Association between internet addiction, brain structure, and social capital in adolescents

上瘾 背外侧前额叶皮质 互联网 社会资本 心理学 联想(心理学) 精神科 前额叶皮质 认知 政治学 计算机科学 万维网 法学 心理治疗师
作者
Masahiro Matsunaga,Yohsuke Ohtsubo,Keiko Ishii,Hirohito Tsuboi,Kohta Suzuki,Haruto Takagishi
出处
期刊:Social Neuroscience [Taylor & Francis]
卷期号:18 (6): 355-364 被引量:2
标识
DOI:10.1080/17470919.2023.2264543
摘要

ABSTRACTOf late, internet addiction among adolescents has become a serious problem, with increased internet use. Previous research suggests that the more people become addicted to the internet, the more they isolate themselves from society. Conversely, it has been suggested that abundant social capital (the networks of relationships among people who live and work in a particular society) protects people from becoming addicted to the internet. This study focused on the brain structure of typical adolescents (10–18 years of age) and hypothesized that the size of the left dorsolateral prefrontal cortex (DLPFC), which is thought to be associated with self-control ability, is associated with both internet addiction and social capital. Voxel-based morphometry analysis indicated that left DLPFC volume was negatively correlated with the severity of internet addiction and positively correlated with social capital. Furthermore, correlation analysis demonstrated that the severity of internet addiction and social capital were negatively correlated. The statistical association between them was no longer significant when left DLPFC volume was used as a control variable. These results suggest that the left DLPFC may mediate the relationship between social capital and internet addiction in adolescents.KEYWORDS: Adolescentvoxel-based morphometryinternet addictionsocial capitaldorsolateral prefrontal cortex AcknowledgementsWe thank Tetsuya Matsuda, Junko Yamada, Qiulu Shou, Takuji Kinjo, and Mika Ohsawa for their help in conducting this research. We would also like to thank Editage (www.editage.com) for the English language editing.Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis study was supported by the Japan Society for the Promotion of Science, KAKENHI, Grant Number JP19K03197. AMED supported this research under Grant Number JP18dm0307001.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
svikarsk完成签到,获得积分10
1秒前
1秒前
check发布了新的文献求助10
1秒前
Hello应助qwf采纳,获得10
2秒前
zr想发SCI完成签到,获得积分10
3秒前
3秒前
狂野伯云完成签到,获得积分10
4秒前
4秒前
Lsy发布了新的文献求助10
4秒前
左手树完成签到 ,获得积分10
5秒前
6秒前
林雨晴发布了新的文献求助20
6秒前
Jasper应助shadow采纳,获得10
7秒前
华仔应助科研通管家采纳,获得10
7秒前
7秒前
CipherSage应助科研通管家采纳,获得10
7秒前
所所应助科研通管家采纳,获得10
7秒前
葛根完成签到,获得积分10
7秒前
小马甲应助科研通管家采纳,获得10
7秒前
研友_VZG7GZ应助科研通管家采纳,获得10
8秒前
bkagyin应助科研通管家采纳,获得10
8秒前
gbkjb完成签到,获得积分20
8秒前
共享精神应助科研通管家采纳,获得10
8秒前
8秒前
无花果应助科研通管家采纳,获得10
8秒前
9秒前
NexusExplorer应助科研通管家采纳,获得10
9秒前
石宇奇应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
zr想发SCI发布了新的文献求助10
9秒前
lalalall发布了新的文献求助10
9秒前
geewonii发布了新的文献求助10
9秒前
11秒前
13秒前
科研通AI6.2应助andy采纳,获得10
13秒前
15秒前
15秒前
隐形曼青应助jyyx采纳,获得10
15秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Blackwell's five-minute veterinary consult clinical companion: small animal gastrointestinal diseases 500
Data book on fatigue strength of metallic materials 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7563672
求助须知:如何正确求助?哪些是违规求助? 9144181
关于积分的说明 19552066
捐赠科研通 7151236
什么是DOI,文献DOI怎么找? 3262390
关于科研通互助平台的介绍 2428640
邀请新用户注册赠送积分活动 2252109