Evidence map›Paper›PMID 38711213›Full record

ArticleAddiction biology2024

White matter integrity of right frontostriatal circuit predicts internet addiction severity among internet gamers.

Hui Zhou, Liangyu Gong, Conghui Su, Binyu Teng, Wan Xi, Xiumei Li, Fengji Geng, Yuzheng Hu

Abstract read
In one paragraph

Article in Addiction biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hui ZhouThe State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China.
Liangyu GongDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.ORCID 0000-0002-8618-2559
Conghui SuDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
Binyu TengDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
Wan XiDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
Xiumei LiDepartment of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China.
Fengji GengDepartment of Curriculum and Learning Sciences, Zhejiang University, Zijingang Campus, Hangzhou, China.
Yuzheng HuThe State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China.ORCID 0000-0003-3427-0650

Funding

Ministry of Education of China 20211033MOE Frontiers Science Center for Brain Science & Brain-Machine Integration, Zhejiang UniversityNational Natural Science Foundation of China 62077042National Natural Science Foundation of China 81971245STI 2030-Major Projects 2021ZD0200409Zhejiang Province "Qianjiang Talent Program," Research of Basic Discipline for the 2.0 Base of Top-notch Students Training Program
6 · The paper itself

Abstract

Excessive use of the internet, which is a typical scenario of self-control failure, could lead to potential consequences such as anxiety, depression, and diminished academic performance. However, the underlying neuropsychological mechanisms remain poorly understood. This study aims to investigate the structural basis of self-control and internet addiction. In a cohort of 96 internet gamers, we examined the relationships among grey matter volume and white matter integrity within the frontostriatal circuits and internet addiction severity, as well as self-control measures. The results showed a significant and negative correlation between dACC grey matter volume and internet addiction severity (p < 0.001), but not with self-control. Subsequent tractography from the dACC to the bilateral ventral striatum (VS) was conducted. The fractional anisotropy (FA) and radial diffusivity of dACC-right VS pathway was negatively (p = 0.011) and positively (p = 0.020) correlated with internet addiction severity, respectively, and the FA was also positively correlated with self-control (p = 0.036). These associations were not observed for the dACC-left VS pathway. Further mediation analysis demonstrated a significant complete mediation effect of self-control on the relationship between FA of the dACC-right VS pathway and internet addiction severity. Our findings suggest that the dACC-right VS pathway is a critical neural substrate for both internet addiction and self-control. Deficits in this pathway may lead to impaired self-regulation over internet usage, exacerbating the severity of internet addiction.

Indexed as

Diffusion Tensor ImagingGray MatterInternet Addiction DisorderSelf-ControlWhite MatterAdultCorpus StriatumFemaleFrontal LobeHumansInternetMaleNeural PathwaysSeverity of Illness IndexVentral StriatumYoung Adultdorsal anterior cingulate cortexDTIinternet addictionprefrontal‐striatum circuitsself‐controlVBM

Identifiers

PMID38711213
PMCPMC11074389

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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.