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Altered core networks of brain connectivity and personality traits in internet gaming disorder

人格 临床心理学 互联网 脑岛 五大性格特征 意识的神经相关物 功能磁共振成像
作者
Ji Won Chun,Chang-hyun Park,Jin-Young Kim,Jihye Choi,Hyun Hee Cho,Dong Jin Jung,Kook-Jin Ahn,Jung Seok Choi,Dai Jin Kim,In Young Choi
出处
期刊:Journal of behavioral addictions [Akademiai Kiado Zrt.]
卷期号:9 (2): 298-311 被引量:6
标识
DOI:10.1556/2006.2020.00014
摘要

Background and aims Although the Internet has provided convenience and efficiency in many areas of everyday life, problems stemming from Internet use have also been identified, such as Internet gaming disorder (IGD). Internet addiction, which includes IGD, can be viewed as a behavioral addiction or impulse control disorder. This study investigated the altered functional and effective connectivity of the core brain networks in individuals with IGD compared to healthy controls (HCs). Methods Forty-five adults with IGD and 45 HCs were included in this study. To examine the brain networks related to personality traits that influence problematic online gaming, the left and right central executive network (CEN) and the salience network (SN) were included in the analysis. Also, to examine changes in major brain network topographies, we analyzed the default mode network (DMN). Results IGD participants showed lower functional connectivity between the dorsal lateral prefrontal cortex (DLPFC) and other regions in the CEN than HC participants during resting state. Also, IGD participants revealed reduced functional connectivity between the dorsal anterior cingulate cortex and other regions in the SN and lower functional connectivity in the medial prefrontal cortex of the anterior DMN. Notably, in IGD individuals but not HC individuals, there was a positive correlation between IGD severity and effective connectivity and a positive correlation between reward sensitivity and effective connectivity within the ventral striatum of the SN. Conclusions Problematic online gaming was associated with neurofunctional alterations, impairing the capacity of core brain networks.
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