Literature DB >> 26238384

Neural substrates of risky decision making in individuals with Internet addiction.

Ji-Woo Seok1, Kyung Hwa Lee2, Sunju Sohn3, Jin-Hun Sohn4.   

Abstract

OBJECTIVE: With the wide and rapid expansion of computers and smartphones, Internet use has become an essential part of life and an important tool that serves various purposes. Despite the advantages of Internet use, psychological and behavioral problems, including Internet addiction, have been reported. In response to growing concern, researchers have focused on the characteristics of Internet addicts. However, relatively little is known about the behavioral and neural mechanisms that underlie Internet addiction, especially with respect to risky decision making, which is an important domain frequently reported in other types of addictions.
METHOD: To examine the neural characteristics of decision making in Internet addicts, Internet addicts and healthy controls were scanned while they performed a financial decision-making task.
RESULTS: Relative to healthy controls, Internet addicts showed (1) more frequent risky decision making; (2) greater activation in the dorsal anterior cingulate cortex and the left caudate nucleus, which are brain regions involved in conflict monitoring and reward, respectively; and (3) less activation in the ventrolateral prefrontal cortex, an area associated with cognitive control/regulation.
CONCLUSION: These findings suggest that risky decision making may be an important behavioral characteristic of Internet addiction and that altered brain function in regions associated with conflict monitoring, reward and cognitive control/regulation might be critical biological risk factors for Internet addiction. © The Royal Australian and New Zealand College of Psychiatrists 2015.

Keywords:  Internet addiction; cognitive control; conflict monitoring; reward; risky decision making

Mesh:

Year:  2015        PMID: 26238384     DOI: 10.1177/0004867415598009

Source DB:  PubMed          Journal:  Aust N Z J Psychiatry        ISSN: 0004-8674            Impact factor:   5.744


  7 in total

Review 1.  A Systematic Review on Common and Distinct Neural Correlates of Risk-taking in Substance-related and Non-substance Related Addictions.

Authors:  Philippa Hüpen; Ute Habel; Mikhail Votinov; Joseph W Kable; Lisa Wagels
Journal:  Neuropsychol Rev       Date:  2022-07-30       Impact factor: 6.940

2.  Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Localization.

Authors:  Qinglin Zhao; Hongqian Li; Bin Hu; Haiyan Wu; Quanying Liu
Journal:  Front Neurosci       Date:  2017-12-06       Impact factor: 4.677

3.  Altered Reward Processing System in Internet Gaming Disorder.

Authors:  Syeda Raiha; Guochun Yang; Lingxiao Wang; Weine Dai; Haiyan Wu; Guangteng Meng; Bowei Zhong; Xun Liu
Journal:  Front Psychiatry       Date:  2020-12-04       Impact factor: 4.157

4.  Altered Gray Matter Volume and Resting-State Connectivity in Individuals With Internet Gaming Disorder: A Voxel-Based Morphometry and Resting-State Functional Magnetic Resonance Imaging Study.

Authors:  Ji-Woo Seok; Jin-Hun Sohn
Journal:  Front Psychiatry       Date:  2018-03-27       Impact factor: 4.157

5.  Brain Structures Associated with Internet Addiction Tendency in Adolescent Online Game Players.

Authors:  Nannan Pan; Yongxin Yang; Xin Du; Xin Qi; Guijin Du; Yang Zhang; Xiaodong Li; Quan Zhang
Journal:  Front Psychiatry       Date:  2018-03-06       Impact factor: 4.157

6.  Is monetary reward processing altered in drug-naïve youth with a behavioral addiction? Findings from internet gaming disorder.

Authors:  Yuan-Wei Yao; Lu Liu; Patrick D Worhunsky; Sarah Lichenstein; Shan-Shan Ma; Lei Zhu; Xin-Hui Shi; Songshan Yang; Jin-Tao Zhang; Sarah W Yip
Journal:  Neuroimage Clin       Date:  2020-02-04       Impact factor: 4.881

7.  Enhanced neural responses in specific phases of reward processing in individuals with Internet gaming disorder.

Authors:  Lingxiao Wang; Guochun Yang; Ya Zheng; Zhenghan Li; Yue Qi; Qi Li; Xun Liu
Journal:  J Behav Addict       Date:  2021-02-10       Impact factor: 6.756

  7 in total

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