Evidence map›Paper›PMID 33570505›Full record

ArticleJournal of behavioral addictions2021

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

Lingxiao Wang, Guochun Yang, Ya Zheng, Zhenghan Li, Yue Qi, Qi Li, Xun Liu

Open access · goldAbstract read
In one paragraph

Article in Journal of behavioral addictions, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 5 pooled it
11.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 5 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Lingxiao Wang1Department of Psychology, Beijing Key Laboratory of Learning and Cognition, Capital Normal University, Beijing, China.
Guochun Yang5CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Ya Zheng7Department of Psychology, Dalian Medical University, Dalian, China.
Zhenghan Li5CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Yue Qi8The Department of Psychology, Renmin University of China, Beijing, China.
Qi Li1Department of Psychology, Beijing Key Laboratory of Learning and Cognition, Capital Normal University, Beijing, China.ORCID 0000-0002-2678-9594
Xun Liu5CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Institute of Psychology, Chinese Academy of Sciences · CNDalian Medical University · CNHangzhou Normal University · CNRenmin University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsInternet gaming disorder (IGD) has become a global health problem. The self-regulation model noted that a shift to reward system, whether due to overwhelming reward-seeking or impaired control, can lead to self-regulation failures, e.g., addiction. The present study focused on the reward processing of IGD, aiming to provide insights into the etiology of IGD. Reward processing includes three phases: reward anticipation, outcome monitoring and choice evaluation. However, it is not clear which phases of reward processing are different between individuals with IGD and healthy controls (HC).

methodsTo address this issue, the present study asked 27 individuals with IGD and 26 HC to complete a roulette task during a functional MRI scan.

resultsCompared with HC, individuals with IGD preferred to take risks in pursuit of high rewards behaviorally and showed exaggerated brain activity in the striatum (nucleus accumbens and caudate) during the reward anticipation and outcome monitoring but not during the choice evaluation. DISCUSSION: These results reveal that the oversensitivity of the reward system to potential and positive rewards in college students with IGD drives them to approach risky options more frequently although they are able to assess the risk values of options and the correctness of decisions properly as HC do.

conclusionsThese findings provide partial support for the application of the self-regulation model to the IGD population. Moreover, this study enriches this model from the perspective of three phases of reward processing and provides specific targets for future research regarding effective treatment of IGD.

Indexed as

Anticipation, PsychologicalChoice BehaviorRewardAdultBrain MappingChinaCorpus StriatumHumansInternet Addiction DisorderMagnetic Resonance ImagingRisk-TakingSelf-ControlStudentsYoung AdultfMRIInternet gaming disorderreward processing

Identifiers

PMID33570505
PMCPMC8969865
OpenAlexW3128963535

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.