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Mei B, Tao Q, Dang J, Niu X, Sun J, Zhang M, Wang W, Han S, Zhang Y, Cheng J. Meta-analysis of structural and functional abnormalities in behavioral addictions. Addict Behav 2024; 157:108088. [PMID: 38924904 DOI: 10.1016/j.addbeh.2024.108088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 06/07/2024] [Accepted: 06/08/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND The incidence of behavioral addictions (BAs) associated with scientific and technological advances has been increasing steadily. Unfortunately, a large number of studies on the structural and functional abnormalities have shown poor reproducibility, and it remains unclear whether different addictive behaviors share common underlying abnormalities. Therefore, our objective was to conduct a quantitative meta-analysis of different behavioral addictions to provide evidence-based evidence of common structural and functional changes. METHODS We conducted systematic searches in PubMed, Web of Science and Scopus from January 2010 to December 2023, supplementing reference lists of high-quality relevant meta-analyses and reviews, to identify eligible voxel-based morphometry (VBM) and functional magnetic resonance imaging (fMRI) studies. Using anisotropic seed-based D-Mapping (AES-SDM) meta-analysis methods, we compared brain abnormalities between BAs and healthy controls (HCs). RESULTS There were 11 GMV studies (287 BAs and 292 HCs) and 26 fMRI studies (577 BAs and 545 HCs) that met inclusion criteria. Compared with HCs, BAs demonstrated significant reductions in gray matter volume (GMV) in (1) right anterior cingulate gyri extending into the adjacent superior frontal gyrus, as well as in the left inferior frontal gyrus and right striatum. (2) the bilateral precuneus, right supramarginal gyrus, and right fusiform gyrus were hyperfunction; (3) the left medial cingulate gyrus extended to the superior frontal gyrus, the left inferior frontal gyrus, and right middle temporal gyrus had hypofunction. CONCLUSIONS Our study identified structural and functional impairments in brain regions involved in executive control, cognitive function, visual memory, and reward-driven behavior in BAs. Notably, fronto-cingulate regions may serve as common biomarkers of BAs.
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Affiliation(s)
- Bohui Mei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Jinghan Dang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Xiaoyu Niu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Jieping Sun
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Weijian Wang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China.
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China.
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, China; Henan Engineering Technology Research Center for detection and application of brain function, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, China; Henan key laboratory of imaging intelligence research, China; Henan Engineering Research Center of Brain Function Development and Application, China.
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Zhou M, Gao G, Rong B, Zhao H, Huang J, Tu N, Bu L, Xiao L, Wang G. Sex differences of neural connectivity in internet gaming disorder and its association with sleep quality: an exploratory fMRI study. Front Psychiatry 2024; 15:1379259. [PMID: 38873537 PMCID: PMC11169786 DOI: 10.3389/fpsyt.2024.1379259] [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: 01/30/2024] [Accepted: 05/15/2024] [Indexed: 06/15/2024] Open
Abstract
Objectives Sex-specific differences in internet gaming disorder (IGD) neurophysiology remain underexplored. Here we investigated sex-related variability in regional homogeneity (ReHo) and functional connectivity (FC) in IGD and their correlations with sleep quality. Methods Resting-state functional magnetic resonance imaging (fMRI) scans were performed on 52 subjects with IGD and 50 healthy controls (HCs). Two-way ANOVA was used to examine sex and diagnosis interactions in ReHo and FC, followed by post-hoc analyses to explore FC biomarkers for different sexes. Results In ReHo analysis, the four groups showed significant sex and diagnosis interactions in the right middle frontal gyrus (rMFG). FC analysis with rMFG as the seed region revealed a significant sex and diagnosis interaction effect in FC of the rMFG with the bilateral postcentral gyrus (PoCG). In male IGD group, FC between the rMFG and the bilateral PoCG correlates strongly with daytime dysfunction score and the Pittsburgh sleep quality inventory (PSQI) total score. Conclusion These findings emphasize the importance of considering sexual dimorphism in the neurobiology of IGD, which might influence subsequent treatment strategies.
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Affiliation(s)
- Mingzhe Zhou
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Guoqing Gao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Bei Rong
- Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Haomian Zhao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Junhua Huang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Ning Tu
- PET-CT/MR Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Lihong Bu
- PET-CT/MR Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Ling Xiao
- Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
- Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan, Hubei, China
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Casile A, Marraudino M, Bonaldo B, Micioni Di Bonaventura MV, Nasini S, Cifani C, Gotti S. Novel rat model of gaming disorder: assessment of social reward and sex differences in behavior and c-Fos brain activity. Psychopharmacology (Berl) 2024:10.1007/s00213-024-06576-y. [PMID: 38575792 DOI: 10.1007/s00213-024-06576-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 03/14/2024] [Indexed: 04/06/2024]
Abstract
RATIONALE In 2018, the International Classification of Diseases (ICD-11) classified Gaming Disorder (GD) as a mental disorder. GD mainly occurs among adolescents, who, after developing addiction, show psychopathological traits, such as social anxiety, depression, social isolation, and attention deficit. However, the different studies conducted in humans so far show several limitations, such as the lack of demographic heterogeneity and equal representation of age, differences in the type of game and in the follow-up period. Furthermore, at present, no animal models specific to GD are available. OBJECTIVES To address the lack of an experimental model for GD, in the present work, we proposed a new GD rat model to investigate some peculiar tracts of the disorder. METHODS Two-month-old Wistar Kyoto rats, both males and females, were subject to a five-week training with a new innovative touch-screen platform. After five weeks of training, rats were assessed for: (a) their attachment to the play under several conditions, (b) their hyperactivity during gaming, and (c) the maintenance of these conditions after a period of game pause and reward interruption. After sacrifice, using immunohistochemistry techniques, the immunoreactivity of c-Fos (a marker of neuronal activity) was analyzed to study different neural areas. RESULTS After the training, the rats subjected to GD protocol developed GD-related traits (e.g., hyperactivity, loss control), and the behavioral phenotype was maintained consistently over time. These aspects were completely absent in the control groups. Lastly, the analysis of c-Fos immunoreactivity in prelimbic cortex (PrL), orbitofrontal cortex (OFC), nucleus Accumbens, amygdala and bed nucleus of stria terminalis (BNST) highlighted significant alterations in the GD groups compared to controls, suggesting modifications in neural activity related to the development of the GD phenotype. CONCLUSIONS The proposal of a new GD rat model could represent an innovative tool to investigate, in both sexes, the behavioral and neurobiological features of this disorder, the possible role of external factors in the predisposition and susceptibility and the development of new pharmacological therapies.
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Affiliation(s)
- Antonino Casile
- School of Pharmacy, Pharmacology Unit, Pharmacology Unit, University of Camerino, Via Madonna delle Carceri, 9, Camerino, 62032, Italy.
- Neuroscience Institute Cavalieri Ottolenghi (NICO), University of Turin, Regione Gonzole, 10, Orbassano, Turin, TO, 10043, Italy.
| | - Marilena Marraudino
- Neuroscience Institute Cavalieri Ottolenghi (NICO), University of Turin, Regione Gonzole, 10, Orbassano, Turin, TO, 10043, Italy
- Department of Neuroscience "Rita Levi-Montalcini", Via Cherasco 15, Turin, TO, 10126, Italy
| | - Brigitta Bonaldo
- Neuroscience Institute Cavalieri Ottolenghi (NICO), University of Turin, Regione Gonzole, 10, Orbassano, Turin, TO, 10043, Italy
- Department of Neuroscience "Rita Levi-Montalcini", Via Cherasco 15, Turin, TO, 10126, Italy
- Department of Health Sciences and Research Center on Autoimmune and Allergic Diseases (CAAD), University of Piemonte Orientale (UPO), Novara, Italy
| | | | - Sofia Nasini
- Laboratory of Molecular and Cellular Pharmacology, Department of Pharmacology, University of Padua, Largo Egidio Meneghetti, 2, Padua, 35131, Italy
| | - Carlo Cifani
- School of Pharmacy, Pharmacology Unit, Pharmacology Unit, University of Camerino, Via Madonna delle Carceri, 9, Camerino, 62032, Italy.
| | - Stefano Gotti
- Neuroscience Institute Cavalieri Ottolenghi (NICO), University of Turin, Regione Gonzole, 10, Orbassano, Turin, TO, 10043, Italy
- Department of Neuroscience "Rita Levi-Montalcini", Via Cherasco 15, Turin, TO, 10126, Italy
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Qiu X, Han X, Wang Y, Ding W, Sun Y, Lei H, Zhou Y, Lin F. Interaction effects between smoking and internet gaming disorder on resting-state functional connectivity of the ventral tegmental area and hippocampus. Front Neurosci 2023; 17:1270014. [PMID: 37965221 PMCID: PMC10641398 DOI: 10.3389/fnins.2023.1270014] [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: 07/31/2023] [Accepted: 09/21/2023] [Indexed: 11/16/2023] Open
Abstract
Background Many reports have focused on cigarette smoking and internet gaming disorder (IGD), with widespread alterations of resting-state functional connectivity (rsFC) in the reward and memory circuits, respectively. Epidemiological studies have also shown high comorbidity of cigarette smoking and IGD. However, the underlying mechanisms are still unknown. Therefore, this study investigates the comorbidity and interaction effects between smoking and IGD from the rsFC perspective. Methods Resting-state functional magnetic imaging data were collected from 60 healthy controls (HC), 46 smokers, 38 IGD individuals, and 34 IGD comorbid with smoking (IGDsm) participants. Voxel-wise rsFC maps were calculated for all subjects with the ventral tegmental area, rostral hippocampus, and caudal hippocampus as regions of interest, respectively. Results Significant interaction effects between smoking and IGD were mainly involved in the reward and memory circuits; that is, the rsFC between the ventral tegmental area and right nucleus accumbens, between the rostral hippocampus and bilateral nucleus accumbens, sensorimotor areas, and left middle temporal gyrus. Specifically, in these circuits, smokers showed decreased rsFC compared to the HC group, while IGDsm showed increased rsFC compared to smokers and IGD individuals. The IGDsm and HC groups showed no significant difference. The altered rsFC also correlated with clinical measures. Conclusion These findings indicate that lower rsFC in smokers or IGD individuals increases under the effect of another type of addiction, such as smoking and IGD, but only increases to the normal state, which might explain the comorbidity and interaction between smoking and IGD from the perspective of functional circuits.
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Affiliation(s)
- Xianxin Qiu
- Third-Grade Pharmacological Laboratory on Traditional Chinese Medicine, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, China
- College of Medicine and Health Sciences, China Three Gorges University, Yichang, China
- National Center for Magnetic Resonance in Wuhan, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
| | - Xu Han
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yao Wang
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Weina Ding
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yawen Sun
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hao Lei
- National Center for Magnetic Resonance in Wuhan, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yan Zhou
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 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, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
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Mohammadi S, Jahanshahi A, Salehi MA, Darvishi R, Seyedmirzaei H, Luna LP. White matter microstructural changes in internet addiction disorder: A systematic review of diffusion tensor imaging studies. Addict Behav 2023; 143:107690. [PMID: 36989701 DOI: 10.1016/j.addbeh.2023.107690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 03/03/2023] [Accepted: 03/07/2023] [Indexed: 03/29/2023]
Abstract
Diffusion tensor imaging (DTI) is a kind of magnetic resonance imaging (MRI) modality that helps designate tracts with brain microstructural changes. Internet gaming disorder (IGD) is an internet addiction that can cause many social and personality problems, such as problems in social communication, anxiety, and depression. There are several pieces of evidence showing the impact of this condition on brain regions, and many studies have investigated DTI measurements in these individuals. Therefore, we decided to systematically review the studies that have reported DTI parameters in IGD individuals. We searched the PubMed and Scopus databases to find relevant articles. Two reviewers separately screened the studies, and finally, 14 articles, including diffusion and network studies, were found eligible for our systematic review. Most of the studies reported findings on FA, showing an increase in the thalamus, anterior thalamic radiation, corticospinal tract, and inferior longitudinal fasciculus (ILF), while other regions mentioned in the studies demonstrated inconsistent findings. Moreover, in network studies, IGD individuals showed a decrease in nodal and global efficiencies. In conclusion, our study illuminates the neuropsychological basis of this condition and suggests that internet gaming can correlate with microstructural abnormalities in the central nervous system. Some correlate with the characteristics of online gaming, the addiction state, and the illness's duration.
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Lu L, Yang W, Zhao D, Wen X, Liu J, Liu J, Yuan K. Brain recovery of the NAc fibers and prediction of craving changes in person with heroin addiction: A longitudinal study. Drug Alcohol Depend 2023; 243:109749. [PMID: 36565569 DOI: 10.1016/j.drugalcdep.2022.109749] [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: 08/17/2022] [Revised: 11/14/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Progress have been made in brain function recovery after long-term abstinence in person with heroin addiction (PHA). However, less is known about whether the nucleus accumbens (NAc) white matter pathways can recover in PHA by prolonged abstinence. METHODS Forty-two PHA and Thirty-nine age- and gender- matched healthy controls (HCs) were recruited. Two MRI scans were obtained at baseline (PHA1) and 8-month follow-up (PHA2). We employed tractography atlas-based analysis (TABS) method to investigate fractional anisotropy (FA) changes in NAc fiber tracts (i.e., Insula-NAc, ventral tegmental area (VTA)-NAc, medial prefrontal cortex (MPFC)-NAc) in PHA. A partial least square regression (PLSR) analysis was carried to explore whether FA of NAc fiber tracts can predict longitudinal craving changes. RESULTS Relative to HCs, lower FA was found in the right Insula-NAc and VTA-NAc fiber tracts in PHA1, and PHA2 showed increased FA values in these tracts compared with PHA1. Furthermore, changes of FA of NAc fiber tracts can predict longitudinal craving changes (r = 0.51). Additionally, craving changes can also be predicted from FA changes in the left Insula-NAc (r = 0.601) and VTA-NAc (r = 0.384) fiber alone. CONCLUSIONS Results indicated that the right Insula-NAc and VTA-NAc fiber tracts are potential biomarkers for brain recovery. Prediction of craving changes highlighted the utility of structural markers to inform clinical decision-making of treatment for PHA.
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Affiliation(s)
- Ling Lu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Wenhan Yang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Desheng Zhao
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Xinwen Wen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China.
| | - Jixin Liu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, China.
| | - Kai Yuan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & 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, China; Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, China.
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Chen H, Dong G, Li K. Overview on brain function enhancement of Internet addicts through exercise intervention: Based on reward-execution-decision cycle. Front Psychiatry 2023; 14:1094583. [PMID: 36816421 PMCID: PMC9933907 DOI: 10.3389/fpsyt.2023.1094583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 01/13/2023] [Indexed: 02/05/2023] Open
Abstract
Internet addiction (IA) has become an impulse control disorder included in the category of psychiatric disorders. The IA trend significantly increased after the outbreak of the new crown epidemic. IA damages some brain functions in humans. Emerging evidence suggests that exercise exerts beneficial effects on the brain function and cognitive level damaged by IA. This work reviews the neurobiological mechanisms of IA and describes the brain function impairment by IA from three systems: reward, execution, and decision-making. Furthermore, we sort out the research related to exercise intervention on IA and its effect on improving brain function. The internal and external factors that produce IA must be considered when summarizing movement interventions from a behavioral perspective. We can design exercise prescriptions based on exercise interests and achieve the goal of quitting IA. This work explores the possible mechanisms of exercise to improve IA through systematic analysis. Furthermore, this work provides research directions for the future targeted design of exercise prescriptions.
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Affiliation(s)
- Hao Chen
- Department of Sports, Quzhou University, Quzhou, China.,Department of Graduate School of Education, Shandong Sport University, Jinan, China
| | - Guijun Dong
- Department of Sports, Quzhou University, Quzhou, China.,Department of Graduate School of Education, Shandong Sport University, Jinan, China
| | - Kefeng Li
- Department of Medicine, Quzhou College of Technology, Quzhou, China
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Yu F, Li J, Xu L, Zheng X, Fu M, Li K, Yao S, Kendrick KM, Montag C, Becker B. Opposing associations of Internet Use Disorder symptom domains with structural and functional organization of the striatum: A dimensional neuroimaging approach. J Behav Addict 2022; 11:1068-1079. [PMID: 36422683 PMCID: PMC9881660 DOI: 10.1556/2006.2022.00078] [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: 05/08/2022] [Revised: 08/18/2022] [Accepted: 10/08/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Accumulating evidence suggests brain structural and functional alterations in Internet Use Disorder (IUD). However, conclusions are strongly limited due to the retrospective case-control design of the studies, small samples, and the focus on general rather than symptom-specific approaches. METHODS We here employed a dimensional multi-methodical MRI-neuroimaging design in a final sample of n = 203 subjects to examine associations between levels of IUD and its symptom-dimensions (loss of control/time management, craving/social problems) with brain structure, resting state and task-based (pain empathy, affective go/no-go) brain function. RESULTS Although the present sample covered the entire range of IUD, including normal, problematic as well as pathological levels, general IUD symptom load was not associated with brain structural or functional alterations. However, the symptom-dimensions exhibited opposing associations with the intrinsic and structural organization of the brain, such that loss of control/time management exhibited negative associations with intrinsic striatal networks and hippocampal volume, while craving/social problems exhibited a positive association with intrinsic striatal networks and caudate volume. CONCLUSIONS Our findings provided the first evidence for IUD symptom-domain specific associations with progressive alterations in the intrinsic structural and functional organization of the brain, particularly of striatal systems involved in reward, habitual and cognitive control processes.
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Affiliation(s)
- Fangwen Yu
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Jialin Li
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Lei Xu
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China,Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
| | - Xiaoxiao Zheng
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China,Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Meina Fu
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Keshuang Li
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Shuxia Yao
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Keith M. Kendrick
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Christian Montag
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China,Department of Molecular Psychology, Institute of Psychology and Education, Ulm University, Ulm, Germany
| | - Benjamin Becker
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China,Corresponding author. E-mail:
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Do Individuals with Internet Gaming Disorder Share Personality Traits with Substance-Dependent Individuals? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159536. [PMID: 35954898 PMCID: PMC9368036 DOI: 10.3390/ijerph19159536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/28/2022] [Accepted: 07/30/2022] [Indexed: 02/01/2023]
Abstract
(1) Background: Internet gaming disorder (IGD) shares many similarities with substance use disorder (SUD), contributing to its recognition as an addictive disorder. Nevertheless, no study has compared IGD to other addictive disorders in terms of personality traits established as highly co-occurring with SUDs. (2) Methods: We recruited a sample of gamers (massively multiplayer online role-playing games) (MMORPGs) via online in-game forums. We compared 83 individuals with IGD (MMORPG-IGD group) to 47 former heroin addicts under methadone maintenance treatment (MMT; MMT group) with regard to alexithymia, impulsivity, sensation seeking and aggressiveness assessed through self-administered scales, being TAS-20, BIS-10, Z-SSS and BDHI, respectively. (3) Results: Our results draw a relatively similar personality profile between groups but indicate that the subject traits are generally more pronounced in the MMT cohort. The overall lesser intensity of these traits in the MMORPG-IGD group might reflect the greater variability in the severity of the IGD. (4) Conclusions: IGD shares personality traits with MMT, and intensity may be influenced by the severity of the addiction or by certain direct environmental factors, and might also influence the propensity towards one behavior rather than another.
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Achab S, Rothen S, Giustiniani J, Nicolier M, Franc E, Zullino D, Mauny F, Haffen E. Predictors of Gaming Disorder or Protective from It, in a French Sample: A Symptomatic Approach to Self-Regulation and Pursued Rewards, Providing Insights for Clinical Practice. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159476. [PMID: 35954855 PMCID: PMC9367741 DOI: 10.3390/ijerph19159476] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 07/27/2022] [Accepted: 07/30/2022] [Indexed: 02/05/2023]
Abstract
Gaming disorder (GD) is a new health condition still requiring a lot of evidence established around its underlying and related psychological mechanisms. In our study we focused on Massively Multiplayer Online Role Playing Games (MMORPGs), a specific very popular and engaging game genre, to determine that benefit, motivation and control aspects could be predictive of a dysfunctional engagement in gaming. In total, 313 participants were recruited from private forums of gamers between May 2009 and March 2010. They filled out a questionnaire on their socio-demographic data and their weekly gaming time. They also completed different psychometric assessments such as the DSM IV-TR criteria for substance dependence adapted to gaming such as the Dependence Adapted Scale (DAS), the external rewards they expected from gaming (External Motives), the expected internal reward they expected from gaming (Internal Motives), the Zuckerman Sensation Seeking Scale (ZSSS), and the Barratt impulsiveness Scale (BIS-10). Results showed that some psychological factors related to online gaming represented risk factors for GD in participants (i.e., competition and advancement motives, reduced anxiety, solace, greater personal satisfaction, and sense of power), whereas some others were found to be protective factors from GD (i.e., recreation, enjoyment and experience seeking) in participants. Additionally, the study found that disinhibition, boredom susceptibility, thrill and adventure seeking, and high impulsivity were correlated to GD in participants. In conclusion, not only motives for gaming and impulsivity could be predictors for GD, but maladaptive coping strategies based on experienced relief in-game from negative feelings (anxiety and boredom) or experienced improvement in-game of self-perception (personal satisfaction, sense of power) could play as well a role of negative reinforcers for GD. Some benefits from gaming, typically entertainment and enjoyment, are shown to be protective factors from GD, playing the role of positive reinforcing factors. They are worthy of being identified and promoted as functional gaming habits. These findings can feed the clinical and health promotion fields, with a more in-depth understanding of diverse psychological factors in gamers, identifying those at risk for GD and those protective from it. The current work can foster a more balanced approach towards gaming activities, taking their opportunities for mankind and controlling for their adverse effects in some individuals.
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Affiliation(s)
- Sophia Achab
- Department of Psychiatry, Faculty of Medicine, Geneva University, 1205 Geneva, Switzerland; (E.F.); (D.Z.)
- Correspondence: ; Tel.: +41-223725750
| | - Stephane Rothen
- Research Centre for Statistics, Faculty of Economy and Management, Geneva University, 1205 Geneva, Switzerland;
| | - Julie Giustiniani
- Centre d’Investigation Clinique, INSERM CIC 1431, Centre Hospitalier Universitaire de Besançon, 25000 Besançon, France; (J.G.); (M.N.); (E.H.)
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive (UR LINC), Université Bourgogne Franche-Comté, 25000 Besançon, France
| | - Magali Nicolier
- Centre d’Investigation Clinique, INSERM CIC 1431, Centre Hospitalier Universitaire de Besançon, 25000 Besançon, France; (J.G.); (M.N.); (E.H.)
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive (UR LINC), Université Bourgogne Franche-Comté, 25000 Besançon, France
| | - Elizabeth Franc
- Department of Psychiatry, Faculty of Medicine, Geneva University, 1205 Geneva, Switzerland; (E.F.); (D.Z.)
| | - Daniele Zullino
- Department of Psychiatry, Faculty of Medicine, Geneva University, 1205 Geneva, Switzerland; (E.F.); (D.Z.)
| | - Frederic Mauny
- Unité de Méthodologie en Recherche Clinique, Épidémiologie et Santé Publique, CIC Inserm 143, University Hospital, 25000 Besançon, France;
- UMR CNRS 6249 Chrono Environnement, Franche-Comté University, 25000 Besançon, France
| | - Emmanuel Haffen
- Centre d’Investigation Clinique, INSERM CIC 1431, Centre Hospitalier Universitaire de Besançon, 25000 Besançon, France; (J.G.); (M.N.); (E.H.)
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive (UR LINC), Université Bourgogne Franche-Comté, 25000 Besançon, France
- Fondation FondaMental, 94000 Créteil, France
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11
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Wan L, Zha R, Ren J, Li Y, Zhao Q, Zuo H, Zhang X. Brain morphology, harm avoidance, and the severity of excessive internet use. Hum Brain Mapp 2022; 43:3176-3183. [PMID: 35332975 PMCID: PMC9188967 DOI: 10.1002/hbm.25842] [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: 01/19/2022] [Revised: 02/15/2022] [Accepted: 03/06/2022] [Indexed: 11/19/2022] Open
Abstract
As the previous studies have mainly focused on the reward system and the corresponding brain regions, the relationship between brain morphology and excessive internet use (EIU) were not clear; the purpose of the study was to investigate if the brain regions other than the reward system were associated with EIU. Data were acquired from 131 excessive internet users. Psychological measures included internet use, life quality, personality, mental illness symptoms, impulsivity, and thought suppression. The brain was scanned with 3T magnetic resonance imaging (MRI) and six types of brain morphological indexes were calculated. Lasso regression methods were used to select the predictors. Stepwise linear regression methods were used to build the models and verify the model. The variables remaining in the model were left precentral (curve), left superior temporal (surface area), right cuneus (folding index), right rostral anterior cingulate (folding index), and harm avoidance. The independent variable was the EIU score of the worst week in the past year. The study found that the brain morphological indexes other than the reward system, including the left precentral (curve), the left superior temporal (surface area), the right cuneus (folding index), and the right rostral anterior cingulate (folding index), can predict the severity of EIU, suggesting an extensive change in the brain. In this study, a whole‐brain data analysis was conducted and it was concluded that the changes in certain brain regions were more predictive than the reward system and psychological measures or more important for EIU.
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Affiliation(s)
- Li Wan
- Anhui Mental Health Center, Hefei Fourth People's Hospital, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.,Anhui Branch of National Clinical Research Center for Mental Disorders, Hefei, China.,Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Rujing Zha
- Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
| | - Jiecheng Ren
- Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
| | - Ying Li
- Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
| | - Qian Zhao
- Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
| | - Huilin Zuo
- Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China
| | - Xiaochu Zhang
- Department of Radiology, The First Affiliated Hospital of USTC, School of Life Science, Division of Life Science and Medicine, University of Science & Technology of China, Hefei, China.,National Laboratory for Physical Sciences at the Microscale, Hefei, China
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12
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Gray matter alteration in medication overuse headache: a coordinates-based activation likelihood estimation meta-analysis. Brain Imaging Behav 2022; 16:2307-2319. [PMID: 35143020 PMCID: PMC9581858 DOI: 10.1007/s11682-022-00634-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2022] [Indexed: 11/02/2022]
Abstract
Medication overuse headache (MOH) is a prevalent secondary headache, bringing heavy economic burden and neuropsychological damage. Neuroimaging studies on the disease reported divergent results. To merge the reported neuroimaging alterations in MOH patients and explore a pathophysiological mechanism of this disorder. A meta-analytic activation likelihood estimation (ALE) analysis method was used. We systematically searched English and Chinese databases for both morphological and functional neuroimaging studies published before Nov 18, 2021. Reported altered brain regions and the stereotactic coordinates of their peaks were extracted and pooled by GingerALE using Gaussian probability distribution into brain maps, illustrating converged regions of alteration among studies. We identified 927 articles, of which five studies on gray matter changes, using voxel-based morphometry (VBM) were eventually included for ALE analysis, with 344 subjects and 54 coordinates put into GingerALE. No functional magnetic resonance imaging (fMRI) or positron emission topography (PET) studies were included for pooling. Compared with healthy controls (HCs), MOH featured increased gray matter density in midbrain, striatum, cingulate, inferior parietal cortex and cerebellum (P < 0.001 uncorrected), whereas decreased gray matter density in orbitofrontal cortex (P < 0.05, family-wise error), frontal, insular and parietal cortices (P < 0.001 uncorrected). Withdrawal of analgesics led to decreased gray matter density in superior temporal gyrus, cuneus, midbrain and cerebellum (P < 0.001 uncorrected). This meta-analysis confirmed that medication overuse headache is associated with morphologic alteration in the reward system, the prefrontal cortex and a reversible modification in the pain network. Further functional imaging paradigms and longitudinal studies are required for a more definite conclusion and a causal mechanism.
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13
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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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14
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Kim SJ, Eom H, Hoon Jung Y, Kim MK, Kim E, Kim JJ. Brain functional connectivity during and after imagery of gaming and alternative leisure activities in patients with internet gaming disorder. Neurosci Lett 2022; 772:136451. [PMID: 35041909 DOI: 10.1016/j.neulet.2022.136451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 01/10/2022] [Accepted: 01/10/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND The effect of gaming cue exposure on brain activity in patients with internet gaming disorder (IGD) has been investigated a lot, but the effect on brain connectivity has not. This study aimed to investigate the effects of imageries of gaming and alternative leisure activities on functional connectivity during the during-task and post-task states in patients with IGD. METHODS Twenty-nine patients and 20 healthy controls were scanned in the 6-min states before, during, and after the imagery tasks for gaming and alternative leisure behaviors using fMRI. Seed-based functional connectivity during and after the tasks were analyzed. The seeds were the nucleus accumbens (NAcc), ventral tegmental area (VTA), caudate, putamen, anterior cingulate cortex (ACC), and posterior cingulate cortex. RESULTS The group-by-state interaction effects for the during-tasks were found in caudate-, putamen-, and ACC-based connectivity, whereas those for the post-tasks were shown only in NAcc-based connectivity. In particular, patients showed that caudate-right parahippocampal gyrus connectivity and putamen-right orbitofrontal cortex connectivity increased during gaming and decreased during alternative, whereas NAcc-right precuneus connectivity decreased at baseline, increased in post-gaming, and were not different in post-alternative. CONCLUSION Differences in during-task connectivity of the habit/motor and salience networks and post-task resting-state connectivity of the reward and limbic networks between the two imagery tasks may differ between the groups. In the treatment of IGD, when these network connections are reactive to alternative leisure activity, just as to gaming activity, they seem to be freed from gaming addiction.
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Affiliation(s)
- Soo-Jeong Kim
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyojung Eom
- Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Hoon Jung
- 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
| | - Eunjoo 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
| | - 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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15
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Wu Q, Ren Q, Zhong N, Bao J, Zhao Y, Du J, Chen T, Zhao M. Internet behavior patterns of adolescents before, during, and after COVID-19 pandemic. Front Psychiatry 2022; 13:947360. [PMID: 36440398 PMCID: PMC9685307 DOI: 10.3389/fpsyt.2022.947360] [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: 05/18/2022] [Accepted: 10/24/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND The outbreak of COVID-19 has affected the mental health of adolescents. To describe the Internet behavior-changing patterns of adolescents and to understand the impact of clinical features on changing patterns during the COVID-19 pandemic. MATERIALS AND METHODS We conducted a cross-sectional cohort study using data collected through online investigation in China. A total of 625 adolescents completed the online survey from May 15 to June 7, 2020. The adolescents were asked to retrospect to the Internet behaviors and game behaviors of three time periods as follows: before the COVID-19 outbreak in China, during the COVID-19 outbreak in China, and back to school. The clinical variables of the demographic data, family functionality, and emotional and behavioral symptoms were also collected. According to the Internet behaviors and game behaviors patterns across the three time periods, the subjects will be sub-grouped. RESULTS Four Internet behavior-changing patterns during the COVID-19 was identified: (1) Continuous Normal Group (55.52%); (2) Normal to Internet Addiction Group (5.28%); (3) Internet Addiction to Normal Group (14.56%); and (4) Continuous Internet Addiction Group (24.64%). Years of education, academic score ranking, family functionality, and emotional and behavioral symptoms were different across the four groups. Proportions of game behaviors, scores of Strengths and Difficulties Questionnaire (SDQ), and SDQ subscale during the period before the COVID-19 outbreak were significant in predicting changing patterns. CONCLUSION The Internet behavior patterns of adolescents during the COVID-19 period were various. Clinical features before the COVID-19 pandemic may predict changing patterns. The heterogeneity in characteristics between different changing patterns should be considered when intervening in adolescents' problematic Internet behavior.
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Affiliation(s)
- Qianying Wu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qihuan Ren
- Shanghai Hongkou Mental Health Center, Shanghai, China
| | - Na Zhong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Juwang Bao
- Jiangxi Maternal and Child Health Hospital, Maternal and Child Health Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yan Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiang Du
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianzhen Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.,Institute of Psychological and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.,CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Sciences, Shanghai, China
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16
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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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17
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Zhou W, Wang Y, Wang M, Wang Z, Zheng H, Wang M, Potenza MN, Dong G. Connectome-based prediction of craving for gaming in internet gaming disorder. Addict Biol 2022; 27:e13076. [PMID: 34176197 DOI: 10.1111/adb.13076] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 06/15/2021] [Accepted: 06/18/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND Craving-related brain responses have been associated with the emergence and maintenance of addictions. However, little is known about brain network organizations underlying cravings in internet gaming disorder (IGD). METHODS Sixty-six IGD subjects and 61 matched individuals with recreational game use (RGU) were scanned while performing a cue-craving task. A recently developed whole-brain analysis approach, connectome-based predictive modelling (CPM) with leave-one-out cross-validation was conducted to identify networks that predicted craving responses in IGD. Then, the craving network was tested in different brain states (cue-craving under deprivation) to investigate replicability. RESULTS CPM identified an IGD craving network, as indicated by a significant correspondence between predicted and actual craving values (r = 0.49, p < 0.001), characterized by within-network default mode (DMN) connectivity and connectivity between canonical networks implicated in executive/cognitive control (frontoparietal, medial frontal, DMN) and reward responsiveness (subcortical, motor/sensory). Network strength in the cue-craving task during gaming deprivation also predicted IGD craving scores (r = 0.43, p = 0.017), indicating network replication across brain states. CONCLUSIONS The CPM results demonstrate that individual differences in cognitive, attention, and control network function can predict craving intensities in IGD subjects. These networks may be targets for potential interventions using brain modulation.
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Affiliation(s)
- Wei‐ran Zhou
- Center for Cognition and Brain Disorders The Affiliated Hospital of Hangzhou Normal University Hangzhou Zhejiang Province China
- Institutes of Psychological Sciences Hangzhou Normal University Hangzhou Zhejiang Province China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou Zhejiang Province China
- College of Education Hangzhou Normal University Hangzhou Zhejiang Province China
| | - Yi‐ming Wang
- College of Education Hangzhou Normal University Hangzhou Zhejiang Province China
| | - Min Wang
- Center for Cognition and Brain Disorders The Affiliated Hospital of Hangzhou Normal University Hangzhou Zhejiang Province China
- Institutes of Psychological Sciences Hangzhou Normal University Hangzhou Zhejiang Province China
| | - Zi‐liang Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Hui Zheng
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center Shanghai Jiaotong University School of Medicine Shanghai China
| | - Meng‐jing Wang
- Southeast University ‐ Monash University Joint Graduate School Southeast University Nanjing China
| | - Marc N. Potenza
- Department of Psychiatry and the Child Study Center Yale University School of Medicine New Haven Connecticut USA
- Department of Neuroscience Yale University New Haven Connecticut USA
- Connecticut Council on Problem Gambling Wethersfield Connecticut USA
- Connecticut Mental Health Center New Haven Connecticut USA
| | - Guang‐Heng Dong
- Center for Cognition and Brain Disorders The Affiliated Hospital of Hangzhou Normal University Hangzhou Zhejiang Province China
- Institutes of Psychological Sciences Hangzhou Normal University Hangzhou Zhejiang Province China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou Zhejiang Province China
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18
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The brain mechanism of awakening dysfunction in children with primary nocturnal enuresis based on PVT-NAc neural pathway: a resting-state fMRI study. Sci Rep 2021; 11:17079. [PMID: 34429478 PMCID: PMC8385036 DOI: 10.1038/s41598-021-96519-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 08/11/2021] [Indexed: 11/08/2022] Open
Abstract
Primary nocturnal enuresis (PNE) affects children's physical and mental health with a high rate. However, its neural mechanism is still unclear. Studies have found that the paraventricular thalamus (PVT) is among the key brain regions implicated with awakening regulation and its control of the transition between sleep and wakening is dependent on signaling through the PVT-nucleus accumbens (NAc) pathway. So this study analyzed the function of brain regions and their connectivity of PVT and NAc. A total of twenty-six PNE and typically developing (TD) children were involved in the study and the methods of amplitude of low frequency fluctuation (ALFF), degree centrality (DC) and functional connectivity (FC) based on resting-state functional magnetic resonance imaging (rs-fMRI) were used to analyze the brain functions. Results showed that there was no statistical significant difference in ALFF and DC between PNE and TD children in bilateral PVT and NAc. And there was statistical significant difference of the comparison of the FC of left PVT (lPVT) and left NAc (lNAc) between PNE and TD children. Meanwhile, there was negative correlation between awakening score and the FC of rPVT and lNAc, and no obvious correlation between awakening score and the FC of lPVT and lNAc in PNE children. Meanwhile, there was both negative correlation between awakening score and the FC of lPVT, rPTV and lNAc in TD children. Therefore, the FC between rPVT and lNAc was more reliable in assessing the degree of awakening ability in PNE children. This finding could help establish the evaluation index of PNE.
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19
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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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Yang W, Wang S, Shao Z, Yang R, Tang F, Luo J, Yan C, Zhang J, Chen J, Liu J, Yuan K. Novel circuit biomarker of impulsivity and craving in male heroin-dependent individuals. Drug Alcohol Depend 2021; 219:108485. [PMID: 33360853 DOI: 10.1016/j.drugalcdep.2020.108485] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 11/14/2020] [Accepted: 11/17/2020] [Indexed: 01/12/2023]
Abstract
INTRODUCTION The striatum mediates reward processing in addiction, and previous fMRI (functional Magnetic Resonance Imaging) studies have revealed abnormal striatofrontal functional connectivity in heroin addiction. However, little is known about whether there is abnormal structural connectivity of the striatal circuit in heroin addiction. This study investigated the structural connectivity of striatal circuits in abstinent heroin-dependent individuals (HDIs) without methadone treatment. METHODS Forty-three (age: 38.8 ± 7.1) male HDIs and twenty-one (age: 42.4 ± 7.9) matched healthy controls underwent high-resolution T1 and whole-brain diffusion tensor imaging (64 directions) magnetic resonance imaging. Connectivity-based seed classification probabilistic tractography was used to detect the tract strengths of striatal circuits with 10 a priori target masks. Tract strengths were compared between groups and correlated with impulsivity behavior, evaluated using the Barratt Impulsivity Scale (BIS), and craving, measured on visual analogue scale (VAS). RESULTS HDIs showed significantly weaker tract strength of the left striatum-medial orbitofrontal cortex (mOFC) (Bonferroni corrected, p < 0.05/20 = 0.0025) and significantly higher BIS total, attention, motor, and non-planning scores (Bonferroni corrected, p < 0.05/4 = 0.0125) than controls. In HDIs, negative correlations were observed between the left striatum- mOFC tract strengths and the BIS total, attention and non-planning scores (r1=-0.410, p1 = 0.005; r2=-0.432, p2 = 0.003; r3=-0.506, p3<0.001) and between the right striatum-posterior cingulate cortex (PCC) tract strengths and craving scores (r=-0.433, p = 0.009) in HDIs. CONCLUSION HDIs displayed decreased structural connectivity of the striatum-mOFC circuit and higher impulsivity. Higher impulsive behavior was associated with decreased left striatal circuit connectivity. These findings suggest that the striatal circuit tract strengths might be a novel potential biomarker in heroin and, potentially, general opioid addiction.
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Affiliation(s)
- Wenhan Yang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Shicong Wang
- School of Life Science and Technology, Xidian University, Xi'an, 710071, China
| | - Ziqiang Shao
- School of Life Science and Technology, Xidian University, Xi'an, 710071, China
| | - Ru Yang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Fei Tang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Jing Luo
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Cui Yan
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Jun Zhang
- Hunan Judicial Police Academy, Changsha, China
| | - Jiyuan Chen
- Hunan Judicial Police Academy, Changsha, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China.
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, 710071, China; Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, China.
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21
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Relationship of Internet Gaming Disorder with Psychopathology and Social Adaptation in Italian Young Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17218201. [PMID: 33172015 PMCID: PMC7664226 DOI: 10.3390/ijerph17218201] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 11/01/2020] [Accepted: 11/02/2020] [Indexed: 01/24/2023]
Abstract
Internet addiction is currently considered a worldwide problem, with a possible impact on mental health. This study aimed to investigate the prevalence of internet gaming disorder (IGD) among Italian young adults and to explore its association with psychopathological symptoms. Our sample included 566 young adults (324 males/242 females; age: 22.74 ± 4.83 years). Participants were asked to state their favorite games and complete the following questionnaires: the Internet Gaming Disorder Scale Short Form (IGD9-SF); the APA symptom checklist, based on DSM-5 diagnostic criteria for IGD; the Symptom Checklist-90 Revised (SCL-90 R); and the Social Adaptation Self Evaluation Scale (SASS). Use of video games was common among study participants (95% of the sample). Thirty subjects (5.3% of the sample) matched criteria for a clinical diagnosis of IGD. Data showed a positive correlation between higher use of online games and higher levels of depression (r = 0.501), anxiety (r = 0.361) and psychoticism (r = 0.431), and lower family and extra-family relationships (r = −0.383). At linear regression analysis, somatization (p = 0.002), depression (p = 0.001) and sleep disturbances (p = 0.003) were predictors of IGD diagnosis. IGD was significantly associated to mental health distress. Healthcare professionals should be aware of the problematic consequences of online gaming.
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Dong GH, Wang Z, Dong H, Wang M, Zheng Y, Ye S, Zhang J, Potenza MN. More stringent criteria are needed for diagnosing internet gaming disorder: Evidence from regional brain features and whole-brain functional connectivity multivariate pattern analyses. J Behav Addict 2020; 9:642-653. [PMID: 33031057 PMCID: PMC8943664 DOI: 10.1556/2006.2020.00065] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 04/10/2020] [Accepted: 09/02/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Internet gaming disorder (IGD) is included in the DSM-5 as a provisional diagnosis. Whether IGD should be regarded as a disorder and, if so, how it should be defined and thresholded have generated considerable debate. METHODS In the current study, machine learning was used, based on regional and interregional brain features. Resting-state data from 374 subjects (including 148 IGD subjects with DSM-5 scores ≥5 and 93 IGD subjects with DSM-5 scores ≥6) were collected, and multivariate pattern analysis (MVPA) was employed to classify IGD from recreational game use (RGU) subjects based on regional brain features (ReHo) and communication between brain regions (functional connectivity; FC). Permutation tests were used to assess classifier performance. RESULTS The results demonstrated that when using DSM-5 scores ≥5 as the inclusion criteria for IGD subjects, MVPA could not differentiate IGD subjects from RGU, whether based on ReHo or FC features or by using different templates. MVPA could differentiate IGD subjects from RGU better than expected by chance when using DSM-5 scores ≥6 with both ReHo and FC features. The brain regions involved in the default mode network and executive control network and the cerebellum exhibited high discriminative power during classification. DISCUSSION The current findings challenge the current IGD diagnostic criteria thresholding proposed in the DSM-5, suggesting that more stringent criteria may be needed for diagnosing IGD. The findings suggest that brain regions involved in the default mode network and executive control network relate importantly to the core criteria for IGD.
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Affiliation(s)
- Guang-Heng Dong
- Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
- Institute of Psychological Science, Hangzhou Normal University, Hangzhou, PR China
| | - Ziliang Wang
- School of Psychology, Beijing Normal University, Beijing, PR China
| | - Haohao Dong
- Department of Psychology, Zhejiang Normal University, Jinhua, PR China
| | - 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
- Institute of Psychological Science, Hangzhou Normal University, Hangzhou, PR China
| | - Yanbin Zheng
- 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
- Institute of Psychological Science, Hangzhou Normal University, Hangzhou, PR China
| | - Shuer Ye
- 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
- Institute of Psychological Science, Hangzhou Normal University, Hangzhou, PR China
| | - Jialin Zhang
- Department of Psychology, Zhejiang Normal University, Jinhua, PR China
| | - Marc N. Potenza
- Department of Psychiatry, Child Study Center, Yale University School of Medicine, New Haven, CT, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA
- Connecticut Council on Problem Gambling, Wethersfield, CT, USA
- Connecticut Mental Health Center, New Haven, CT, USA
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Wen X, Sun Y, Hu Y, Yu D, Zhou Y, Yuan K. Identification of internet gaming disorder individuals based on ventral tegmental area resting-state functional connectivity. Brain Imaging Behav 2020; 15:1977-1985. [PMID: 33037577 DOI: 10.1007/s11682-020-00391-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/31/2020] [Indexed: 12/24/2022]
Abstract
Objective neuroimaging markers are imminently in need for more accurate clinical diagnosis of Internet gaming disorder (IGD). Recent neuroimaging evidence suggested that IGD is associated with abnormalities in the mesolimbic dopamine (DA) system. As the key nodes of the DA pathways, ventral tegmental area (VTA) and substantia nigra (SN) and their connected brain regions may serve as potential markers to identify IGD. Therefore, we aimed to develop optimal classifiers to identify IGD individuals by using VTA and bilateral SN resting-state functional connectivity (RSFC) patterns. A dataset including 146 adolescents (66 IGDs and 80 healthy controls (HCs)) was used to build classification models and another independent dataset including 28 subjects (14 IGDs and 14 HCs) was employed to validate the generalization ability of the models. Multi-voxel pattern analysis (MVPA) with linear support vector machine (SVM) was used to select the features. Our results demonstrated that the VTA RSFC circuits successfully identified IGD individuals (mean accuracy: 86.1%, mean sensitivity: 84.5%, mean specificity: 86.6%, the mean area under the receiver operating characteristic curve: 0.91). Furthermore, the independent generalization ability of the VTA RSFC classifier model was also satisfied (accuracy = 78.5%, sensitivity = 71.4%, specificity = 85.8%). The VTA connectivity circuits that were selected as distinguishing features were mainly included bilateral thalamus, right hippocampus, right pallidum, right temporal pole superior gyrus and bilateral temporal superior gyrus. These findings demonstrated that the potential of the resting-state neuroimaging features of VTA RSFC as objective biomarkers for the IGD clinical diagnosis in the future.
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Affiliation(s)
- Xinwen Wen
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, Xi'an, China
| | - Yawen Sun
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuzheng Hu
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, People's Republic of China
| | - Dahua Yu
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Yan Zhou
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China. .,Engineering Research Center of Molecular & Neuroimaging, Ministry of Education, Xi'an, China. .,Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China.
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Stockdale L, Coyne SM. Parenting paused: Pathological video game use and parenting outcomes. Addict Behav Rep 2020; 11:100244. [PMID: 32467833 PMCID: PMC7244913 DOI: 10.1016/j.abrep.2019.100244] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 12/17/2018] [Indexed: 11/01/2022] Open
Abstract
For most people, playing video games is a normal recreational activity, with little disruption to gamers' emotional, social, or physical health and well-being. However, for a small percentage of gamers, video gaming can become pathological (Fam, 2018). Substantial research has examined pathological gaming in teens and young adults (Cheng, Cheung, & Wang, 2018; Choo, Gentile, Sim, Khoo, & Liau, 2010), yet pathological gaming in adults (c.f. Holgren, 2017), especially in the context of parenthood, has been relatively ignored. The current study sought to address this limitation by studying associations between pathological gaming characteristics and parenting outcomes in a sample of men and women who have had a child in the last year. Fathers spent more time than mothers playing video games and displayed more pathological video gaming tendencies. Pathological gaming for mothers and fathers was related to increased depressive symptoms. Depressive symptoms mediated the relationship between pathological gaming and decreased feelings of parental efficacy, perceived parental competence, increased parenting stress, and increased perceived impact of parenting. Pathological video game playing was also directly related to decreased feelings of parental efficacy for mothers and fathers. Implications of the results and directions for future research are discussed.
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Wang Y, Qin Y, Li H, Yao D, Sun B, Li Z, Li X, Dai Y, Wen C, Zhang L, Zhang C, Zhu T, Luo C. The Modulation of Reward and Habit Systems by Acupuncture in Adolescents with Internet Addiction. Neural Plast 2020; 2020:7409417. [PMID: 32256558 PMCID: PMC7094193 DOI: 10.1155/2020/7409417] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 02/15/2020] [Accepted: 02/17/2020] [Indexed: 12/31/2022] Open
Abstract
Purpose Acupuncture is an effective therapy for Internet addiction (IA). However, the underlying mechanisms of acupuncture in relieving compulsive Internet use remain unknown. Neuroimaging studies have demonstrated the role of the ventral striatum (VS) in the progress of IA; hence, the aim of this study was to explore the effects of acupuncture on the resting-state functional connectivity (rsFC) and relevant network of VS in IA. Methods Twenty-seven IA individuals and 30 demographically matched healthy control subjects (HCs) were recruited in this study. We acquired the functional magnetic resonance imaging (fMRI) data in IA subjects before and after 40 days of acupuncture treatment. Seed-to-voxel and ROI-to-ROI analyses were applied to detect the rsFC alterations of the VS and related network in IA subjects and to investigate the modulation effect of acupuncture on the rsFC. Results Compared with HCs, IA subjects exhibited enhanced rsFC of the right ventral rostral putamen (VRP) with the left orbitofrontal cortex (OFC), premotor cortex (PMC), cerebellum, and right ventromedial prefrontal cortex (vmPFC). In the network including these five ROIs, IA also showed increased ROI-to-ROI rsFC. Using a paired t-test in IA subjects before and after 40 days of acupuncture, the increased ROI-to-ROI rsFC was decreased (normalized to HC) with acupuncture, including the rsFC of the right VRP with the left OFC, PMC, and cerebellum, and the rsFC of the left cerebellum with the left OFC, PMC, and right vmPFC. Furthermore, the change in rsFC strength between the right VRP and left cerebellum in IA individuals was found positively correlated with the Internet craving alleviation after acupuncture. Conclusions These findings verified the modulation effect of acupuncture on functional connectivity of reward and habit systems related to the VS in IA individuals, which might partly represent the underlying mechanisms of acupuncture on IA.
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Affiliation(s)
- Yang Wang
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yun Qin
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Hui Li
- School of Medicine, Chengdu University, Chengdu, China
| | - Dezhong Yao
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Bo Sun
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhiliang Li
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xin Li
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yu Dai
- School of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Chao Wen
- Department of Rehabilitation, Zigong Fifth People's Hospital, Zigong, China
| | - Lingrui Zhang
- Department of Medicine, Leshan Vocational and Technical College, Leshan, China
| | - Chenchen Zhang
- Department of Rehabilitation, TCM Hospital of Longquanyi District, Chengdu, China
| | - Tianmin Zhu
- School of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Cheng Luo
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
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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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