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Nie Y, Pan T, He J, Li Y. Impaired social reward processing in individuals with Internet gaming disorder and its relationship with early face perception. Addict Behav 2024; 153:108006. [PMID: 38457987 DOI: 10.1016/j.addbeh.2024.108006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/29/2024] [Accepted: 03/01/2024] [Indexed: 03/10/2024]
Abstract
Previous research has found that individuals with Internet gaming disorder (IGD) show different patterns of social function impairments in game-related and real-life social contexts. Impaired social reward processing may be the underlying mechanism according to the Social Motivation Theory. Thus, in this study, event-related potentials were recorded from 24 individuals with IGD and 24 healthy gamers during a social judgement task. We focused on reward positivity (RewP) elicited by game-related and real-life social rewards, and N170 elicited by game avatar faces and real faces. These indicators were used to explore the neurocognitive mechanism of impaired social reward processing in individuals with IGD and its relationship with early face perception. Results showed that (1) the RewP elicited by real-life social reward was considerably reduced in individuals with IGD relative to healthy gamers. (2) The N170 elicited by game avatar faces in individuals with IGD was larger than that elicited by real faces. However, the N170 was not associated with RewP in either group. (3) The score for IGD severity was correlated with the RewP elicited by real-life social reward and the N170 elicited by game avatar face. In conclusion, the present study suggests that the impaired social reward processing in individuals with IGD is mainly manifested in a decreased neural sensitivity to real-life social reward. Meanwhile, the reduced RewP elicited by real-life social reward and the enhanced N170 elicited by game avatar face might serve as potential biomarkers for IGD.
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Affiliation(s)
- Yufeng Nie
- Institute of Psychology and Behavior, Henan University, Jinming Avenue, Kaifeng, Henan Province, China; Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, School of Psychology, Central China Normal University, Wuhan, China
| | - Ting Pan
- Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, School of Psychology, Central China Normal University, Wuhan, China
| | - Jinbo He
- Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, School of Psychology, Central China Normal University, Wuhan, China.
| | - Yongxin Li
- Institute of Psychology and Behavior, Henan University, Jinming Avenue, Kaifeng, Henan Province, China.
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He Y, Huang X, Zhang E. Social power modulates individuals' neural responses to monetary and social rewards. Brain Cogn 2024; 177:106167. [PMID: 38704903 DOI: 10.1016/j.bandc.2024.106167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 04/02/2024] [Accepted: 04/30/2024] [Indexed: 05/07/2024]
Abstract
Although previous research has shown that social power modulates individuals' sensitivity to rewards, it is currently unclear whether social power increases or decreases individuals' sensitivity to rewards. This study employed event-related potentials (ERPs) to investigate the effects of social power on individuals' neural responses to monetary and social rewards. Specifically, participants underwent an episodic priming task to manipulate social power (high-power vs. low-power) and then completed monetary and social delayed incentive tasks while their behavioral responses and electroencephalograms (EEG) were recorded. According to ERP analysis, during the anticipatory stage, low-power individuals exhibited a greater cue-P3 amplitude than high-power individuals in both monetary and social tasks. In the consummatory stage, though no impact of social power on the reward positivity (RewP) was found, low-power individuals showed a higher feedback-P3 (FB-P3) amplitude than high-power individuals, regardless of task types (the MID and SID tasks). In conclusion, these results provide evidence that social power might decrease one's sensitivity to monetary and social rewards in both the anticipatory and consummatory stages.
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Affiliation(s)
- Yuying He
- Institute of Cognition, Brain & Health, Henan University, Kaifeng, China; Institute of Psychology and Behavior, Henan University, Kaifeng, China
| | - Xiaoyang Huang
- Institute of Cognition, Brain & Health, Henan University, Kaifeng, China; Institute of Psychology and Behavior, Henan University, Kaifeng, China
| | - Entao Zhang
- Institute of Cognition, Brain & Health, Henan University, Kaifeng, China; Institute of Psychology and Behavior, Henan University, Kaifeng, China.
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Webber HE, de Dios C, Kessler DA, Schmitz JM, Lane SD, Suchting R. A meta-analysis of electrophysiological biomarkers of reward and error monitoring in substance misuse. Psychophysiology 2024; 61:e14515. [PMID: 38238282 DOI: 10.1111/psyp.14515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 10/20/2023] [Accepted: 12/18/2023] [Indexed: 04/17/2024]
Abstract
Substance use disorders are characterized by marked changes in reward and error processing. The primary objective of this meta-analysis was to estimate effect sizes for the reward positivity (RewP) and error-related negativity (ERN), two event-related potential indicators of outcome monitoring, in substance users compared to controls. The secondary objective was to test for moderation by demographic, substance type, and EEG experiment parameters. Final PubMed searches were performed in August 2023. Inclusion criteria were substance use disorder/dependence or validated self-report of substance misuse, RewP/ERN means available, healthy control comparison group, non-acute drug study, peer-reviewed journal, English language, and human participants. Selection bias was tested through modified Egger's regression and exploratory 3-parameter selection model tests. The RewP results (19 studies, 1641 participants) did not support an overall effect (Hedges' g = 0.07, 95% CI [-0.44, 0.58], p = .777) and nor effect of any moderators. The ERN results (20 studies, 1022 participants) indicated no significant overall effect (g = 0.41, 95%CI [-0.05, 0.88]). Subgroup analyses indicated that cocaine users had a blunted ERN compared to controls (g = 1.12, 95%CI [0.77, 1.47]). There was limited evidence for publication/small study bias. Although the results indicate a potential dissociation between substance types, this meta-analysis revealed the need for additional research on the RewP/ERN in substance using populations and for better designed experiments that adequately address research questions.
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Affiliation(s)
- Heather E Webber
- Faillace Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Constanza de Dios
- Faillace Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Danielle A Kessler
- College of Medicine at Tower Health, Drexel University, Wyomissing, Pennsylvania, USA
| | - Joy M Schmitz
- Faillace Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Scott D Lane
- Faillace Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Robert Suchting
- Faillace Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, Texas, USA
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Peters A, Helming H, Bruchmann M, Wiegandt A, Straube T, Schindler S. How and when social evaluative feedback is processed in the brain: A systematic review on ERP studies. Cortex 2024; 173:187-207. [PMID: 38422855 DOI: 10.1016/j.cortex.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 03/02/2024]
Abstract
Social evaluative feedback informs the receiver of the other's views, which may contain judgments of personality-related traits and/or the level of likability. Such kinds of social evaluative feedback are of particular importance to humans. Event-related potentials (ERPs) can directly measure where in the processing stream feedback valence, expectancy, or contextual relevance modulate information processing. This review provides an overview and systematization of studies and early, mid-latency, and late ERP effects. Early effects were inconsistently reported for all factors. Feedback valence effects are more consistently reported for specific mid-latency ERPs (Reward Positivity, RewP, and Early Posterior Negativity, EPN) and late positivities (P3 and Late Positive Potential, LPP). Unexpected feedback consistently increased the Feedback Related Negativity (FRN) and, less consistently, decreased P3 amplitudes. Contextual relevance of the sender (e.g., human vs computer sender) or self-relatedness increased mid-latency to late ERPs. Interactions between valence and other factors were less often found, arising during mid-latency stages, where most consistent interactions showed larger EPN and P3 amplitude differences for valent feedback in a more relevant context. The ERP findings highlight that social evaluative feedback is consistently differentiated during mid-latency processing stages. The review discusses the relevance of findings, possible shortcomings of different experimental designs, and open questions. Furthermore, we suggest concrete venues for future research.
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Affiliation(s)
- Antje Peters
- Institute for Medical Psychology and Systems Neuroscience, University of Münster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany
| | - Hanne Helming
- Institute for Medical Psychology and Systems Neuroscience, University of Münster, Germany
| | - Maximilian Bruchmann
- Institute for Medical Psychology and Systems Neuroscience, University of Münster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany
| | - Anja Wiegandt
- Institute for Medical Psychology and Systems Neuroscience, University of Münster, Germany
| | - Thomas Straube
- Institute for Medical Psychology and Systems Neuroscience, University of Münster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany
| | - Sebastian Schindler
- Institute for Medical Psychology and Systems Neuroscience, University of Münster, Germany; Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany.
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Cao S, Liu X, Wu H. The neural mechanisms underlying effort process modulated by efficacy. Neuropsychologia 2022; 173:108314. [DOI: 10.1016/j.neuropsychologia.2022.108314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 06/29/2022] [Accepted: 06/30/2022] [Indexed: 11/26/2022]
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Yang L, Zhang Y, Zhang J, Li N, Chen Z. Altered neural processing of social reward in male heroin abstainers. Int J Psychophysiol 2022; 176:142-148. [DOI: 10.1016/j.ijpsycho.2022.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 04/04/2022] [Accepted: 04/06/2022] [Indexed: 11/30/2022]
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Zhang D, Shen J, Li S, Gao K, Gu R. I, robot: depression plays different roles in human-human and human-robot interactions. Transl Psychiatry 2021; 11:438. [PMID: 34420040 PMCID: PMC8380250 DOI: 10.1038/s41398-021-01567-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 08/04/2021] [Accepted: 08/13/2021] [Indexed: 02/07/2023] Open
Abstract
Socially engaging robots have been increasingly applied to alleviate depressive symptoms and to improve the quality of social life among different populations. Seeing that depression negatively influences social reward processing in everyday interaction, we investigate this influence during simulated interactions with humans or robots. In this study, 35 participants with mild depression and 35 controls (all from nonclinical populations) finished the social incentive delay task with event-related potential recording, in which they received performance feedback from other persons or from a robot. Compared to the controls, the mild depressive symptom (MDS) group represented abnormalities of social reward processing in the human feedback condition: first, the MDS group showed a lower hit rate and a smaller contingent-negative variation (correlated with each other) during reward anticipation; second, depression level modulated both the early phase (indexed by the feedback-related negativity (FRN)) and the late phase (indexed by the P3) of reward consumption. In contrast, the effect of depression was evident only on FRN amplitude in the robot feedback condition. We suggest that compared to human-human interaction, the rewarding properties of human-robot interaction are less likely to be affected by depression. These findings have implications for the utilization of robot-assisted intervention in clinical practice.
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Affiliation(s)
- Dandan Zhang
- School of Psychology, Shenzhen University, 518060, Shenzhen, China.
- Magnetic Resonance Imaging Center, Shenzhen University, 518060, Shenzhen, China.
| | - Junshi Shen
- School of Psychology, Shenzhen University, 518060, Shenzhen, China
| | - Sijin Li
- School of Psychology, Shenzhen University, 518060, Shenzhen, China
| | - Kexiang Gao
- School of Psychology, Shenzhen University, 518060, Shenzhen, China
| | - Ruolei Gu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, 100101, Beijing, China.
- Department of Psychology, University of Chinese Academy of Sciences, 100049, Beijing, China.
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