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Blunted reward prediction error signals in internet gaming disorder

Published online by Cambridge University Press:  04 November 2020

Wei Lei ,
Kezhi Liu ,
Guangxiang Chen ,
Serenella Tolomeo ,
Cuizhen Liu ,
Zhenlei Peng ,
Boya Liu ,
Xuemei Liang ,
Chaohua Huang  and
Bo Xiang
...Show all authors
Wei Lei
Affiliation:
Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
Kezhi Liu
Affiliation:
Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China
Guangxiang Chen
Affiliation:
Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China Radiology Department, The Affiliated Hospital of Southwest Medical University, Luzhou, China
Serenella Tolomeo
Affiliation:
Department of Psychology, National University of Singapore, Singapore, Singapore
Cuizhen Liu
Affiliation:
Department of Psychology, National University of Singapore, Singapore, Singapore
Zhenlei Peng
Affiliation:
Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
Boya Liu
Affiliation:
Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
Xuemei Liang
Affiliation:
Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
Chaohua Huang
Affiliation:
Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
Bo Xiang
Affiliation:
Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
Jia Zhou
Affiliation:
School of Humanities and Management Science, Southwest Medical University, Luzhou, China
Fulin Zhao
Affiliation:
Department of Medical Imaging, Southwest Medical University, Luzhou, China
Rongjun Yu*
Affiliation:
Department of Psychology, National University of Singapore, Singapore, Singapore
Jing Chen*
Affiliation:
Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
*
Author for correspondence: Rongjun Yu, E-mail: [email protected]; Jing Chen, E-mail: [email protected]
Author for correspondence: Rongjun Yu, E-mail: [email protected]; Jing Chen, E-mail: [email protected]
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Abstract

Background

Internet gaming disorder (IGD) is a type of behavioural addictions. One of the key features of addiction is the excessive exposure to addictive objectives (e.g. drugs) reduces the sensitivity of the brain reward system to daily rewards (e.g. money). This is thought to be mediated via the signals expressed as dopaminergic reward prediction error (RPE). Emerging evidence highlights blunted RPE signals in drug addictions. However, no study has examined whether IGD also involves alterations in RPE signals that are observed in other types of addictions.

Methods

To fill this gap, we used functional magnetic resonance imaging data from 45 IGD and 42 healthy controls (HCs) during a reward-related prediction-error task and utilised a psychophysiological interaction (PPI) analysis to characterise the underlying neural correlates of RPE and related functional connectivity.

Results

Relative to HCs, IGD individuals showed impaired reinforcement learning, blunted RPE signals in multiple regions of the brain reward system, including the right caudate, left orbitofrontal cortex (OFC), and right dorsolateral prefrontal cortex (DLPFC). Moreover, the PPI analysis revealed a pattern of hyperconnectivity between the right caudate, right putamen, bilateral DLPFC, and right dorsal anterior cingulate cortex (dACC) in the IGD group. Finally, linear regression suggested that the connection between the right DLPFC and right dACC could significantly predict the variation of RPE signals in the left OFC.

Conclusions

These results highlight disrupted RPE signalling and hyperconnectivity between regions of the brain reward system in IGD. Reinforcement learning deficits may be crucial underlying characteristics of IGD pathophysiology.

Keywords

Addictionbrain reward systemfMRIinternet gaming disorderreinforcement learningreward prediction error
Type
Original Article
Information
Psychological Medicine , Volume 52 , Issue 11 , August 2022 , pp. 2124 - 2133
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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Footnotes

*

Wei Lei, Kezhi Liu, Guangxiang Chen, and Serenella Tolomeo contributed equally to this study.

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