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Altered Reward Processing System in Internet Gaming Disorder
Converging evidence indicates that addiction involves impairment in reward processing systems. However, the patterns of dysfunction in different stages of reward processing in internet gaming addiction remain unclear. In previous studies, individuals with internet gaming disorder were found to be im...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746551/ https://www.ncbi.nlm.nih.gov/pubmed/33343426 http://dx.doi.org/10.3389/fpsyt.2020.599141 |
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author | Raiha, Syeda Yang, Guochun Wang, Lingxiao Dai, Weine Wu, Haiyan Meng, Guangteng Zhong, Bowei Liu, Xun |
author_facet | Raiha, Syeda Yang, Guochun Wang, Lingxiao Dai, Weine Wu, Haiyan Meng, Guangteng Zhong, Bowei Liu, Xun |
author_sort | Raiha, Syeda |
collection | PubMed |
description | Converging evidence indicates that addiction involves impairment in reward processing systems. However, the patterns of dysfunction in different stages of reward processing in internet gaming addiction remain unclear. In previous studies, individuals with internet gaming disorder were found to be impulsive and risk taking, but there is no general consensus on the relation between impulsivity and risk-taking tendencies in these individuals. The current study explored behavioral and electrophysiological responses associated with different stages of reward processing among individuals with internet gaming disorders (IGDs) with a delayed discounting task and simple gambling tasks. Compared to the healthy control (HC) group, the IGD group discounted delays more steeply and made more risky choices, irrespective of the outcome. As for the event-related potential (ERP) results, during the reward anticipation stage, IGDs had the same stimulus-preceding negativity (SPN) for both large and small choices, whereas HCs exhibited a higher SPN in large vs. small choices. During the outcome evaluation stage, IGDs exhibited a blunted feedback-related negativity for losses vs. gains. The results indicate impairment across different stages of reward processing among IGDs. Moreover, we found negative correlation between impulsivity indexed by BIS-11 and reward sensitivity indexed by SPN amplitude during anticipation stage only, indicating different neural mechanisms at different stages of reward processing. The current study helps to elucidate the behavioral and neural mechanisms of reward processing in internet gaming addiction. |
format | Online Article Text |
id | pubmed-7746551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77465512020-12-19 Altered Reward Processing System in Internet Gaming Disorder Raiha, Syeda Yang, Guochun Wang, Lingxiao Dai, Weine Wu, Haiyan Meng, Guangteng Zhong, Bowei Liu, Xun Front Psychiatry Psychiatry Converging evidence indicates that addiction involves impairment in reward processing systems. However, the patterns of dysfunction in different stages of reward processing in internet gaming addiction remain unclear. In previous studies, individuals with internet gaming disorder were found to be impulsive and risk taking, but there is no general consensus on the relation between impulsivity and risk-taking tendencies in these individuals. The current study explored behavioral and electrophysiological responses associated with different stages of reward processing among individuals with internet gaming disorders (IGDs) with a delayed discounting task and simple gambling tasks. Compared to the healthy control (HC) group, the IGD group discounted delays more steeply and made more risky choices, irrespective of the outcome. As for the event-related potential (ERP) results, during the reward anticipation stage, IGDs had the same stimulus-preceding negativity (SPN) for both large and small choices, whereas HCs exhibited a higher SPN in large vs. small choices. During the outcome evaluation stage, IGDs exhibited a blunted feedback-related negativity for losses vs. gains. The results indicate impairment across different stages of reward processing among IGDs. Moreover, we found negative correlation between impulsivity indexed by BIS-11 and reward sensitivity indexed by SPN amplitude during anticipation stage only, indicating different neural mechanisms at different stages of reward processing. The current study helps to elucidate the behavioral and neural mechanisms of reward processing in internet gaming addiction. Frontiers Media S.A. 2020-12-04 /pmc/articles/PMC7746551/ /pubmed/33343426 http://dx.doi.org/10.3389/fpsyt.2020.599141 Text en Copyright © 2020 Raiha, Yang, Wang, Dai, Wu, Meng, Zhong and Liu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Raiha, Syeda Yang, Guochun Wang, Lingxiao Dai, Weine Wu, Haiyan Meng, Guangteng Zhong, Bowei Liu, Xun Altered Reward Processing System in Internet Gaming Disorder |
title | Altered Reward Processing System in Internet Gaming Disorder |
title_full | Altered Reward Processing System in Internet Gaming Disorder |
title_fullStr | Altered Reward Processing System in Internet Gaming Disorder |
title_full_unstemmed | Altered Reward Processing System in Internet Gaming Disorder |
title_short | Altered Reward Processing System in Internet Gaming Disorder |
title_sort | altered reward processing system in internet gaming disorder |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746551/ https://www.ncbi.nlm.nih.gov/pubmed/33343426 http://dx.doi.org/10.3389/fpsyt.2020.599141 |
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