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      Brain responses to positive and negative events in individuals with internet gaming disorder during real gaming

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          Abstract

          Objective

          This study sought to investigate brain responses to positive and negative events in individuals with internet gaming disorder (IGD) during real gaming as a direct assessment of the neural features of IGD. This investigation reflects the neural deficits in individuals with IGD while playing games, providing direct and effective targets for prevention and treatment of IGD.

          Methods

          Thirty subjects with IGD and fifty-two matched recreational game use (RGU) subjects were scanned while playing an online game. Abnormal brain activities during positive and negative events were detected using a general linear model. Functional connectivity (FC) and correlation analyses between neural features and addiction severity were conducted to provide additional support for the underlying neural features.

          Results

          Compared to the RGU subjects, the IGD subjects exhibited decreased activation in the dorsolateral prefrontal cortex (DLPFC) during positive events and decreased activation in the middle frontal gyrus (MFG), precentral gyrus and postcentral gyrus during negative events. Decreased FC between the DLPFC and putamen during positive events and between the MFG and amygdala during negative events were observed among the IGD subjects. Neural features and addiction severity were significantly correlated.

          Conclusions

          Individuals with IGD exhibited deficits in regulating game craving, maladaptive habitual gaming behaviors and negative emotions when experiencing positive and negative events during real game-playing compared to RGU gamers. These abnormalities in neural substrates during real gaming provide direct evidence for explaining why individuals with IGD uncontrollably and continuously engage in game playing, despite negative consequences.

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          Most cited references104

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          Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks.

          Resting state functional connectivity reveals intrinsic, spontaneous networks that elucidate the functional architecture of the human brain. However, valid statistical analysis used to identify such networks must address sources of noise in order to avoid possible confounds such as spurious correlations based on non-neuronal sources. We have developed a functional connectivity toolbox Conn ( www.nitrc.org/projects/conn ) that implements the component-based noise correction method (CompCor) strategy for physiological and other noise source reduction, additional removal of movement, and temporal covariates, temporal filtering and windowing of the residual blood oxygen level-dependent (BOLD) contrast signal, first-level estimation of multiple standard functional connectivity magnetic resonance imaging (fcMRI) measures, and second-level random-effect analysis for resting state as well as task-related data. Compared to methods that rely on global signal regression, the CompCor noise reduction method allows for interpretation of anticorrelations as there is no regression of the global signal. The toolbox implements fcMRI measures, such as estimation of seed-to-voxel and region of interest (ROI)-to-ROI functional correlations, as well as semipartial correlation and bivariate/multivariate regression analysis for multiple ROI sources, graph theoretical analysis, and novel voxel-to-voxel analysis of functional connectivity. We describe the methods implemented in the Conn toolbox for the analysis of fcMRI data, together with examples of use and interscan reliability estimates of all the implemented fcMRI measures. The results indicate that the CompCor method increases the sensitivity and selectivity of fcMRI analysis, and show a high degree of interscan reliability for many fcMRI measures.
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            Neurobiology of addiction: a neurocircuitry analysis.

            Drug addiction represents a dramatic dysregulation of motivational circuits that is caused by a combination of exaggerated incentive salience and habit formation, reward deficits and stress surfeits, and compromised executive function in three stages. The rewarding effects of drugs of abuse, development of incentive salience, and development of drug-seeking habits in the binge/intoxication stage involve changes in dopamine and opioid peptides in the basal ganglia. The increases in negative emotional states and dysphoric and stress-like responses in the withdrawal/negative affect stage involve decreases in the function of the dopamine component of the reward system and recruitment of brain stress neurotransmitters, such as corticotropin-releasing factor and dynorphin, in the neurocircuitry of the extended amygdala. The craving and deficits in executive function in the so-called preoccupation/anticipation stage involve the dysregulation of key afferent projections from the prefrontal cortex and insula, including glutamate, to the basal ganglia and extended amygdala. Molecular genetic studies have identified transduction and transcription factors that act in neurocircuitry associated with the development and maintenance of addiction that might mediate initial vulnerability, maintenance, and relapse associated with addiction.
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              Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model.

              Within the last two decades, many studies have addressed the clinical phenomenon of Internet-use disorders, with a particular focus on Internet-gaming disorder. Based on previous theoretical considerations and empirical findings, we suggest an Interaction of Person-Affect-Cognition-Execution (I-PACE) model of specific Internet-use disorders. The I-PACE model is a theoretical framework for the processes underlying the development and maintenance of an addictive use of certain Internet applications or sites promoting gaming, gambling, pornography viewing, shopping, or communication. The model is composed as a process model. Specific Internet-use disorders are considered to be the consequence of interactions between predisposing factors, such as neurobiological and psychological constitutions, moderators, such as coping styles and Internet-related cognitive biases, and mediators, such as affective and cognitive responses to situational triggers in combination with reduced executive functioning. Conditioning processes may strengthen these associations within an addiction process. Although the hypotheses regarding the mechanisms underlying the development and maintenance of specific Internet-use disorders, summarized in the I-PACE model, must be further tested empirically, implications for treatment interventions are suggested.
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                Author and article information

                Contributors
                Journal
                2006
                Journal of Behavioral Addictions
                JBA
                Akadémiai Kiadó (Budapest )
                2062-5871
                2063-5303
                30 August 2023
                05 October 2023
                : 12
                : 3
                : 758-774
                Affiliations
                [1 ] Centre for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University , Hangzhou, Zhejiang Province, China
                [2 ] Institute of Psychological Science, Hangzhou Normal University , Hangzhou, Zhejiang Province, China
                [3 ] Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments , Hangzhou, Zhejiang Province, China
                [4 ] School of Psychology, Shanghai University of Sport , Shanghai, China
                [5 ] Department of Psychology, School of Education, Zhengzhou University , Zhengzhou, China
                [6 ] Department of Psychology, Yunnan Normal University , Kunming, Yunnan Province, China
                Author notes
                [* ]Corresponding author. E-mail: wanglingxiao@ 123456hznu.edu.cn
                Author information
                https://orcid.org/0000-0001-7047-5528
                https://orcid.org/0009-0009-9377-9829
                https://orcid.org/0000-0001-8470-7852
                https://orcid.org/0000-0001-9954-6588
                https://orcid.org/0000-0002-1164-4309
                https://orcid.org/0000-0001-8813-8730
                Article
                10.1556/2006.2023.00039
                10562809
                37651282
                808e9fe2-eead-4229-b496-4e6ad783e917
                © 2023 The Author(s)

                Open Access statement. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited, a link to the CC License is provided, and changes – if any – are indicated.

                History
                : 01 September 2022
                : 14 June 2023
                : 13 July 2023
                Page count
                Figures: 6, Tables: 4, Equations: 2, References: 103, Pages: 17
                Funding
                Funded by: Zhejiang Provincial Natural Science Foundation of China
                Award ID: LQ22C090005
                Funded by: Scientific Research Foundation for Scholars of Hangzhou Normal University
                Award ID: 2020QDL021
                Funded by: Research and Innovation Advancement Project for Postgraduate Students at Hangzhou Normal University
                Award ID: 2022HSDYJSKY289
                Funded by: Key Medical Disciplines of Hangzhou

                Medicine,Psychology,Social & Behavioral Sciences,Clinical Psychology & Psychiatry
                recreational game use,internet gaming disorder,real gaming,regulation of craving,regulation of negative emotions,fMRI

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