Blunted reward prediction error signals in internet gaming disorder.
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...
| Publicado en: | Psychological Medicine Vol. 52; no. 11; pp. 2124 - 2134 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | diagnostic images pictorial research tables/charts Journal Article |
| Publicado: |
Cambridge University Press
Aug2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158569894&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158569894 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00332917 6Q3 jtl: Psychological Medicine issn: 00332917 maglogo: N pubinfo: dt: Aug2022 vid: 52 iid: 11 pid: 15979 pub: Cambridge University Press artinfo: ui: 158569894 158569894 158569894 10.1017/S003329172000402X 158569894 ppf: 2124 ppct: 10 formats: tig: atl: Blunted reward prediction error signals in internet gaming disorder. aug: au: Lei, Wei Liu, Kezhi Chen, Guangxiang Tolomeo, Serenella Liu, Cuizhen Peng, Zhenlei Liu, Boya Liang, Xuemei Huang, Chaohua Xiang, Bo Zhou, Jia Zhao, Fulin Yu, Rongjun Chen, Jing affil: Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China sug: subj: Reward Brain Physiopathology Task Performance and Analysis Internet Addiction Diagnosis Reinforcement (Psychology) Learning Disorders Human Psychophysiology Evaluation T-Tests Male Adult Funding Source Case Control Studies Prefrontal Cortex Linear Regression Adult: 19-44 years Male ab: 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. pubtype: Academic Journal doctype: diagnostic images pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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