Evidence map›Paper›PMID 37583792›Full record

ArticleGeneral psychiatry2023

Impulsivity-related right superior frontal gyrus as a biomarker of internet gaming disorder.

Pengyu Zhang, Yu Pan, Rujing Zha, Hongwen Song, Cunfeng Yuan, Qian Zhao, Yi Piao, Jiecheng Ren, Yijun Chen, Peipeng Liang and 3 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in General psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 7 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

13 authors at 4 institutions in 1 country.

Pengyu ZhangHefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
Yu PanKey Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai, China.
Rujing ZhaDepartment of Psychology, School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, Anhui, China.
Hongwen SongHefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
Cunfeng YuanDrug Rehabilitation Administration, Ministry of Justice of the People's Republic of China, Beijing, China.
Qian ZhaoHefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
Yi PiaoApplication Technology Center of Physical Therapy to Brain Disorders, Institute of Advanced Technology, University of Science and Technology of China, Hefei, Anhui, China.
Jiecheng RenHefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
Yijun ChenHefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
Peipeng LiangSchool of Psychology, Beijing Key Laboratory of Learning and Cognition, Capital Normal University, Beijing, China.
Ran TaoDepartment of Psychological Medicine, Chinese People's Liberation Army General Hospital, Beijing, China.
Zhengde WeiDepartment of Psychology, School of Humanities and Social Sciences, University of Science and Technology of China, Hefei, Anhui, China.
Xiaochu ZhangHefei National Laboratory for Physical Sciences at the Microscale and School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.ORCID 0000-0002-7541-0130
University of Science and Technology of China · CNCapital Normal University · CNPeople's Liberation Army No. 150 Hospital · CNShanghai International Studies University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Internet gaming disorder (IGD) is a mental health issue that affects individuals worldwide. However, the lack of knowledge about the biomarkers associated with the development of IGD has restricted the diagnosis and treatment of this disorder. Aims: We aimed to reveal the biomarkers associated with the development of IGD through resting-state brain network analysis and provide clues for the diagnosis and treatment of IGD. Methods: Twenty-six patients with IGD, 23 excessive internet game users (EIUs) who recurrently played internet games but were not diagnosed with IGD and 29 healthy controls (HCs) performed delay discounting task (DDT) and Iowa gambling task (IGT). Resting-state functional magnetic resonance imaging (fMRI) data were also collected. Results: Patients with IGD exhibited significantly lower hubness in the right medial orbital part of the superior frontal gyrus (ORBsupmed) than both the EIU and the HC groups. Additionally, the hubness of the right ORBsupmed was found to be positively correlated with the highest excessive internet gaming degree during the past year in the EIU group but not the IGD group; this might be the protective mechanism that prevents EIUs from becoming addicted to internet games. Moreover, the hubness of the right ORBsupmed was found to be related to the treatment outcome of patients with IGD, with higher hubness of this region indicating better recovery when undergoing forced abstinence. Further modelling analysis of the DDT and IGT showed that patients with IGD displayed higher impulsivity during the decision-making process, and impulsivity-related parameters were negatively correlated with the hubness of right ORBsupmed. Conclusions: Our findings revealed that the impulsivity-related right ORBsupmed hubness could serve as a potential biomarker of IGD and provide clues for the diagnosis and treatment of IGD.

Indexed as

Behaviour, AddictiveBrainCognitive Neuroscience

Identifiers

PMID37583792
PMCPMC10423834
OpenAlexW4385741674

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LicenceCC BY-NC
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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.