executive control are demonstrated in parameters related to the prefrontal cortex (PFC), especially the dorsolateral prefrontal cortex (DLPFC). In general, the connection of PFC with reward under cortex nuclei seems to be dysregulated. Other biomarkers include reduced P3 amplitudes, high-frequency heart rate variability (HRV), and the number of eye blinks and saccadic eye movements during the non-resting state. A few studies propose a diagnostic (multimodal) model of IGD. The current review also comments on inconsistencies in findings in the nucleus accumbens (NAcc), anterior cingulate cortex (ACC), and precuneus and makes suggestions for future IGD studies.
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Affiliation(s)
- Katarzyna Skok
- Faculty of Education, University of Bialystok, ul. Świerkowa 20, 15-328 Bialystok, Poland
| | - Napoleon Waszkiewicz
- Department of Psychiatry, Medical University of Bialystok, pl. Wołodyjowskiego 2, 15-272 Bialystok, Poland
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Hammad MA, Al-Shahrani HF. Impulsivity and aggression as risk factors for internet gaming disorder among university students. Sci Rep 2024; 14:3712. [PMID: 38355642 PMCID: PMC10867029 DOI: 10.1038/s41598-024-53807-5] [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: 09/12/2023] [Accepted: 02/05/2024] [Indexed: 02/16/2024] Open
Abstract
Internet gaming addiction is a global problem, especially among young individuals. Exhibiting characteristics similar to other addictions, Internet Gaming Disorder (IGD) is linked to adverse mental health outcomes. Identified as risk factors for dependence behaviors, the association of impulsivity and aggression with IGD is relatively under-researched in the student population. The present sample of 350 university students (Mage = 21.30 years, SDage = 4.96 years) from Najran university in Saudi Arabia completed an online questionnaire that included the Internet Gaming Disorder Scale-Short-Form (IGDS9-SF), the Buss-Perry Aggression Questionnaire-Short Form, and the Barratt Impulsiveness Scale (BIS-15). Results indicated that impulsivity and aggression were positively associated with IGD severity and both personality traits explained 34.6% of the variance in IGD scores. Further bivariate analyses suggested that individuals spending 7 or more hours on internet gaming were more likely to exhibit high impulsivity and aggression, and had a relatively higher severity of IGD. These results suggest that individuals with these personality traits may be more vulnerable to developing an addiction to internet gaming. These findings need to be confirmed in future more robust studies; however, this exploratory study provides insights for potential programs to prevent IGD among young individuals.
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Affiliation(s)
| | - Hend Faye Al-Shahrani
- Department of Social Work, College of Humanities and Social Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Kingdom of Saudi Arabia
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3
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Parsons TD. High-dimensional Metaverse Platforms and the Virtually Extended Self. J Cogn 2024; 7:2. [PMID: 38223229 PMCID: PMC10785999 DOI: 10.5334/joc.327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 10/17/2023] [Indexed: 01/16/2024] Open
Abstract
The study of cognition has traditionally used low-dimensional measures and stimulus presentations that emphasize laboratory control over high-dimensional (i.e., ecologically valid) tools that reflect the activities and interactions in everyday living. Although controlled experimental presentations in laboratories have enhanced our understanding of cognition for both healthy and clinical cohorts, high dimensionality may extend reality and cognition. High-dimensional Metaverse approaches use extended reality (XR) platforms with dynamic stimulus presentations that couple humans and simulation technologies to extend cognition. The plan for this paper is as follows: The "Extending from low to high-dimensional studies of cognition" section discusses current needs for high-dimensional stimulus presentations that reflect everyday cognitive activities. In the "Algorithmic devices and digital extension of cognition" section, technologies of the extended mind are introduced with the Metaverse as a candidate cognitive process for extension. Next, in the "A neurocognitive framework for understanding technologies of the extended mind" section, a framework and model are proposed for understanding the neural correlates of human technology couplings in terms of automatic algorithmic processes (limbic-ventral striatal loop); reflective cognition (prefrontal-dorsal striatal loop); and algorithmic processing (insular cortex). The algorithmic processes of human-technology interactions can, over time, become an automated and algorithmic coupling of brain and technology. The manuscript ends with a brief summary and discussion of the ways in which the Metaverse can be used for studying how persons respond to high-dimensional stimuli in simulations that approximate real-world activities and interactions.
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Affiliation(s)
- Thomas D. Parsons
- Grace Center, Edson College, Arizona State University, Tempe, AZ, US
- Computational Neuropsychology & Simulation (CNS) Lab, Arizona State University, Tempe, AZ, US
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Long K, Zhang X, Wang N, Lei H. Heart Rate Variability during Online Video Game Playing in Habitual Gamers: Effects of Internet Addiction Scale, Ranking Score and Gaming Performance. Brain Sci 2023; 14:29. [PMID: 38248244 PMCID: PMC10813724 DOI: 10.3390/brainsci14010029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 12/14/2023] [Accepted: 12/23/2023] [Indexed: 01/23/2024] Open
Abstract
Previous studies have demonstrated that individuals with internet gaming disorder (IGD) display abnormal autonomic activities at rest and during gameplay. Here, we examined whether and how in-game autonomic activity is modulated by human characteristics and behavioral performance of the player. We measured heart rate variability (HRV) in 42 male university student habitual gamers (HGs) when they played a round of League of Legends game online. Short-term HRV indices measured in early, middle and late phases of the game were compared between the players at high risk of developing IGD and those at low risk, as assessed by the revised Chen Internet addiction scale (CIAS-R). Multiple linear regression (MLR) was used to identify significant predictors of HRV measured over the whole gameplay period (WG), among CIAS-R, ranking score, hours of weekly playing and selected in-game performance parameters. The high-risk players showed a significantly higher low-frequency power/high-frequency power ratio (LF/HF) relative to the low-risk players, regardless of game phase. MLR analysis revealed that LF/HF measured in WG was predicted by, and only by, CIAS-R. The HRV indicators of sympathetic activity were found to be predicted only by the number of slain in WG (NSlain), and the indicators of parasympathetic activity were predicted by both CIAS-R and NSlain. Collectively, the results demonstrated that risk of developing IGD is associated with dysregulated autonomic balance during gameplay, and in-game autonomic activities are modulated by complex interactions among personal attributes and in-game behavioral performance of the player, as well as situational factors embedded in game mechanics.
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Affiliation(s)
- Kehong Long
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China; (K.L.); (X.Z.); (N.W.)
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Xuzhe Zhang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China; (K.L.); (X.Z.); (N.W.)
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Ningxin Wang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China; (K.L.); (X.Z.); (N.W.)
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Hao Lei
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430071, China; (K.L.); (X.Z.); (N.W.)
- University of Chinese Academy of Sciences, Beijing 100190, China
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
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Tian MY, Zhou XY, Liao XY, Gong K, Cheng XT, Qin C, Liu KZ, Chen J, Lei W. Brain structural alterations in internet gaming disorder: Focus on the mesocorticolimbic dopaminergic system. Prog Neuropsychopharmacol Biol Psychiatry 2023; 127:110806. [PMID: 37271367 DOI: 10.1016/j.pnpbp.2023.110806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 05/08/2023] [Accepted: 05/30/2023] [Indexed: 06/06/2023]
Abstract
AIMS This study aimed to identify gray/white matter volume (GMV/WMV) alterations in Internet Gaming Disorder (IGD), with a special focus on the subregions of the mesocorticolimbic dopaminergic system and their clinical association. RESULTS Compared with healthy controls, IGDs showed bigger GMV in the bilateral caudate and the left nucleus accumbens (NAc), and bigger WMV in the inferior parietal lobule. The comparison of regions of interest (ROI) confirmed increased GMV in the bilateral caudate (including the dorsal anterior, body, and tail) and the left core of NAc in IGD, but no significant WMV alterations in the mesocorticolimbic dopaminergic system. GMVs in the left lateral orbital gyrus of orbitofrontal cortex (OFC) were associated with craving for games, while GMVs in the left anterior insula, right NAc, right caudate, and right OFC were associated with self-control in IGD. CONCLUSIONS IGD was accompanied by changed GMV, but not WMV, in the mesocorticolimbic dopaminergic system. GMV in the mesocorticolimbic dopaminergic system may contribute to impaired self-control and craving in IGD.
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Affiliation(s)
- Ming-Yuan Tian
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Nuclear Industry 416 Hospital, the 2nd Affiliated Hospital of Chengdu Medical College, Chengdu, China
| | - Xin-Yi Zhou
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Xiao-Yuan Liao
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Ke Gong
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Xiao-Tong Cheng
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Cheng Qin
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Ke-Zhi Liu
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jing Chen
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
| | - Wei Lei
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
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Sun JT, Hu B, Chen TQ, Chen ZH, Shang YX, Li YT, Wang R, Wang W. Internet addiction-induced brain structure and function alterations: a systematic review and meta-analysis of voxel-based morphometry and resting-state functional connectivity studies. Brain Imaging Behav 2023; 17:329-342. [PMID: 36899209 DOI: 10.1007/s11682-023-00762-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2023] [Indexed: 03/12/2023]
Abstract
Internet addiction (IA) is a growing social concern and has been intensively studied in recent years. Previous imaging studies have shown that IA may impair brain structure and function, but with no robust conclusions. We conducted a systematic review and meta-analysis of neuroimaging studies in IA. Two separate meta-analyses were conducted for voxel-based morphometry (VBM) studies and resting-state functional connectivity (rsFC) studies. All meta-analyses were performed using two analysis methods activation likelihood estimation (ALE) and seed-based d mapping with permutation of subject images (SDM-PSI). The ALE analysis of VBM studies revealed less gray matter volume (GMV) in the supplementary motor area (SMA) (1176 mm3), anterior cingulate cortex (ACC) (one cluster size is 744 mm3 and the other is 688 mm3), and orbitofrontal cortex (OFC) (624 mm3) in subjects with IA. The SDM-PSI analysis showed less GMV in the ACC (56 voxels). The ALE analysis of rsFC studies showed stronger rsFC from posterior cingulate cortex (PCC) (880 mm3) or insula (712 mm3) to the whole brain in subjects with IA; however, the SDM-PSI analysis revealed no obvious rsFC alteration. These changes may underlie the core symptoms of IA, which include emotional regulation disorder, distraction, and impaired executive control. Our results reflect the common features of neuroimaging studies related to IA in recent years and may potentially help inform the development of more effective diagnostic and treatment approaches.
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Affiliation(s)
- Jing-Ting Sun
- Department of Medical Technology, Middle section of Century Avenue, Shaanxi University of Chinese Medicine, 712046, Xianyang, Shaanxi, China.,Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University, 569 Xinsi Road, 710038, Xi'an, Shaanxi, China
| | - Bo Hu
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University, 569 Xinsi Road, 710038, Xi'an, Shaanxi, China
| | - Tian-Qi Chen
- Institute of basic medicine, Fourth Military Medical University (Air Force Medical University, 169 Changle Road, 710032, Xi'an, Shaanxi, China
| | - Zhu-Hong Chen
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University, 569 Xinsi Road, 710038, Xi'an, Shaanxi, China
| | - Yu-Xuan Shang
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University, 569 Xinsi Road, 710038, Xi'an, Shaanxi, China
| | - Yu-Ting Li
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University, 569 Xinsi Road, 710038, Xi'an, Shaanxi, China
| | - Rui Wang
- Military medical center, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University, 569 Xinsi Road, 710038, Xi'an, Shaanxi, China.
| | - Wen Wang
- Department of Medical Technology, Middle section of Century Avenue, Shaanxi University of Chinese Medicine, 712046, Xianyang, Shaanxi, China. .,Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University (Air Force Medical University, 569 Xinsi Road, 710038, Xi'an, Shaanxi, China.
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7
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Wang ZL, Potenza MN, Song KR, Dong GH, Fang XY, Zhang JT. Subgroups of internet gaming disorder based on addiction-related resting-state functional connectivity. Addiction 2023; 118:327-339. [PMID: 36089824 DOI: 10.1111/add.16047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 08/31/2022] [Indexed: 01/05/2023]
Abstract
AIMS To identify subgroups of people with internet gaming disorder (IGD) based on addiction-related resting-state functional connectivity and how these subgroups show different clinical correlates and responses to treatment. DESIGN Secondary analysis of two functional magnetic resonance imaging (fMRI) data sets. SETTING Zhejiang province and Beijing, China. PARTICIPANTS One hundred and sixty-nine IGD and 147 control subjects. MEASUREMENTS k-Means algorithmic and support-vector machine-learning approaches were used to identify subgroups of IGD subjects. These groups were examined with respect to assessments of craving, behavioral activation and inhibition, emotional regulation, cue-reactivity and guessing-related measures. FINDINGS Two groups of subjects with IGD were identified and defined by distinct patterns of connectivity in brain networks previously implicated in addictions: subgroup 1 ('craving-related subgroup') and subgroup 2 ('mixed psychological subgroup'). Clustering IGD on this basis enabled the development of diagnostic classifiers with high sensitivity and specificity for IGD subgroups in 10-fold validation (n = 218) and out-of-sample replication (n = 98) data sets. Subgroup 1 is characterized by high craving scores, cue-reactivity during fMRI and responsiveness to a craving behavioral intervention therapy. Subgroup 2 is characterized by high craving, behavioral inhibition and activations scores, non-adaptive emotion-regulation strategies and guessing-task fMRI measures. Subgroups 1 and 2 showed largely opposite functional-connectivity patterns in overlapping networks. CONCLUSIONS There appear to be two subgroups of people with internet gaming disorder, each associated with differing patterns of brain functional connectivity and distinct clinical symptom profiles and gender compositions.
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Affiliation(s)
- Zi-Liang Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.,IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Marc N Potenza
- Department of Psychiatry and Child Study Center, Yale University School of Medicine, New Haven, CT, USA.,Connecticut Council on Problem Gambling, Wethersfield, CT, USA.,Connecticut Mental Health Center, New Haven, CT, USA.,Department of Neuroscience and Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Kun-Ru Song
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.,IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China
| | - Xiao-Yi Fang
- Institute of Developmental Psychology, Beijing Normal University, Beijing, China
| | - Jin-Tao Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.,IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
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Qin J, Wang S, Ni H, Wu Y, Chen L, Guo S, Zhang F, Zhou Z, Tian L. Graph analysis of diffusion tensor imaging-based connectome in young men with internet gaming disorder. Front Neurosci 2023; 16:1090224. [PMID: 36798605 PMCID: PMC9926964 DOI: 10.3389/fnins.2022.1090224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 12/29/2022] [Indexed: 01/31/2023] Open
Abstract
Although recent evidence suggests that dysfunctional brain organization is associated with internet gaming disorder (IGD), the neuroanatomical alterations related to IGD remain unclear. In this diffusion tensor imaging (DTI) study, we aimed to examine alterations in white matter (WM) structural connectomes and their association with IGD characteristics in 47 young men with IGD and in 34 well-matched healthy controls. Two approaches [namely, network-based statistics (NBS) and graph theoretical measures] were applied to assess differences in the specific topological features of the networks and to identify the potential changes in the topological properties, respectively. Furthermore, we explored the association between the alterations and the severity of internet addiction. An NBS analysis revealed widespread alterations of the cortico-limbic-striatal structural connectivity networks in young people with IGD: (1) an increased subnet1 comprising the insula and the regions responsible for visual, auditory, and sensorimotor functions and (2) two decreased subnet2 and subnet3 comprising the insula, striatum, and limbic regions. Additional correlation analysis showed a significant positive association between the mean fractional anisotropy- (FA-) weighted connectivity strength of subnet1 and internet addiction test (IAT) scores in the IGD group. The present study extends our knowledge of the neuroanatomical correlates in IGD and highlights the role of the cortico-limbic-striatal network in understanding the neurobiological mechanisms underlying this disorder.
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Affiliation(s)
- Jiaolong Qin
- PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China,Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
| | - Shuai Wang
- The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, China,School of Wuxi Medicine, Nanjing Medical University, Wuxi, China
| | - Huangjing Ni
- School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Ye Wu
- PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China,Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
| | - Limin Chen
- The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, China
| | - Shuaiyi Guo
- School of Wuxi Medicine, Nanjing Medical University, Wuxi, China
| | - Fuquan Zhang
- The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zhenhe Zhou
- The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, China,School of Wuxi Medicine, Nanjing Medical University, Wuxi, China
| | - Lin Tian
- The Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, China,School of Wuxi Medicine, Nanjing Medical University, Wuxi, China,*Correspondence: Lin Tian,
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Liu JL, Sun JT, Hu HL, Wang HY, Kang YX, Chen TQ, Chen ZH, Shang YX, Li YT, Hu B, Liu R. Structural and Functional Neural Alterations in Internet Addiction: A Study Protocol for Systematic Review and Meta-Analysis. Psychiatry Investig 2023; 20:69-74. [PMID: 36721888 PMCID: PMC9890045 DOI: 10.30773/pi.2021.0383] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 07/04/2022] [Indexed: 01/26/2023] Open
Abstract
A growing number of neuroimaging studies have revealed abnormal brain structural and functional alterations in subjects with internet addiction (IA), however, with conflicting conclusions. We plan to conduct a systematic review and meta-analysis on the studies of voxelbased morphometry (VBM) and resting-state functional connectivity (rsFC), to reach a consolidated conclusion and point out the future direction in this field. A comprehensive search of rsFC and VBM studies of IA will be conducted in the PubMed, Cochrane Library, and Web of Science databases to retrieve studies published from the inception dates to August 2021. If the extracted data are feasible, activation likelihood estimation and seed-based d mapping methods will be used to meta-analyze the brain structural and functional changes in IA patients. This study will hopefully reach a consolidated conclusion on the impact of IA on human brain or point out the future direction in this field.
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Affiliation(s)
- Jun-Li Liu
- Xi'an Technological University, Xi'an, China
| | - Jing-Ting Sun
- Shaanxi University of Chinese Medicine, Xianyang, China.,Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Hui-Lin Hu
- Arizona State University, Tempe, AZ, USA
| | | | - Yun-Xi Kang
- Xi'an Technological University, Xi'an, China
| | - Tian-Qi Chen
- Institution of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Zhu-Hong Chen
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Yu-Xuan Shang
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Yu-Ting Li
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Bo Hu
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Rui Liu
- Department of Rehabilitation, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
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10
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Dong H, Zheng H, Wang M, Ye S, Dong GH. The unbalanced behavioral activation and inhibition system sensitivity in internet gaming disorder: Evidence from resting-state Granger causal connectivity analysis. Prog Neuropsychopharmacol Biol Psychiatry 2022; 119:110582. [PMID: 35661790 DOI: 10.1016/j.pnpbp.2022.110582] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 05/05/2022] [Accepted: 05/28/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND Patients with behavioral or substance addiction show an unbalanced behavioral activation system (BAS) and behavioral inhibition system (BIS) sensitivity. However, the relationship between internet gaming disorder (IGD) and BAS/BIS is obscure and the neurobiological mechanism underlying this relationship remains unclear. METHODS We recruited 154 IGDs and 229 recreational game users (RGUs) in the current study. First, we explored the relationship between BAS/BIS and IGD. Second, subjects were subdivided into subgroups by BAS/BIS sensitivity. Third, whole-brain Granger causal connectivity (GCC) of striatum and amygdala subdivisions was estimated for the subgroup. Fourth, mediation analysis was performed to explore the role of connectivity in the relationship between IGD and BAS/BIS sensitivity. RESULTS We found the IGD group scored higher than the RGU on BIS and BASf (fun-seeking) sensitivity. Then, we identified 4 (2*2) subgroups: low/high risk of IGD with low/high BAS/BIS sensitivity groups. Two-way ANCOVA main results of interaction effects showed that in the high BAS/BIS group, the RGU exhibited increased strength in the GCC from the left putamen to the right cuneus, and the IGD exhibited decreased strength in the GCC from the right medial frontal gyrus to the caudate, from the left superior frontal gyrus to the centromedial amygdala, and from the right superior parietal lobule to the left laterobasal amygdala. Moreover, the GCC from the centromedial amygdala to the middle frontal gyrus mediated the directional relationship between BIS and IAT (Young's internet addiction test) scores. CONCLUSIONS The IGD individuals exhibited higher BIS and BAS-fun seeking sensitivity. Moreover, IGD with unbalanced BAS/BIS sensitivity exhibited alternative connectivity patterns involving amygdala and striatum subdivisions. These findings suggest a neurobiological mechanism for an alternation between IGD and RGU with different BAS/BIS sensitivity.
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Affiliation(s)
- Haohao Dong
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Wang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
| | - Shuer Ye
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China; Institute of Psychological Science, Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China.
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11
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Ye S, Wang M, Yang Q, Dong H, Dong GH. Predicting the severity of internet gaming disorder with resting-state brain features: A multi-voxel pattern analysis. J Affect Disord 2022; 318:113-122. [PMID: 36031000 DOI: 10.1016/j.jad.2022.08.078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 06/09/2022] [Accepted: 08/22/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Internet gaming disorder (IGD) has become a worldwide mental health concern; however, the neural mechanism underlying this disorder remains unclear. Multivoxel pattern analysis (MVPA), a newly developed data-driven approach, can be used to investigate the neural features of IGD based on massive neural data. METHODS Resting-state fMRI data from four hundred and two participants with varying levels of IGD severity were recruited. Regional homogeneity (ReHo) and the amplitude of low-frequency fluctuation (ALFF) were calculated and subsequently decoded by applying MVPA. The highly weighted regions in both predictive models were selected as regions of interest for further graph theory and Granger causality analysis (GCA) to explore how they affect IGD severity. RESULTS The results revealed that the neural patterns of ReHo and ALFF can independently and significantly predict IGD severity. The highly weighted regions that contributed to both predictive models were the right precentral gyrus and left postcentral gyrus. Moreover, topological properties of the right precentral gyrus were significantly correlated with IGD severity; further GCA revealed effective connectivity from the right precentral gyrus to left precentral gyrus and dorsal anterior cingulate cortex, both of which were significantly associated with IGD severity. CONCLUSIONS The present study demonstrated that IGD has distinctive neural patterns, and this pattern could be found by machine learning. In addition, the neural features in the right precentral gyrus play a key role in predicting IGD severity. The current study revealed the neural features of IGD and provided a potential target for IGD interventions using brain modulation.
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Affiliation(s)
- Shuer Ye
- Department of Psychology, Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, PR China; Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China; Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - Min Wang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
| | - Qun Yang
- Department of Psychology, Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, PR China.
| | - Haohao Dong
- Department of Psychology, Zhejiang Normal University, Jinhua, PR China
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China.
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12
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Costes JM, Bonnaire C. Spending Money in Free-to-Play Games: Sociodemographic Characteristics, Motives, Impulsivity and Internet Gaming Disorder Specificities. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15709. [PMID: 36497782 PMCID: PMC9737990 DOI: 10.3390/ijerph192315709] [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: 10/04/2022] [Revised: 11/22/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
Free-to-Play games (F2P) have spread widely all over the world in recent years. The current economic model for these games is based on microtransactions, where gamers can purchase additional items or services inside the game. The aim of the present study was (1) to describe the profiles and gaming patterns of F2P gamers, and (2) to compare F2P gamers who spend money and those who do not, in terms of sociodemographic characteristics, gaming experience, motivations, impulsivity, and risk of Internet gaming disorder (IGD), in a representative sample of 5062 French online gamers. Among the total sample, 68.6% were past-year F2P gamers. Among the F2P gamers, 26.1% had spent money in the game. Spending in the game was strongly associated with IGD (6.9% of F2P gamers were disordered gamers). Flow (gaming experience) and escape (motivation) were strongly associated with spending in the game and IGD. Negative urgency (impulsivity) was positively associated with spending in the game while positive urgency was positively associated with IGD. Given the strong association between spending in the game and IGD, these results highlight the importance of prevention and regulation in the field.
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Affiliation(s)
- Jean-Michel Costes
- Research Chair on Gambling, Concordia University, 2070 Mackay Street, 3rd Floor, Montreal, QC H3G 2J1, Canada
| | - Céline Bonnaire
- Laboratoire de Psychopathologie et Processus de Santé, Université Paris Cité, F-92100 Boulogne-Billancourt, France
- “Consultation Jeunes Consommateurs”, Centre Pierre Nicole, Croix-Rouge Française, F-75005 Paris, France
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13
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Peng W, Hao Q, Gao H, Wang Y, Wang J, Tu Y, Yu S, Li H, Zhu T. Functional Neural Alterations in Pathological Internet Use: A Meta-Analysis of Neuroimaging Studies. Front Neurol 2022; 13:841514. [PMID: 35518207 PMCID: PMC9062178 DOI: 10.3389/fneur.2022.841514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/28/2022] [Indexed: 11/24/2022] Open
Abstract
Previous resting-state functional MRI (fMRI) studies found spontaneous neural activity in the brains of Pathological Internet Use (PIU) subjects. However, the findings were inconsistent in studies using different neuroimaging analyses. This meta-analytic study aimed to identify a common pattern of altered brain activity from different studies. Resting-state fMRI studies, based on whole-brain analysis methods published before July 1, 2021, were searched in multiple databases (PubMed, EMBASE, MEDLINE, and Web of Science). A voxel-based signed differential mapping (SDM) method was used to clarify brain regions, which showed anomalous activity in PIU subjects compared with healthy controls (HCs). Ten eligible publications consisting of 306 PIU subjects and 314 HCs were included in the SDM meta-analysis. Compared with HCs, subjects with PIU showed increased spontaneous neural functional activity in the left temporal pole of the superior temporal cortex, left amygdala, bilateral median cingulate cortex, and right insula. Meanwhile, a decreased spontaneous neural activity was identified in the left dorsolateral superior frontal gyrus and right middle frontal gyrus in the subjects with PIU. These abnormal brain regions are associated with cognitive executive control and emotional regulation. The consistent changes under different functional brain imaging indicators found in our study may provide important targets for the future diagnosis and intervention of PIU. Systematic Review Registration:www.crd.york.ac.uk/PROSPERO, identifier: CRD42021258119.
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Affiliation(s)
- Wei Peng
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qinghong Hao
- School of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Heng Gao
- Medical Quality Control Department, Chengdu Seventh People's Hospital, Chengdu, China
| | - Yang Wang
- College of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China
| | - Jun Wang
- School of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yang Tu
- School of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Siyi Yu
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Hui Li
- School of Preclinical Medicine, Chengdu University, Chengdu, China
| | - Tianmin Zhu
- School of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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14
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Lu J, Xie J, Chen J, Zeng Y, Jiang Z, Wang Y, Zheng H. More utilitarian judgment in Internet addiction? An exploration using process dissociation and the CNI model. Brain Behav 2022; 12:e2510. [PMID: 35114077 PMCID: PMC8933780 DOI: 10.1002/brb3.2510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 12/12/2021] [Accepted: 01/11/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Internet addiction (IA), which is disadvantageous for decision making, such as moral judgment, is a pernicious threat to contemporary societies. However, few studies consider social cognition abilities as an important variable in IA. OBJECTIVES This study explores the psychological mechanism of IA facing the moral dilemma. METHODS Forty participants with IA and 89 healthy participants were recruited. They finished the Internet Addiction Test and completed the moral judgment task. The process dissociation (PD) method and the consequences, norms, and generalized inaction (CNI) model were used to analyze moral judgment data. RESULTS Compared with the healthy control (HC) group, the traditional analysis showed that the IA group made more utilitarian judgment regarding moral dilemmas. PD analysis showed that the IA group had decreased deontological inclination, without utilitarian inclination. The CNI model further showed that the sensitivity of the IA group to moral rules was significantly lower than that of the HC group, while there was no significant difference between groups in the sensitivity to the consequences and the general preference for action. CONCLUSIONS Individuals with IA make more utilitarian judgment when faced with a moral dilemma, which is related to their weak sensitivity to moral norms.
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Affiliation(s)
- Jianxia Lu
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.,School of Rehabilitation, Jiangsu Vocational College of Medicine, Yancheng, China
| | - Junjie Xie
- School of Psychology, Nanjing Normal University, Nanjing, China
| | - Jin Chen
- School of Rehabilitation, Jiangsu Vocational College of Medicine, Yancheng, China
| | - Yan Zeng
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China
| | - Zhongli Jiang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yunqiang Wang
- School of Psychology, Nanjing Normal University, Nanjing, China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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15
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Wang M, Zeng N, Zheng H, Du X, Potenza MN, Dong GH. Altered effective connectivity from the pregenual anterior cingulate cortex to the laterobasal amygdala mediates the relationship between internet gaming disorder and loneliness. Psychol Med 2022; 52:737-746. [PMID: 32684185 DOI: 10.1017/s0033291720002366] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Individual with internet gaming disorder (IGD) often experience a high level of loneliness, and neuroimaging studies have demonstrated that amygdala function is associated with both IGD and loneliness. However, the neurobiological basis underlying these relationships remains unclear. METHODS In the current study, Granger causal analysis was performed to investigate amygdalar subdivision-based resting-state effective connectivity differences between 111 IGD subjects and 120 matched participants with recreational game use (RGUs). We further correlated neuroimaging findings with clinical measures. Mediation analysis was conducted to explore whether amygdalar subdivision-based effective connectivity mediated the relationship between IGD severity and loneliness. RESULTS Compared with RGUs, IGD subjects showed inhibitory effective connections from the left pregenual anterior cingulate cortex (pACC) to the left laterobasal amygdala (LBA) and from the right medial prefrontal cortex (mPFC) to the left LBA, as well as an excitatory effective connection from the left middle prefrontal gyrus (MFG) to the right superficial amygdala. Further analyses demonstrated that the left pACC-left LBA effective connection was negatively correlated with both Internet Addiction Test and UCLA Loneliness scores, and it mediated the relationship between the two. CONCLUSION IGD subjects and RGUs showed different connectivity patterns involving amygdalar subdivisions. These findings support a neurobiological mechanism for the relationship between IGD and loneliness, and suggest targets for therapeutic approaches that could be used to treat IGD.
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Affiliation(s)
- Min Wang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR, China
| | - Ningning Zeng
- Department of Psychology, Zhejiang Normal University, Jinhua, PR, China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, PR, China
| | - Xiaoxia Du
- Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, PR, China
| | - Marc N Potenza
- Department of Psychiatry and Child Study Center, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University, New Haven, CT, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR, China
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16
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von Deneen KM, Hussain H, Waheed J, Xinwen W, Yu D, Yuan K. Comparison of frontostriatal circuits in adolescent nicotine addiction and internet gaming disorder. J Behav Addict 2022; 11:26-39. [PMID: 35049521 PMCID: PMC9109629 DOI: 10.1556/2006.2021.00086] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 11/08/2021] [Accepted: 12/16/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Recently, there has been significantly increased participation in online gaming and other addictive behaviors particularly in adolescents. Tendencies to avoid social interaction and become more involved in technology-based activities pose the danger of creating unhealthy addictions. Thus, the presence of relatively immature cognitive control and high risk-taking properties makes adolescence a period of major changes leading to an increased rate of emotional disorders and addiction. AIMS The critical roles of frontostriatal circuits in addiction have become the primary focus associated with reward in the striatum and cognitive control in the PFC. Internet gaming disorder (IGD) and nicotine addiction are currently becoming more and more serious. METHODS In the light of neuroimaging, the similarity between brain mechanisms causing substance use disorder (SUD) and IGD have been described in previous literature. RESULTS In particular, two distinct brain systems affect the way we act accounting for uncharacteristic neural function in addiction: the affective system comprises of the striatum driven by emotional, reward-related, and internal stimuli, and a cognitive system consisting of the prefrontal cortex (PFC) supporting the ventral affective system's actions via inhibitory control. DISCUSSION AND CONCLUSION Therefore, as a novel concept, we focused on the implication of frontostriatal circuits in nicotine addiction and IGD by reviewing the main findings from our studies compared to those of others. We hope that all of these neuroimaging findings can lead to effective intervention and treatment for addiction especially during this critical period.
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Affiliation(s)
- Karen M. von Deneen
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, Peoples R China,Corresponding authors. E-mail: (), ,
| | - Hadi Hussain
- Xi'an Jiaotong University, 74 Yanta Street, Yanta District, Xi'an, Shaanxi 710001, Peoples R China
| | - Junaid Waheed
- Xi'an Jiaotong University, 74 Yanta Street, Yanta District, Xi'an, Shaanxi 710001, Peoples R China
| | - Wen Xinwen
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, Peoples R China
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, Peoples R China,Corresponding authors. E-mail: (), ,
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, Peoples R China,Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, Peoples R China,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, Peoples R China,Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, Peoples R China,Corresponding authors. E-mail: (), ,
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17
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Solly JE, Hook RW, Grant JE, Cortese S, Chamberlain SR. Structural gray matter differences in Problematic Usage of the Internet: a systematic review and meta-analysis. Mol Psychiatry 2022; 27:1000-1009. [PMID: 34642454 PMCID: PMC9054652 DOI: 10.1038/s41380-021-01315-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 08/18/2021] [Accepted: 09/22/2021] [Indexed: 12/24/2022]
Abstract
Problematic Usage of the Internet (PUI) has been linked to diverse structural gray matter changes in individual data studies. However, no quantitative synthesis across studies has been conducted. We aimed to identify gray matter regions showing significant spatial convergence across neuroimaging studies in PUI. We searched PubMed and PsycINFO up to 10/03/2021 and included original, cross-sectional comparative studies that examined structural gray matter imaging in PUI versus control groups; reported a whole-brain analysis; and provided peak coordinates for gray matter differences. From a total of 624 potentially relevant studies, 15 (including 355 individuals with PUI and 363 controls) were included in a meta-analysis of voxel-based morphometry studies. Anatomical likelihood estimation (ALE) meta-analysis was performed using extracted coordinates and identified significant spatial convergence in the medial/superior frontal gyri, the left anterior cingulate cortex/cingulate gyrus, and the left middle frontal/precentral gyri. Datasets contributing to these findings all indicated reduced gray matter in cases compared to controls. In conclusion, voxel-based morphometric studies indicate replicable gray matter reductions in the dorsolateral prefrontal cortex and anterior cingulate cortex in PUI, regions implicated in reward processing and top-down inhibitory control. Further studies are required to understand the nature of gray matter differences across PUI behaviors, as well as the contribution of particular mental health disorders, and the influence of variation in study and sample characteristics.
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Affiliation(s)
- Jeremy E. Solly
- grid.24029.3d0000 0004 0383 8386Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK ,grid.5335.00000000121885934Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Roxanne W. Hook
- grid.5335.00000000121885934Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Jon E. Grant
- grid.170205.10000 0004 1936 7822Department of Psychiatry, University of Chicago, Pritzker School of Medicine, Chicago, IL USA
| | - Samuele Cortese
- grid.5491.90000 0004 1936 9297Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK ,grid.5491.90000 0004 1936 9297Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK ,grid.451387.c0000 0004 0491 7174Solent NHS Trust, Southampton, UK ,grid.240324.30000 0001 2109 4251Hassenfeld Children’s Hospital at NYU Langone, New York University Child Study Center, New York City, NY USA ,grid.4563.40000 0004 1936 8868Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
| | - Samuel R. Chamberlain
- grid.5335.00000000121885934Department of Psychiatry, University of Cambridge, Cambridge, UK ,grid.5491.90000 0004 1936 9297Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK ,grid.467048.90000 0004 0465 4159Southern Health NHS Foundation Trust, Southampton, UK ,grid.450563.10000 0004 0412 9303Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
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18
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Fujiwara H, Tsurumi K, Shibata M, Kobayashi K, Miyagi T, Ueno T, Oishi N, Murai T. Life Habits and Mental Health: Behavioural Addiction, Health Benefits of Daily Habits, and the Reward System. Front Psychiatry 2022; 13:813507. [PMID: 35153878 PMCID: PMC8829329 DOI: 10.3389/fpsyt.2022.813507] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 01/05/2022] [Indexed: 11/27/2022] Open
Abstract
In this review, the underlying mechanisms of health benefits and the risk of habitual behaviours such as internet use and media multitasking were explored, considering their associations with the reward/motivation system. The review highlights that several routines that are beneficial when undertaken normally may evolve into excessive behaviour and have a negative impact, as represented by "the inverted U-curve model". This is especially critical in the current era, where technology like the internet has become mainstream despite the enormous addictive risk. The understanding of underlying mechanisms of behavioural addiction and optimal level of habitual behaviours for mental health benefits are deepened by shedding light on some findings of neuroimaging studies to have hints to facilitate better management and prevention strategies of addictive problems. With the evolution of the world, and the inevitable use of some technologies that carry the risk of addiction, more effective strategies for preventing and managing addiction are in more demand than before, and the insights of this study are also valuable foundations for future research.
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Affiliation(s)
- Hironobu Fujiwara
- Department of Neuropsychiatry, Graduate School of Medicine, University of Kyoto, Kyoto, Japan.,Artificial Intelligence Ethics and Society Team, RIKEN Center for Advanced Intelligence Project, Saitama, Japan.,The General Research Division, Osaka University Research Center on Ethical, Legal and Social Issues, Kyoto, Japan
| | - Kosuke Tsurumi
- Department of Neuropsychiatry, Graduate School of Medicine, University of Kyoto, Kyoto, Japan
| | - Mami Shibata
- Department of Neuropsychiatry, Graduate School of Medicine, University of Kyoto, Kyoto, Japan
| | - Kei Kobayashi
- Department of Neuropsychiatry, Graduate School of Medicine, University of Kyoto, Kyoto, Japan
| | - Takashi Miyagi
- Department of Neuropsychiatry, Graduate School of Medicine, University of Kyoto, Kyoto, Japan
| | - Tsukasa Ueno
- Department of Neuropsychiatry, Graduate School of Medicine, University of Kyoto, Kyoto, Japan.,Integrated Clinical Education Center, Kyoto University Hospital, Kyoto, Japan
| | - Naoya Oishi
- Medical Innovation Center, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Toshiya Murai
- Department of Neuropsychiatry, Graduate School of Medicine, University of Kyoto, Kyoto, Japan
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19
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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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20
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Zhang M, Gao X, Yang Z, Wen M, Huang H, Zheng R, Wang W, Wei Y, Cheng J, Han S, Zhang Y. Shared gray matter alterations in subtypes of addiction: a voxel-wise meta-analysis. Psychopharmacology (Berl) 2021; 238:2365-2379. [PMID: 34313804 DOI: 10.1007/s00213-021-05920-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 07/05/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Numerous studies based on voxel-based morphometry (VBM) have revealed gray matter (GM) alterations in multiple brain regions for addiction. However, findings are poorly replicated, and it remains elusive whether distinct diagnoses of addiction are underpinned by shared abnormalities. Our aim was to conduct a quantitative meta-analysis of structural neuroimaging studies investigating GM abnormalities in two main categories of addiction: substance use disorders (SUD) and behavioral addictions (BA). METHOD A systematic database search was conducted in several databases from Jan 1, 2010, to Oct 23, 2020, to identify eligible VBM studies. Meta-analysis was performed with the seed-based d mapping software package to compare alternations between individuals with addiction-related disorders and healthy controls (HC). RESULTS A total of 59 VBM studies including 2096 individuals with addiction-related disorders and 2637 HC met the inclusion criteria. Individuals with addiction-related disorders showed shared GM volume decrease in bilateral prefrontal cortex, bilateral insula, bilateral rolandic operculum, left superior temporal gyrus, and right Heschl gyrus and GM increase in right lingual gyrus and right fusiform gyrus comparing with HC (p < 0.005). Subgroup analysis found heterogeneity between SUD and BA mainly in left inferior occipital gyrus and right striatum (p < 0.005). Meta-regression revealed that GM atrophy in right anterior cingulate (r = 0.541, p = 0.03 (uncorrected)) and left inferior frontal gyrus (r = 0.595, p = 0.015) were positively correlated with higher impulsivity. CONCLUSIONS This meta-analysis identified a concordance across subtypes of addiction in terms of the brain structural changes in prefrontal and insula areas, which may relate to higher impulsivity observed across addiction diagnoses. This concordance provides an organizing model that emphasizes the importance of shared neural substrates in addiction.
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Affiliation(s)
- Mengzhe Zhang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xinyu Gao
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhengui Yang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengmeng Wen
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huiyu Huang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruiping Zheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Weijian Wang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarui Wei
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Shaoqiang Han
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Yong Zhang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
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21
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Zhang J, Chen S, Jiang Q, Dong H, Zhao Z, Du X, Dong GH. Disturbed craving regulation to gaming cues in internet gaming disorder: Implications for uncontrolled gaming behaviors. J Psychiatr Res 2021; 140:250-259. [PMID: 34119910 DOI: 10.1016/j.jpsychires.2021.05.051] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 03/03/2021] [Accepted: 05/21/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND The ability to control craving for games is very important to abstain from Internet gaming disorder (IGD) and abundant clinical evidence has suggested that craving dysregulation is the essential pathogenesis for IGD. However, the neural mechanism underlying this feature remains unclear. METHODS Subjective evaluation and fMRI data from 44 participants (IGD participants: 21; recreational Internet game users (RGUs): 23) were collected while they were performing a regulation of craving task. We analyzed and compared their brain features while they regulated cravings to gaming stimuli. RESULTS Compared to RGUs, IGD participants showed enhanced brain activation in the right anterior cingulate cortex, posterior cingulate cortex (PCC), orbitofrontal cortex and middle temporal gyrus and in the left dorsolateral prefrontal cortex and thalamus during the regulation of craving task. Generalized psychophysiological interaction (gPPI) analysis revealed that IGD participants showed decreased functional connectivity between the right PCC and right inferior parietal lobule compared to that in RGU participants. CONCLUSIONS The results suggested that deficits of craving regulation in IGD participant were associated with the imbalanced coordination between the reward network and the executive network. Enhanced game-seeking motivation and disturbed executive control are responsible for craving dysregulation in IGD participants. These findings suggest a biological mechanism for IGD that may help in finding potential interventions.
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Affiliation(s)
- Jialin Zhang
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; State Key Laboratory of Cognitive Neuroscience and Learning, Bejing Normal University, Beijing, China
| | - Shuaiyu Chen
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Qing Jiang
- Department of Psychology, Zhejiang Normal University, Jinhua, China
| | - Haohao Dong
- Department of Psychology, Zhejiang Normal University, Jinhua, China
| | - Zhen Zhao
- Department of Psychology, Zhejiang Normal University, Jinhua, China
| | - Xiaoxia Du
- School of Psychology, Shanghai University of Sport, Shanghai, China
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, China.
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22
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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: 55] [Impact Index Per Article: 18.3] [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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23
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Yan H, Li Q, Yu K, Zhao G. Large-scale network dysfunction in youths with Internet gaming disorder: a meta-analysis of resting-state functional connectivity studies. Prog Neuropsychopharmacol Biol Psychiatry 2021; 109:110242. [PMID: 33434637 DOI: 10.1016/j.pnpbp.2021.110242] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/25/2020] [Accepted: 01/04/2021] [Indexed: 10/22/2022]
Abstract
Internet gaming disorder (IGD) has been defined as a specific behavioral disorder, associated with abnormal interactions among large-scale brain networks. Researchers have sought to identify the network dysfunction in IGD using resting-state functional connectivity (rsFC). However, results across studies have not reached an agreement yet and the mechanism remains unclear. The present research aimed to investigate network dysfunction in IGD through a meta-analysis of rsFC studies. Twenty-two seed-based voxel-wise rsFC studies from 25 publications (594 individuals with IGD and 496 healthy controls) were included. By categorizing seeds into seed-networks based on their location within a prior functional network parcellations, we performed a Multilevel kernel density analysis (MKDA) within each seed-network to identify which brain systems showed abnormal interaction with particular seed-network in individuals with IGD. Compared to healthy control groups, individuals with IGD exhibited significant hypoconnectivity within the default mode network, and enhanced connectivity between the default mode network and insula within the ventral attention network. IGD was also associated with increased connectivity between the ventral attention network and somatomotor regions. Furthermore, the IGD groups showed hyperconnectivity between the limbic network and regions of the frontoparietal network. The results suggest that individuals with IGD show large-scale functional network alteration which underpins their core symptoms including poor emotional competence, cue-reactivity and craving, habitual addictive behaviors and impaired executive control. Whether the compensation mechanism exists in IGD is discussed, and further research is needed. The findings provide a neurocognitive network model of IGD, which may serve as functional biomarkers for IGD and have potentials for development of effective diagnosis and therapeutic interventions.
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Affiliation(s)
- Haijiang Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Qi Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Beijing Key Laboratory of Learning and Cognition, Department of Psychology, Capital Normal University, Beijing, China
| | - Kai Yu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Guozhen Zhao
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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24
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Choi E, Shin SH, Ryu JK, Jung KI, Hyun Y, Kim J, Park MH. Association of Extensive Video Gaming and Cognitive Function Changes in Brain-Imaging Studies of Pro Gamers and Individuals With Gaming Disorder: Systematic Literature Review. JMIR Serious Games 2021; 9:e25793. [PMID: 34255648 PMCID: PMC8304135 DOI: 10.2196/25793] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 03/25/2021] [Accepted: 04/02/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The World Health Organization announced the inclusion of gaming disorder (GD) in the International Classification of Diseases, 11th Revision, despite some concerns. However, video gaming has been associated with the enhancement of cognitive function. Moreover, despite comparable extensive video gaming, pro gamers have not shown any of the negative symptoms that individuals with GD have reported. It is important to understand the association between extensive video gaming and alterations in brain regions more objectively. OBJECTIVE This study aimed to systematically explore the association between extensive video gaming and changes in cognitive function by focusing on pro gamers and individuals with GD. METHODS Studies about pro gamers and individuals with GD were searched for in the PubMed and Web of Science databases using relevant search terms, for example, "pro-gamers" and "(Internet) gaming disorder." While studies for pro gamers were searched for without date restrictions, only studies published since 2013 about individuals with GD were included in search results. Article selection was conducted by following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. RESULTS By following the PRISMA guidelines, 1903 records with unique titles were identified. Through the screening process of titles and abstracts, 86 full-text articles were accessed to determine their eligibility. A total of 18 studies were included in this systematic review. Among the included 18 studies, six studies included pro gamers as participants, one study included both pro gamers and individuals with GD, and 11 studies included individuals with GD. Pro gamers showed structural and functional alterations in brain regions (eg, the left cingulate cortex, the insula subregions, and the prefrontal regions). Cognitive function (eg, attention and sensorimotor function) and cognitive control improved in pro gamers. Individuals with GD showed structural and functional alterations in brain regions (eg, the striatum, the orbitofrontal cortex, and the amygdala) that were associated with impaired cognitive control and higher levels of craving video game playing. They also showed increased cortical thickness in the middle temporal cortex, which indicated the acquisition of better skills. Moreover, it was suggested that various factors (eg, gaming expertise, duration or severity of GD, and level of self-control) seemed to modulate the association of extensive video game playing with changes in cognitive function. CONCLUSIONS Although a limited number of studies were identified that included pro gamers and/or individuals who reported showing symptoms of GD for more than 1 year, this review contributed to the objective understanding of the association between extensive video game playing and changes in cognitive function. Conducting studies with a longitudinal design or with various comparison groups in the future would be helpful in deepening the understanding of this association.
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Affiliation(s)
- Eunhye Choi
- Department of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Suk-Ho Shin
- Dr. Shin's Child and Adolescent Psychiatry Clinic, Seoul, Republic of Korea
| | - Jeh-Kwang Ryu
- Department of Physical Education, College of Education, Dongguk University, Seoul, Republic of Korea
| | - Kyu-In Jung
- Department of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yerin Hyun
- Department of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jiyea Kim
- Department of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Min-Hyeon Park
- Department of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
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25
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Dong H, Wang M, Zheng H, Zhang J, Dong GH. The functional connectivity between the prefrontal cortex and supplementary motor area moderates the relationship between internet gaming disorder and loneliness. Prog Neuropsychopharmacol Biol Psychiatry 2021; 108:110154. [PMID: 33137406 DOI: 10.1016/j.pnpbp.2020.110154] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 10/06/2020] [Accepted: 10/23/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Individuals with internet gaming disorder (IGD) usually report a higher sense of loneliness. Although studies have suggested a key role of the prefrontal cortex-based resting-state functional connectivity (rsFC) in both IGD and loneliness, the potential mechanism between IGD and loneliness remains unclear. METHODS Fifty-seven IGD and 81 matched recreational internet gamer users (RGU) underwent resting-state fMRI scans. The UCLA loneliness scale was used to measure loneliness. We first explored the brain areas that are both associated with loneliness and IGD severity. Then, the neuroimaging findings were extracted to test whether the rsFC of these brain regions moderates the relationship between IGD and loneliness. RESULTS We observed reduced rsFC between the left dorsolateral prefrontal cortex (DLPFC) and the left precentral and the postcentral gyri and the supplementary motor area (SMA), which also correlated with increased IAT (Young''s internet addiction test) scores. More importantly, the rsFC of the DLPFC-precentral gyrus and the DLPFC-postcentral gyrus moderated the relationship between IGD severity and loneliness scores. Additionally, we also found that the rsFC of the left DLPFC-precentral gyrus, the DLPFC-postcentral gyrus and the right DLPFC-SMA moderated the relationship between self-reported gaming craving and the UCLA scores. CONCLUSIONS The current study confirmed the role of the DLPFC in reward control (game craving) and emotion regulation (loneliness). Additionally, the rsFC of the prefrontal cortex-supplementary motor area moderates IGD and loneliness. These findings provide valuable understanding of the two-way relationship between IGD and loneliness.
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Affiliation(s)
- Haohao Dong
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China
| | - Ming Wang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, PR China
| | - Jialin Zhang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China.
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26
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Better the devil you know than the devil you don't: Neural processing of risk and ambiguity. Neuroimage 2021; 236:118109. [PMID: 33940147 DOI: 10.1016/j.neuroimage.2021.118109] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 04/14/2021] [Accepted: 04/18/2021] [Indexed: 11/23/2022] Open
Abstract
Risk and ambiguity are inherent in virtually all human decision-making. Risk refers to a situation in which we know the precise probability of potential outcomes of each option, whereas ambiguity refers to a situation in which outcome probabilities are not known. A large body of research has shown that individuals prefer known risks to ambiguity, a phenomenon known as ambiguity aversion. One heated debate concerns whether risky and ambiguous decisions rely on the same or distinct neural circuits. In the current meta-analyses, we integrated the results of neuroimaging research on decision-making under risk (n = 69) and ambiguity (n = 31). Our results showed that both processing of risk and ambiguity showed convergence in anterior insula, indicating a key role of anterior insula in encoding uncertainty. Risk additionally engaged dorsomedial prefrontal cortex (dmPFC) and ventral striatum, whereas ambiguity specifically recruited the dorsolateral prefrontal cortex (dlPFC), inferior parietal lobe (IPL) and right anterior insula. Our findings demonstrate overlapping and distinct neural substrates underlying different types of uncertainty, guiding future neuroimaging research on risk-taking and ambiguity aversion.
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27
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Kim SJ, Kim MK, Shin YB, Kim HE, Kwon JH, Kim JJ. Differences in resting-state functional connectivity according to the level of impulsiveness in patients with internet gaming disorder. J Behav Addict 2021; 10:88-98. [PMID: 33625381 PMCID: PMC8969862 DOI: 10.1556/2006.2021.00005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 06/30/2020] [Accepted: 01/10/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND AND AIMS Impulsiveness is an important factor in the pathophysiology of Internet gaming disorder (IGD), and regional brain functions can be different depending on the level of impulsiveness. This study aimed to demonstrate that different brain mechanisms are involved depending on the level of impulsiveness among patients with IGD. METHODS Resting-state functional MRI data were obtained from 23 IGD patients with high impulsivity, 27 IGD patients with low impulsivity, and 22 healthy controls, and seed-based functional connectivity was compared among the three groups. The seed regions were the ventromedial prefrontal cortex (vmPFC), dorsolateral prefrontal cortex, nucleus accumbens (NAcc), and amygdala. RESULTS Connectivity of the vmPFC with the left temporo-parietal junction (TPJ) and NAcc-left insula connectivity were significantly decreased in the patients with high impulsivity, compared with the patients with low impulsivity and healthy controls. On the other hand, amygdala-based connectivity with the left inferior frontal gyrus showed decreases in both patient groups, compared with the healthy controls. CONCLUSION These findings may suggest a potential relationship between impulsivity and deficits in reward-related social cognition processes in patients with IGD. In particular, certain interventions targeted at vmPFC-TPJ connectivity, found to be impulsivity-specific brain connectivity, are likely to help with addiction recovery among impulsive patients with IGD.
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Affiliation(s)
- Soo-Jeong Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Min-Kyeong Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yu-Bin Shin
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hesun Erin Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jun Hee Kwon
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jae-Jin Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea
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28
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Ahn J, Lee D, Namkoong K, Jung YC. Altered Functional Connectivity of the Salience Network in Problematic Smartphone Users. Front Psychiatry 2021; 12:636730. [PMID: 34349676 PMCID: PMC8326368 DOI: 10.3389/fpsyt.2021.636730] [Citation(s) in RCA: 6] [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: 12/04/2020] [Accepted: 06/16/2021] [Indexed: 11/18/2022] Open
Abstract
Smartphones provide convenience in everyday life. Smartphones, however, can elicit adverse effects when used excessively. The purpose of this study was to examine the underlying neurobiological alterations that arise from problematic smartphone use. We performed resting state seed-based functional connectivity (FC) analysis of 44 problematic smartphone users and 54 healthy controls. This analysis assessed the salience, central executive, default mode, and affective networks. Compared to controls, problematic smartphone users showed enhanced FC within the salience network and between the salience and default mode network. Moreover, we observed decreased FC between the salience and central executive network in problematic smartphone users, compared to controls. These results imply that problematic smartphone use is associated with aberrant FC in key brain networks. Our results suggest that changes in FC of key networks centered around the salience network might be associated with problematic smartphone use.
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Affiliation(s)
- Jaeun Ahn
- Psychiatry, National Health Insurance Service Ilsan Hospital, Goyang, South Korea.,Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Deokjong Lee
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea.,Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, South Korea
| | - Kee Namkoong
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea.,Psychiatry, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Young-Chul Jung
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea.,Psychiatry, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
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29
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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: 8.0] [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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Tsai JK, Lu WH, Hsiao RC, Hu HF, Yen CF. Relationship between Difficulty in Emotion Regulation and Internet Addiction in College Students: A One-Year Prospective Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17134766. [PMID: 32630720 PMCID: PMC7369922 DOI: 10.3390/ijerph17134766] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 06/26/2020] [Accepted: 06/30/2020] [Indexed: 01/23/2023]
Abstract
This prospective study evaluated the predictive effect of difficulty in emotion regulation on the occurrence and remission of Internet addiction (IA) and determined whether IA has a role in changing emotion regulation among college students during a follow-up period of 1 year. A total of 500 college students (262 women and 238 men) were recruited. In baseline and follow-up investigations, the levels of IA and difficulty in emotion regulation were evaluated using the Chen Internet Addiction Scale and the Difficulties in Emotion Regulation Scale (DERS), respectively. The results indicated that the subscale of impulse control difficulties on the DERS predicted the incidence of IA during the follow-up period of 1 year in male participants (t = −2.875, p = 0.005), whereas no subscale on the DERS predicted the remission of IA. IA did not predict the change in difficulties in emotion regulation. The subscale of impulse control difficulties on the DERS predicted the occurrence of IA in the college students and warrants early intervention.
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Affiliation(s)
- Jui-Kang Tsai
- Department of Psychiatry, Kaohsiung Armed Forces General Hospital, Kaohsiung 80284, Taiwan;
- Department of Nursing, Meiho University, Pingtung 91202, Taiwan
| | - Wei-Hsin Lu
- Department of Psychiatry, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi City 60002, Taiwan;
- Department of Senior Citizen Service Management, Chia Nan University of Pharmacy and Science, Tainan 71710, Taiwan
| | - Ray C. Hsiao
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA;
- Department of Psychiatry, Children’s Hospital and Regional Medical Center, Seattle, WA 98105, USA
| | - Huei-Fan Hu
- Department of Psychiatry, Tainan Municipal Hospital (managed by Show Chwan Medical Care Corporation), Tainan 70173, Taiwan
- Correspondence: (H.-F.H.); (C.-F.Y.); Tel.: +886-6-2609926 (H.-F.H.); Tel.: +886-7-3124941 (C.-F.Y.)
| | - Cheng-Fang Yen
- Department of Psychiatry, School of Medicine and Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan
- Correspondence: (H.-F.H.); (C.-F.Y.); Tel.: +886-6-2609926 (H.-F.H.); Tel.: +886-7-3124941 (C.-F.Y.)
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Lin PY, Lin HC, Lin PC, Yen JY, Ko CH. The association between Emotional Regulation and Internet Gaming Disorder. Psychiatry Res 2020; 289:113060. [PMID: 32450453 DOI: 10.1016/j.psychres.2020.113060] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 04/26/2020] [Accepted: 04/30/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE Lack of control over Internet gaming habits may result in negative consequences. This study aimed to evaluate the emotional regulation of adults with Internet gaming disorder (IGD) and the association of emotion regulation, depression, and hostility. METHODS Advertisements were used to recruit 69 young adults with IGD, 69 sex- and age-matched controls, and 69 sex- and age-matched regular gamers. The diagnosis of IGD was according to diagnostic interviews based on DSM-5 IGD research criteria. Participants completed the Affective Style Questionnaire, the center of epidemiological studies depression scale and the short-form Chinese version of Buss-Durkee Hostility Inventory. RESULTS In the IGD group, the emotion adjustment score was significantly lower, whereas the scores for depression, and hostility were significantly higher than in the other two groups. In addition, emotion adjustment is the most associated emotion regulation behavior of IGD, followed by emotion concealment. In IGD group, emotion adjustment had a negative correlation with depression and hostility. CONCLUSIONS Our study demonstrate that emotion adjustment is significantly associated with IGD. The depression and hostility mediated the association. Knowing that emotion adjustment plays a critical role in IGD, future interventions should focus on this subscale of emotion regulation.
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Affiliation(s)
- Pei-Yun Lin
- Department of Psychiatry, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan 812
| | - Hung-Chi Lin
- Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan 807; Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan 807
| | - Pai-Cheng Lin
- Department of Psychiatry, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan 801
| | - Ju-Yu Yen
- Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan 807; Department of Psychiatry, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan 801
| | - Chih-Hung Ko
- Department of Psychiatry, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan 812; Department of Psychiatry, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan 807; Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
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Park SM, Lee JY, Choi AR, Kim BM, Chung SJ, Park M, Kim IY, Park J, Choi J, Hong SJ, Choi J. Maladaptive neurovisceral interactions in patients with Internet gaming disorder: A study of heart rate variability and functional neural connectivity using the graph theory approach. Addict Biol 2020; 25:e12805. [PMID: 31297935 PMCID: PMC7317587 DOI: 10.1111/adb.12805] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 05/13/2019] [Accepted: 06/03/2019] [Indexed: 12/31/2022]
Abstract
Heart rate variability (HRV) can be used to represent the regulatory adaptive system and is a proxy for neurovisceral integration. Consistent with the view that, like other addictions, Internet gaming disorder (IGD) involves disrupted regulatory function, the present study hypothesized that IGD patients would show (a) decreased HRV, (b) ineffective functional neural connectivity, and (c) differential patterns of association between HRV and functional neural connectivity relative to healthy controls (HCs). The present study included 111 young adults (53 IGD patients and 58 age‐ and sex‐matched HCs) who underwent simultaneous recordings with an electrocardiogram and electroencephalogram during a resting state. Heart rate (HR), HRV, and functional neural connectivity were calculated using the graph theory approach. Compared with the HCs, the IGD patients exhibited elevated HR and decreased HRV based on the high frequency (HF), which reflects suppression of parasympathetic and/or vagal tone. The IGD patients also exhibited a heightened theta band characteristic path length (CPL) compared with HCs, indicating decreased efficacy of the functional network. Furthermore, IGD patients exhibited negative correlations between the standard deviation of the normal‐to‐normal interval index (SDNNi) and theta and delta CPL values, which were not observed in HCs. In conclusion, the present findings suggest that IGD patients might have maladaptive brain‐body integration features involving disruptions of the autonomic nervous system and brain function.
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Affiliation(s)
- Su Mi Park
- Department of Psychiatry SMG‐SNU Boramae Medical Center Seoul South Korea
- Department of Clinical Medical Sciences Seoul National University College of Medicine Seoul South Korea
| | - Ji Yoon Lee
- Department of Psychiatry SMG‐SNU Boramae Medical Center Seoul South Korea
| | - A Ruem Choi
- Department of Psychiatry SMG‐SNU Boramae Medical Center Seoul South Korea
| | - Bo Mi Kim
- Department of Psychiatry SMG‐SNU Boramae Medical Center Seoul South Korea
| | - Sun Ju Chung
- Department of Psychiatry SMG‐SNU Boramae Medical Center Seoul South Korea
| | - Minkyung Park
- Department of Psychiatry SMG‐SNU Boramae Medical Center Seoul South Korea
| | - In Young Kim
- Department of Biomedical Engineering Hanyang University Seoul South Korea
| | - Jinsick Park
- Department of Biomedical Engineering Hanyang University Seoul South Korea
| | - Jeongbong Choi
- Department of Biomedical Engineering Hanyang University Seoul South Korea
| | - Sung Jun Hong
- Medical Device Development Center Osong Medical Innovation Foundation Cheongju South Korea
| | - Jung‐Seok Choi
- Department of Psychiatry SMG‐SNU Boramae Medical Center Seoul South Korea
- Department of Psychiatry and Behavioral Science Seoul National University College of Medicine Seoul South Korea
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A Multimodal Analysis Combining Behavioral Experiments and Survey-Based Methods to Assess the Cognitive Effect of Video Game Playing: Good or Evil? SENSORS 2020; 20:s20113219. [PMID: 32517096 PMCID: PMC7308934 DOI: 10.3390/s20113219] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 06/01/2020] [Accepted: 06/03/2020] [Indexed: 11/16/2022]
Abstract
This study aims to bridge the gap between the discrepant views of existing studies in different modalities on the cognitive effect of video game play. To this end, we conducted a set of tests with different modalities within each participant: (1) Self-Reports Analyses (SRA) consisting of five popular self-report surveys, and (2) a standard Behavioral Experiment (BE) using pro- and antisaccade paradigms, and analyzed how their results vary between Video Game Player (VGP) and Non-Video Game Player (NVGP) participant groups. Our result showed that (1) VGP scored significantly lower in Behavioral Inhibition System (BIS) than NVGP (p = 0.023), and (2) VGP showed significantly higher antisaccade error rate than NVGP (p = 0.005), suggesting that results of both SRA and BE support the existing view that video game play has a maleficent impact on the cognition by increasing impulsivity. However, the following correlation analysis on the results across individual participants found no significant correlation between SRA and BE, indicating a complex nature of the cognitive effect of video game play.
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Kuriki S, Higuchi S, Nakayama H, Mihara S, Okazaki Y, Ono Y, Kobayashi H. Neurobiological influence of comorbid conditions in young patients diagnosed with gaming disorder: A whole-brain functional connectivity study based on a data driven method. PLoS One 2020; 15:e0233780. [PMID: 32469991 PMCID: PMC7259694 DOI: 10.1371/journal.pone.0233780] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 05/12/2020] [Indexed: 12/12/2022] Open
Abstract
Gaming disorder, which is characterized by multiple cognitive and behavioral symptoms, often has comorbid psychiatric conditions such as depression and attention-deficit hyperactivity disorder. Neurobiological effects of the comorbid disorders so far reported are not converging, exhibiting positive and negative alterations of the connectivity in brain networks. In this study, we conducted resting-state functional magnetic-resonance imaging and whole brain functional connectivity analyses for young participants consisting of 40 patients diagnosed with the gaming disorder, with and without comorbid conditions, and 29 healthy controls. Compared to healthy controls, the gaming disorder-alone patients had partially diminished connectivities in the reward system and executive control network, within which there existed central nodes that served as a hub of diminished connections. In the gaming disorder patients who had comorbidity of autism spectrum disorder, the diminished connections were enlarged, with alteration of the hub nodes, to the entire brain areas involved in the reward system including cortical, subcortical and limbic areas that are crucial for reward processing, and to the whole cortical areas composing the executive control network. These observations suggest that the neurodevelopmental condition coexisting with the gaming disorder induced substantial impairment of the neural organizations associated with executive/cognitive and emotional functions, which are plausibly causal to the behavioral addiction, by rearranging and diminishing functional connectivities in the network.
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Affiliation(s)
- Shinya Kuriki
- School of Science and Engineering, Tokyo Denki University, Saitama, Japan
- Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
- * E-mail:
| | - Susumu Higuchi
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Japan
| | - Hideki Nakayama
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Japan
| | - Satoko Mihara
- National Hospital Organization Kurihama Medical and Addiction Center, Yokosuka, Japan
| | - Yasuomi Okazaki
- Advanced Science and Engineering, Waseda University, Tokyo, Japan
| | - Yumie Ono
- School of Science and Technology, Meiji University, Kanagawa, Japan
| | - Hiroshi Kobayashi
- School of Information Environment, Tokyo Denki University, Tokyo, Japan
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Seok JW, Cheong C. Gray Matter Deficits and Dysfunction in the Insula Among Individuals With Intermittent Explosive Disorder. Front Psychiatry 2020; 11:439. [PMID: 32508687 PMCID: PMC7251158 DOI: 10.3389/fpsyt.2020.00439] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 04/28/2020] [Indexed: 12/12/2022] Open
Abstract
Although numerous neuroimaging studies have evaluated the characteristics of intermittent explosive disorder (IED), studies on the structural alterations and focal dysfunction in the brain in this condition are limited. This study aimed to identify gray matter deficits and functional alterations in individuals with IED using voxel-based morphometry (VBM) and functional magnetic resonance imaging (fMRI) analyses. Fifteen men with IED and 15 age- and sex-matched healthy controls participated in this study. Gray matter volume and brain activation while viewing the anger-inducing films were measured using 7T MRI. VBM results indicated that individuals with IED had significantly reduced gray matter volume in the insula, amygdala, and orbitofrontal area, relative to controls. Gray matter volume in the left insula was negatively correlated with composite aggression scores. fMRI results demonstrated that relative to healthy controls, individuals with IED showed greater activation in the insula, putamen, anterior cingulate cortex, and amygdala during anger processing. Left insular activity was positively correlated with composite aggression scores. Collectively, these findings suggest that structural and functional alterations in the left insula are linked to IED; this provides insight into the neural mechanisms underlying IED.
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Affiliation(s)
- Ji-Woo Seok
- Department of Psychiatry, University of Nebraska Medical Center, Omaha, NE, United States
- Department of Rehabilitation Counseling Psychology, Seoul Hanyoung University, Seoul, South Korea
| | - Chaejoon Cheong
- Bioimaging Research Team, Korean Basic Science Institute, Cheongju, South Korea
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Qin K, Zhang F, Chen T, Li L, Li W, Suo X, Lei D, Kemp GJ, Gong Q. Shared gray matter alterations in individuals with diverse behavioral addictions: A voxel-wise meta-analysis. J Behav Addict 2020; 9:44-57. [PMID: 32359230 PMCID: PMC8935193 DOI: 10.1556/2006.2020.00006] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND AIMS Numerous studies on behavioral addictions (BAs) have reported gray matter (GM) alterations in multiple brain regions by using voxel-based morphometry (VBM). However, findings are poorly replicated and it remains elusive whether distinct addictive behaviors are underpinned by shared abnormalities. In this meta-analysis, we integrated VBM studies on different BAs to investigate common GM abnormalities in individuals with BAs. METHODS Numerous studies on behavioral addictions (BAs) have reported gray matter (GM) alterations in multiple brain regions by using voxel-based morphometry (VBM). However, findings are poorly replicated and it remains elusive whether distinct addictive behaviors are underpinned by shared abnormalities. In this meta-analysis, we integrated VBM studies on different BAs to investigate common GM abnormalities in individuals with BAs. RESULTS Twenty studies including 505 individuals with BAs and 564 healthy controls met the inclusion criteria. Compared with healthy controls, individuals with BAs showed GM atrophy in the left anterior cingulate (extending to the left medial superior frontal gyrus and bilateral orbitofrontal gyrus), right putamen and right supplementary motor area. Subgroup analysis found heterogeneity in gender and subtypes of BAs. Meta-regression revealed that GM decreases in the left anterior cingulate and right supplementary motor area were positively correlated with addictive severity. Higher impulsivity was associated with smaller volume of the left anterior cingulate. DISCUSSION AND CONCLUSIONS Our findings on BAs were mainly derived from internet gaming disorder (IGD) and pathological gambling (PG) studies, preliminarily suggesting that GM atrophy in the prefrontal and striatal areas might be a common structural biomarker of BAs.
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Affiliation(s)
- Kun Qin
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Feifei Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Taolin Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Lei Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Wenbin Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xueling Suo
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Du Lei
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA,Corresponding author. Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, 260 Stetson St., Suite 3326, Cincinnati, OH, USA. E-mail:
| | - Graham J. Kemp
- Liverpool Magnetic Resonance Imaging Centre (LiMRIC), Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China,Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, Chengdu, Sichuan, China,Corresponding author. Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu, 610041, China. E-mail:
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Wang Z, Dong H, Du X, Zhang JT, Dong GH. Decreased effective connection from the parahippocampal gyrus to the prefrontal cortex in Internet gaming disorder: A MVPA and spDCM study. J Behav Addict 2020; 9:105-115. [PMID: 32359234 PMCID: PMC8935187 DOI: 10.1556/2006.2020.00012] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVES Understanding the neural mechanisms underlying Internet gaming disorder (IGD) is essential for the condition's diagnosis and treatment. Nevertheless, the pathological mechanisms of IGD remain elusive at present. Hence, we employed multi-voxel pattern analysis (MVPA) and spectral dynamic causal modeling (spDCM) to explore this issue. METHODS Resting-state fMRI data were collected from 103 IGD subjects (male = 57) and 99 well-matched recreational game users (RGUs, male = 51). Regional homogeneity was calculated as the feature for MVPA based on the support vector machine (SVM) with leave-one- out cross-validation. Mean time series data extracted from the brain regions in accordance with the MVPA results were used for further spDCM analysis. RESULTS Results display a high accuracy of 82.67% (sensitivity of 83.50% and specificity of 81.82%) in the classification of the two groups. The most discriminative brain regions that contributed to the classification were the bilateral parahippocampal gyrus (PG), right anterior cingulate cortex (ACC), and middle frontal gyrus (MFG). Significant correlations were found between addiction severity (IAT and DSM scores) and the ReHo values of the brain regions that contributed to the classification. Moreover, the results of spDCM showed that compared with RGU, IGD showed decreased effective connectivity from the left PG to the right MFG and from the right PG to the ACC and decreased self-connection in the right PG. CONCLUSIONS These results show that the weakening of the PG and its connection with the prefrontal cortex, including the ACC and MFG, may be an underlying mechanism of IGD.
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Affiliation(s)
- Ziliang Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China,Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China
| | - Haohao Dong
- Department of Psychology, Zhejiang Normal University, Jinhua, PR China
| | - Xiaoxia Du
- Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, PR China
| | - Jin-Tao Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, PR China,Corresponding author. Tel./fax: +86 10 58800728. E-mail:
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, PR China,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China,Corresponding author. Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province, P.R. China. Tel.: +86 15 867949909. E-mail:
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Ko CH, Wang PW, Liu TL, Chen CS, Yen CF, Yen JY. The adaptive decision-making, risky decision, and decision-making style of Internet gaming disorder. Eur Psychiatry 2020. [DOI: 10.1016/j.eurpsy.2017.05.020] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
AbstractBackground:Persistent gaming, despite acknowledgment of its negative consequences, is a major criterion for individuals with Internet gaming disorder (IGD). This study evaluated the adaptive decision-making, risky decision, and decision-making style of individuals with IGD.Methods:We recruited 87 individuals with IGD and 87 without IGD (matched controls). All participants underwent an interview based on the Diagnostic and Statistical Manual of Mental Disorders (5th Edition) diagnostic criteria for IGD and completed an adaptive decision-making task; the Preference for Intuition and Deliberation Scale, Chen Internet Addiction Scale, and Barratt Impulsivity Scale were also assessed on the basis of the information from the diagnostic interviews.Results:The results demonstrated that the participants in both groups tend to make more risky choices in advantage trials where their expected value (EV) was more favorable than those of the riskless choice. The tendency to make a risky choice in advantage trials was stronger among IGD group than that among controls. Participants of both groups made more risky choices in the loss domain, a risky option to loss more versus sure loss option, than they did in the gain domain, a risky option to gain more versus sure gain. Furthermore, the participants with IGD made more risky choices in the gain domain than did the controls. Participants with IGD showed higher and lower preferences for intuitive and deliberative decision-making styles, respectively, than controls and their preferences for intuition and deliberation were positively and negatively associated with IGD severity, respectively.Conclusions:These results suggested that individuals with IGD have elevated EV sensitivity for decision-making. However, they demonstrated risky preferences in the gain domain and preferred an intuitive rather than deliberative decision-making style. This might explain why they continue Internet gaming despite negative consequences. Thus, therapists should focus more on decision-making styles and promote deliberative thinking processes to mitigate the long-term negative consequences of IGD.
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A preliminary study of disrupted functional network in individuals with Internet gaming disorder: Evidence from the comparison with recreational game users. Addict Behav 2020; 102:106202. [PMID: 31801105 DOI: 10.1016/j.addbeh.2019.106202] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 08/27/2019] [Accepted: 11/03/2019] [Indexed: 12/13/2022]
Abstract
Although online gaming may lead to Internet gaming disorder (IGD), most players are recreational game users (RGU) who do not develop IGD. So far, the topological organization of whole-brain functional networks in IGD remains poorly understood. The inclusion of RGU as a control group could minimize the potential effects of gaming experience and gaming-related cue familiarity on the neural characteristics of IGD subjects. In the present study, we applied graph theoretical analysis to preliminarily explore the topological organization of intrinsic functional brain networks in IGD. 61 IGD participants and 61 matched RGU participants were recruited to undergo a resting-state functional magnetic resonance imaging scan. The whole-brain functional networks were constructed by thresholding partial correlation matrices of 90 brain regions, and graph-based approaches were applied to analysis their topological attributes, including small-world, efficiency, and nodal centralities. Both of IGD and RGU groups showed efficient and economic small-world topology in brain functional networks. Although there was no significant group difference in global properties, subjects with IGD as compared to those with RGU showed increased nodal centralities in the reward, craving, emotional memory and sensory-motor processing regions. These results suggest that the functional network dysfunction, characterizing by heightened incentive motivation and sensory-motor coordination, may provide a new perspective for understanding the neural characteristics underlying IGD.
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Cheng H, Liu J. Alterations in Amygdala Connectivity in Internet Addiction Disorder. Sci Rep 2020; 10:2370. [PMID: 32047251 PMCID: PMC7012850 DOI: 10.1038/s41598-020-59195-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 01/13/2020] [Indexed: 12/12/2022] Open
Abstract
Recent studies have revealed structural and functional abnormalities in amygdala due to Internet addiction (IA) associated with emotional disturbance. However, the role of amygdala connectivity that is responsible for emotion-cognition interactions is largely unknown in IA. This study aims to explore the amygdala connectivity abnormalities in IA. The functional and structural connectivity of bilateral amygdala were examined using seed-based connectivity analysis, and the structural integrity on white mater tracts passing through amygdala was also examined. Additionally, a correlation analysis was performed to investigate the relationship between brain connectivity and duration of IA. We found that IA subjects had decreased negative functional connectivity (FC) between amygdala and dorsolateral prefrontal cortex (DLPFC), and had increased negative FC between amygdala and precuneus and superior occipital gyrus (SOG). While IA subjects had decreased positive FC between amygdala and anterior cingulate cortex (ACC), and had increased positive FC between amygdala and thalamus. The FC between left amygdala and right DLPFC had significant correlation with duration of IA. The structural connectivity and integrity between amygdala and ACC were also decreased in IA subjects. These findings indicate that the amygdala connectivity is altered in IA subjects. The altered FC of amygdala-DLPFC is associated with duration of IA.
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Affiliation(s)
- Hewei Cheng
- Department of Biomedical Engineering, School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Jie Liu
- Research Institute of Education Development, Chongqing University of Posts and Telecommunications, Chongqing, China.
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Jeong H, Lee HK, Kwon YS, Yim HW, Lee SY. Gaming disorder and bidirectional relationships with aggression and impulsivity. Curr Opin Behav Sci 2020. [DOI: 10.1016/j.cobeha.2019.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Sun Y, Wang Y, Han X, Jiang W, Ding W, Cao M, Du Y, Lin F, Xu J, Zhou Y. Sex differences in resting-state cerebral activity alterations in internet gaming disorder. Brain Imaging Behav 2020; 13:1406-1417. [PMID: 30178423 DOI: 10.1007/s11682-018-9955-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Although evidence has shown that the prevalence rates of Internet gaming disorder (IGD) differ between males and females, few studies have examined whether such sex differences extend to brain function. This study aimed to explore the sex differences in resting-state cerebral activity alterations in IGD. Thirty male participants with IGD (IGDm), 23 female participants with IGD (IGDf), and 30 male and 22 female age-matched healthy controls (HC) underwent resting-state functional MRI. Maps of the amplitude of low-frequency fluctuation (ALFF) and functional connectivity (FC) were constructed. A two-factor ANCOVA model was performed, with sex and diagnosis as the between-subject factors. Then, post hoc pair-wise comparisons were performed using two-sample t-tests within the interaction masks. The Barratt Impulsiveness Scale-11 (BIS-11) was used to assess the behavioral inhibition function. We found that the ALFF values in the orbital part of the left superior frontal gyrus (SFG) were lower in IGDm than in HCm, which were negatively correlated with BIS-11 scores. IGDm also demonstrated lower connectivity between the orbital part of the left SFG and the posterior cingulate cortex (PCC), the right angular gyrus, and the right dorsolateral prefrontal cortex than HCm. Furthermore, IGDm had lower seed connectivity between the orbital part of the left SFG and the PCC than ICDf. Our findings suggest that (1) the altered ALFF values in the orbital part of the left SFG represent a clinically relevant biomarker for the behavioral inhibition function of IGDm; (2) IGD may interact with sex-specific patterns of FC in male and female subjects.
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Affiliation(s)
- Yawen Sun
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, People's Republic of China
| | - Yao Wang
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, People's Republic of China
| | - Xu Han
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, People's Republic of China
| | - Wenqing Jiang
- Department of Child & Adolescent Psychiatry,Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China
| | - Weina Ding
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, People's Republic of China
| | - Mengqiu Cao
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, People's Republic of China
| | - Yasong Du
- Department of Child & Adolescent Psychiatry,Shanghai Mental Health Center, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China
| | - Fuchun Lin
- National Center for Magnetic Resonance in Wuhan, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, People's Republic of China
| | - Jianrong Xu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, People's Republic of China
| | - Yan Zhou
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, People's Republic of China.
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Mohammadi B, Szycik GR, Te Wildt B, Heldmann M, Samii A, Münte TF. Structural brain changes in young males addicted to video-gaming. Brain Cogn 2020; 139:105518. [PMID: 31954233 DOI: 10.1016/j.bandc.2020.105518] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2019] [Revised: 01/05/2020] [Accepted: 01/07/2020] [Indexed: 12/23/2022]
Abstract
Excessive video gaming has a number of psychological and social consequences. In this study, we looked at possible changes in gray and white matter and asked whether these changes are correlated to psychological measures. Twentynine players of violent videogames (mean daily playing time 4.7 h) and age matched controls were subjected to a battery of questionnaires assessing aggression, empathy, hostility, internet addiction and psychological well-being. Diffusion tensor and 3D T1-weighted MR images were obtained to examine gray (via voxel-based morphometry) and white (via tract-based spatial statistics) matter changes. Widespread regions of decreased gray matter in the players were found but no region showed increased intensity of gray matter. Density of gray matter showed a negative correlation with the total length of playing in years in the right posterior cingulate gyrus, left pre- and postcentral gyrus, right thalamus, among others. Furthermore, fractional anisotropy, a marker for white matter structure, was decreased in the left and right cingulum in the players. Both, gray and white matter changes correlated with measures of aggression, hostility, self esteem, and the degree of internet addiction. This study thus shows profound changes of brain structure as a function of excessive playing of violent video games.
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Affiliation(s)
- Bahram Mohammadi
- Dept. of Neurology, University of Lübeck, Lübeck, Germany; CNS-lab, International Neuroscience Institute, Hannover, Germany
| | - Gregor R Szycik
- Dept. of Psychiatry, Hannover Medical School, Hannover, Germany
| | | | - Marcus Heldmann
- Dept. of Neurology, University of Lübeck, Lübeck, Germany; Institute of Psychology II, University of Lübeck, Lübeck, Germany
| | - Amir Samii
- CNS-lab, International Neuroscience Institute, Hannover, Germany
| | - Thomas F Münte
- Dept. of Neurology, University of Lübeck, Lübeck, Germany; Institute of Psychology II, University of Lübeck, Lübeck, Germany
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Altered brain functional networks in Internet gaming disorder: independent component and graph theoretical analysis under a probability discounting task. CNS Spectr 2019; 24:544-556. [PMID: 30968814 DOI: 10.1017/s1092852918001505] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVES Internet gaming disorder (IGD) is becoming a matter of concern around the world. However, the neural mechanism underlying IGD remains unclear. The purpose of this paper is to explore the differences between the neuronal network of IGD participants and that of recreational Internet game users (RGU). METHODS Imaging and behavioral data were collected from 18 IGD participants and 20 RGU under a probability discounting task. The independent component analysis (ICA) and graph theoretical analysis (GTA) were used to analyze the data. RESULTS Behavioral results showed the IGD participants, compared to RGU, prefer risky options to the fixed ones and spent less time in making risky decisions. In imaging results, the ICA analysis revealed that the IGD participants showed stronger functional connectivity (FC) in reward circuits and executive control network, as well as lower FC in anterior salience network (ASN) than RGU; for the GTA results, the IGD participants showed impaired FC in reward circuits and ASN when compared with RGU. CONCLUSIONS These results suggest that IGD participants were more sensitive to rewards, and they were more impulsive in decision-making as they could not control their impulsivity effectively. This might explain why IGD participants cannot stop their gaming behaviors even when facing severe negative consequences.
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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: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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Zheng D, Chen J, Wang X, Zhou Y. Genetic contribution to the phenotypic correlation between trait impulsivity and resting-state functional connectivity of the amygdala and its subregions. Neuroimage 2019; 201:115997. [PMID: 31284029 DOI: 10.1016/j.neuroimage.2019.07.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 06/23/2019] [Accepted: 07/04/2019] [Indexed: 11/30/2022] Open
Abstract
Trait impulsivity, a predisposition to respond to stimuli without regard for the potentially negative consequences, contributes to many maladaptive behaviors. Studies have shown that both genetic factors and interregional functional interactions underlie trait impulsivity. However, whether common genes contribute to both trait impulsivity and its neural basis is still unknown. This study investigated the phenotypic correlations between trait impulsivity and the resting-state functional connectivity (rsFC) of the amygdala as well as its subregions and the genetic contribution to the phenotypic correlations. By recruiting a sample of 292 twins in late adolescence and young adulthood, we found that trait impulsivity was positively correlated with the rsFC between the left full amygdala and the right dorsolateral prefrontal cortex (DLPFC). Further analyses on the subregions of the amygdala showed that trait impulsivity was positively correlated with the rsFCs between the left basolateral (BL) amygdala and both the right DLPFC and the right inferior frontal gyrus and with the rsFCs between the right superficial (SF) amygdala and both the dorsal anterior cingulate cortex and right anterior insula. Bivariate genetic modelling analyses found genetic overlaps between trait impulsivity and the rsFC of the left full amygdala or the left BL amygdala with the right DLPFC. The proportions of phenotypic associations accounted for by overlapping genes were 82% and 60%, respectively. These results provide evidence for the genetic overlap between trait impulsivity and the intrinsic brain functional connectivity centered at the amygdala and especially at its BL subregion.
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Affiliation(s)
- Dang Zheng
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, PR China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, PR China
| | - Jie Chen
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, PR China; CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China
| | - Xiaoming Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Yuan Zhou
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, PR China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, PR China; The National Clinical Research Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China.
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Clinical Characteristics of Diagnosis for Internet Gaming Disorder: Comparison of DSM-5 IGD and ICD-11 GD Diagnosis. J Clin Med 2019; 8:jcm8070945. [PMID: 31261841 PMCID: PMC6678371 DOI: 10.3390/jcm8070945] [Citation(s) in RCA: 111] [Impact Index Per Article: 22.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 06/25/2019] [Accepted: 06/26/2019] [Indexed: 12/27/2022] Open
Abstract
The American Psychiatric Association (APA) included internet game disorder (IGD) in section III of the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (DSM-5) on the condition that it guaranteed more clinical research and experience. The World Health Organization (WHO) also included Game Disorder (GD) in the 11th final revision of the International Classification of Diseases (ICD-11) and recently recognized it as a diagnosis code. This study aims to compare clinical characteristics and gaming behavior patterns between the IGD diagnosis criteria proposed by the DSM-5 and the GD diagnosis criteria proposed by the ICD-11 based on clinical cohort data (c-CURE: clinic-Cohort for Understanding of internet addiction Rescue factors in Early life) obtained in the Republic of Korea. Psychologists and psychiatrists conducted semi-structured interviews with children/adolescents and their caregivers to identify IGD (Diagnostic Interview for Internet, Game, SNS, etc. Addiction, DIA), and comorbid psychiatric disorders (Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version-Korean version, K-SADS-PL). The cohort was divided into three IGD diagnosis groups (Normal, DSM5, DSM5 + ICD11) based on DSM-5 and ICD-11 diagnosis criteria. Internet usage pattern and addiction characteristics and psychiatric comorbidities were compared among the three IGD diagnosis groups. The Normal group consisted of 115 subjects, the DSM5 group contained 61 subjects, and the DSM5 + ICD11 group amounted to 12 subjects. The DSM5 + ICD11 group had a lower age of starting use of Internet/games/smartphones than other groups and the average time of Internet/game/smartphone use during weekdays/weekends was the highest. Also, in the eight items scored, excluding ‘deceiving’ and ‘craving’, the rate of threshold was highest in the DSM5 + ICD11 group, followed by the DSM5 group and the Normal group. On the other hand, ‘deceiving’ and ‘craving’ were the highest in DSM5, followed by DSM5 + ICD11 and Normal. The DSM5 + ICD11 group had significantly higher rates of depressive disorder, oppositional defiant disorder (ODD) and conduct disorder (CD) compared to other groups. This study provides implications for the clinical characteristics of IGD diagnosis in the field by comparing the DSM-5 IGD diagnosis criteria with the ICD-11 GD diagnosis criteria. Furthermore, this study provides empirical evidence that ICD-11 GD emphasizes serious symptoms such as functional impairment caused by excessive Internet/game/smartphone use over a long time, and it supports the validity of the ICD-11 GD diagnosis.
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Ryu H, Lee JY, Choi AR, Chung SJ, Park M, Bhang SY, Kwon JG, Kweon YS, Choi JS. Application of Diagnostic Interview for Internet Addiction (DIA) in Clinical Practice for Korean Adolescents. J Clin Med 2019; 8:jcm8020202. [PMID: 30736373 PMCID: PMC6406814 DOI: 10.3390/jcm8020202] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 01/25/2019] [Accepted: 02/02/2019] [Indexed: 12/19/2022] Open
Abstract
The increased prevalence of Internet Gaming Disorder (IGD) and the inclusion of IGD in DSM-5 and ICD-11 emphasizes the importance of measuring and describing the IGD symptoms. We examined the psychometric properties of the Diagnostic Interview for Internet Addiction (DIA), a semi-structured diagnostic interview tool for IGD, and verified the application of DIA in clinical practice for Korean adolescents. The DIA is conducted in a manner that interviews both adolescents and their caregivers, and each item has a standardized representative question and various examples. It consists of 10 items based on the DSM-5 IGD diagnostic criteria, which is cognitive salience, withdrawal, tolerance, difficulty in regulating use, loss of interest in other activities, persistent use despite negative results, deception regarding Internet/games/SNS use, use of Internet/games/SNS to avoid negative feelings, interference with role performance, and craving. The study included 103 adolescents divided into three subgroups (mild risk, moderate risk, and addicted group) based on the total score of DIA. Demographic and clinical characteristics were compared among the DIA subgroups using the chi-square test and analysis of variance (ANOVA), and correlation analysis was used to examine the associations of IGD symptoms with clinical variables (e.g., impulsivity, aggression, depression, anxiety, self-esteem). The DIA total score was significantly correlated with Internet and smartphone addiction, depression, state anxiety, self-esteem, impulsivity, aggression, and stress. Furthermore, the moderate risk and addicted group showed significantly higher levels of Internet and smartphone addiction, anxiety, depression, impulsivity, aggression, stress, and lower self-esteem compared with the mild risk group. The Junior Temperament and Character Inventory (JTCI), which measures temperament and character traits, revealed that the mild risk group had higher levels of persistence and self-directedness than did the addicted group. Our findings confirmed the psychometric properties of DIA and the application of the DIA classifications in Korean adolescents.
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Affiliation(s)
- Hyera Ryu
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul 07061, Korea; (H.R.); (J.Y.L.); (A.R.C.); (S.J.C.); (M.P.)
| | - Ji Yoon Lee
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul 07061, Korea; (H.R.); (J.Y.L.); (A.R.C.); (S.J.C.); (M.P.)
| | - A Ruem Choi
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul 07061, Korea; (H.R.); (J.Y.L.); (A.R.C.); (S.J.C.); (M.P.)
| | - Sun Ju Chung
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul 07061, Korea; (H.R.); (J.Y.L.); (A.R.C.); (S.J.C.); (M.P.)
| | - Minkyung Park
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul 07061, Korea; (H.R.); (J.Y.L.); (A.R.C.); (S.J.C.); (M.P.)
| | - Soo-Young Bhang
- Department of Psychiatry, Eulji General Hospital, Seoul 01830, Korea;
| | - Jun-Gun Kwon
- I Will Center, Seoul Metropolitan Boramae Youth Center, Seoul 07062, Korea;
| | - Yong-Sil Kweon
- Department of Psychiatry, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea College of Medicine, Gyeonggi 11765, Korea
- Correspondence: (Y.-S.K.); (J.-S.C.); Tel.: +82-31-1661-7500 (Y.-S.K.); +82-2-870-2177 (J.-S.C.)
| | - Jung-Seok Choi
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul 07061, Korea; (H.R.); (J.Y.L.); (A.R.C.); (S.J.C.); (M.P.)
- Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, Seoul 03080, Korea
- Correspondence: (Y.-S.K.); (J.-S.C.); Tel.: +82-31-1661-7500 (Y.-S.K.); +82-2-870-2177 (J.-S.C.)
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Fujiwara H, Yoshimura S, Kobayashi K, Ueno T, Oishi N, Murai T. Neural Correlates of Non-clinical Internet Use in the Motivation Network and Its Modulation by Subclinical Autistic Traits. Front Hum Neurosci 2019; 12:493. [PMID: 30618678 PMCID: PMC6295452 DOI: 10.3389/fnhum.2018.00493] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 11/22/2018] [Indexed: 12/02/2022] Open
Abstract
Background: Increasing evidence regarding the neural correlates of excessive or pathological internet use (IU) has accumulated in recent years, and comorbidity with depression and autism has been reported in multiple studies. However, psychological and neural correlates of non-clinical IU in healthy individuals remain unclear. Objectives: The aim of the current study was to investigate the relationships between non-clinical IU and functional connectivity (FC), focusing on the brain’s motivation network. We sought to clarify the influence of depression and autistic traits on these relationships in healthy individuals. Methods: Resting-state functional magnetic resonance imaging (fMRI) was performed in 119 healthy volunteers. IU, depression, and autistic traits were assessed using the Generalized Problematic Internet Use Scale 2 (GPIUS2), Beck Depression Inventory-II (BDI-II), and the autism spectrum quotient (AQ) scale, respectively. Correlational analyses were performed using CONN-software within the motivation-related network, which consisted of 22 brain regions defined by a previous response-conflict task-based fMRI study with a reward cue. We also performed mediation analyses via the bootstrap method. Results: Total GPIUS2 scores were positively correlated with FC between the (a) left middle frontal gyrus (MFG) and bilateral medial prefrontal cortex; (b) left MFG and right supplementary motor area (SMA); (c) left MFG and right anterior insula, and (d) right MFG and right insula. The “Mood Regulation” subscale of the GPIUS2 was positively correlated with FC between left MFG and right SMA. The “Deficient Self-Regulation” subscale was positively correlated with FC between right MFG and right anterior insula (statistical thresholds, FDR < 0.05). Among these significant correlations, those between GPIUS2 (total and “Mood Regulation” subscale) scores and FC became stronger after controlling for AQ scores (total and “Attention Switching” subscale), indicating significant mediation by AQ (95% CI < 0.05). In contrast, BDI-II had no mediating effect. Conclusion: Positive correlations between IU and FC in the motivation network may indicate health-promoting effects of non-clinical IU. However, this favorable association is attenuated in individuals with subclinical autistic traits, suggesting the importance of a personalized educational approach for these individuals in terms of adequate IU.
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Affiliation(s)
- Hironobu Fujiwara
- Integrated Clinical Education Center, Kyoto University Hospital, Kyoto, Japan.,Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.,Artificial Intelligence Ethics and Society Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
| | - Sayaka Yoshimura
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Kyoto University, Kyoto, Japan
| | - Kei Kobayashi
- Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tsukasa Ueno
- Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Naoya Oishi
- Medical Innovation Center, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Toshiya Murai
- Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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50
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Kneer J, Borchardt V, Kärgel C, Sinke C, Massau C, Tenbergen G, Ponseti J, Walter H, Beier KM, Schiffer B, Schiltz K, Walter M, Kruger THC. Diminished fronto-limbic functional connectivity in child sexual offenders. J Psychiatr Res 2019. [PMID: 29530321 DOI: 10.1016/j.jpsychires.2018.01.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Child sexual abuse and neglect have been related to an increased risk for the development of a wide range of behavioral, psychological, and sexual problems and increased rates of suicidal behavior. Contrary to the large amount of research focusing on the negative mental health consequences of child sexual abuse, very little is known about the characteristics of child sexual offenders and the neuronal underpinnings contributing to child sexual offending. METHODS AND SAMPLE This study investigates differences in resting state functional connectivity (rs-FC) between non-pedophilic child sexual offenders (N = 20; CSO-P) and matched healthy controls (N = 20; HC) using a seed-based approach. The focus of this investigation of rs-FC in CSO-P was put on prefrontal and limbic regions highly relevant for emotional and behavioral processing. RESULTS Results revealed a significant reduction of rs-FC between the right centromedial amygdala and the left dorsolateral prefrontal cortex in child sexual offenders compared to controls. CONCLUSION & RECOMMENDATIONS Given that, in the healthy brain, there is a strong top-down inhibitory control of prefrontal over limbic structures, these results suggest that diminished rs-FC between the amygdala and the dorsolateral prefrontal cortex and may foster sexual deviance and sexual offending. A profound understanding of these concepts should contribute to a better understanding of the occurrence of child sexual offending, as well as further development of more differentiated and effective interventions.
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Affiliation(s)
- Jonas Kneer
- Division of Clinical Psychology and Sexual Medicine, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Carl-Neuberg Strasse 1, D-30625 Hannover, Germany
| | - Viola Borchardt
- Clinical Affective Neuroimaging Laboratory, Magdeburg, Germany; Leibniz Institute for Neurobiology, Department of Behavioral Neurology, Magdeburg, Germany
| | - Christian Kärgel
- LWL-University Hospital Bochum, Division of Forensic Psychiatry, Alexandrinenstr. 1-3, 44791 Bochum, Germany
| | - Christopher Sinke
- Division of Clinical Psychology and Sexual Medicine, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Carl-Neuberg Strasse 1, D-30625 Hannover, Germany
| | - Claudia Massau
- LWL-University Hospital Bochum, Division of Forensic Psychiatry, Alexandrinenstr. 1-3, 44791 Bochum, Germany
| | - Gilian Tenbergen
- Department of Psychology, SUNY College at Oswego, Oswego, NY, USA
| | - Jorge Ponseti
- Institute of Sexual Medicine and Forensic Psychiatry and Psychotherapy, Kiel University, Medical School, Kiel, Germany
| | - Henrik Walter
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Klaus M Beier
- Institute of Sexology and Sexual Medicine, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Boris Schiffer
- LWL-University Hospital Bochum, Division of Forensic Psychiatry, Alexandrinenstr. 1-3, 44791 Bochum, Germany
| | - Kolja Schiltz
- Department of Forensic Psychiatry, Psychiatric Hospital of the Ludwig-Maximilians-University, München, Germany; (j)Otto-von-Guericke-University Magdeburg, Department of Psychiatry, Leipziger Str. 44, 39120 Magdeburg, Germany
| | - Martin Walter
- Department of Psychiatry University of Tübingen Osianderstr. 24, 72076 Tübingen, Germany
| | - Tillmann H C Kruger
- Division of Clinical Psychology and Sexual Medicine, Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Carl-Neuberg Strasse 1, D-30625 Hannover, Germany
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