Literature DB >> 25573247

Core brain networks interactions and cognitive control in internet gaming disorder individuals in late adolescence/early adulthood.

Kai Yuan1,2, Wei Qin3,4, Dahua Yu5, Yanzhi Bi1,2, Lihong Xing1,2, Chenwang Jin6, Jie Tian1,2,7.   

Abstract

Regardless of whether it is conceptualized as a behavioral addiction or an impulse-control disorder, internet gaming disorder (IGD) has been speculated to be associated with impaired cognitive control. Efficient cognitive behavior involves the coordinated activity of large-scale brain networks, however, whether the interactions among these networks during resting state modulated cognitive control behavior in IGD adolescents remain unclear. Twenty-eight IGD adolescents and twenty-five age-, gender-, and education-matched healthy controls participated in our study. Stroop color-word task was conducted to evaluate the cognitive control deficits in IGD adolescents. Functional connectivity and Granger Causal Analysis were employed to investigate the functional and effective connections within and between the salience, central executive, and default mode networks. Meanwhile, diffusion tensor imaging was used to assess the structural integrity of abnormal network connections. The abnormal functional connectivity within central executive networks and effective connectivity within salience network in IGD adolescents were detected. Moreover, the inefficient interactions between these two brain networks were observed. In addition, we identified reduced fractional anisotropy in salience network, right central executive network tracts, and between-network (the anterior cingulate cortex-right dorsolateral prefrontal cortex tracts) pathways in IGD individuals. Notably, we observed a significant correlation between the effective and structural connection from salience network to central executive network and the number of errors during incongruent condition in Stroop task in both IGD and control subjects. Our results suggested that impaired cognitive control in IGD adolescents is likely to be mediated through the abnormal interactions and structural connection between intrinsic large-scale brain networks.

Entities:  

Keywords:  Central executive network; Cognitive control; Default mode network; Internet gaming disorder; Salience network

Mesh:

Year:  2015        PMID: 25573247     DOI: 10.1007/s00429-014-0982-7

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  35 in total

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2.  Striato-cortical tracts predict 12-h abstinence-induced lapse in smokers.

Authors:  Kai Yuan; Meng Zhao; Dahua Yu; Peter Manza; Nora D Volkow; Gene-Jack Wang; Jie Tian
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3.  The implication of frontostriatal circuits in young smokers: A resting-state study.

Authors:  Kai Yuan; Dahua Yu; Yanzhi Bi; Yangding Li; Yanyan Guan; Jixin Liu; Yi Zhang; Wei Qin; Xiaoqi Lu; Jie Tian
Journal:  Hum Brain Mapp       Date:  2016-02-25       Impact factor: 5.038

4.  Effects of network topologies on stochastic resonance in feedforward neural network.

Authors:  Jia Zhao; Yingmei Qin; Yanqiu Che; Huangyanqiu Ran; Jingwen Li
Journal:  Cogn Neurodyn       Date:  2020-03-13       Impact factor: 5.082

5.  Structural brain differences associated with extensive massively-multiplayer video gaming.

Authors:  Qinghua He; Ofir Turel; Lei Wei; Antoine Bechara
Journal:  Brain Imaging Behav       Date:  2021-02       Impact factor: 3.978

6.  Disrupted coupling of large-scale networks is associated with relapse behaviour in heroin-dependent men.

Authors:  Qiang Li; Jierong Liu; Wei Wang; Yarong Wang; Wei Li; Jiajie Chen; Jia Zhu; Xuejiao Yan; Yongbin Li; Zhe Li; Jianjun Ye; Wei Wang
Journal:  J Psychiatry Neurosci       Date:  2017-09-26       Impact factor: 6.186

7.  The changes of brain functional networks in young adult smokers based on independent component analysis.

Authors:  XianFu Wang; Ting Xue; Fang Dong; Yangding Li; Dongdong Xie; Chang Liu; Ming Zhang; Yanzhi Bi; Kai Yuan; Dahua Yu
Journal:  Brain Imaging Behav       Date:  2021-04       Impact factor: 3.978

8.  Detection of Mild Traumatic Brain Injury by Machine Learning Classification Using Resting State Functional Network Connectivity and Fractional Anisotropy.

Authors:  Victor M Vergara; Andrew R Mayer; Eswar Damaraju; Kent A Kiehl; Vince Calhoun
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9.  White matter integrity of central executive network correlates with enhanced brain reactivity to smoking cues.

Authors:  Yanzhi Bi; Kai Yuan; Dahua Yu; Ruonan Wang; Min Li; Yangding Li; Jinquan Zhai; Wei Lin; Jie Tian
Journal:  Hum Brain Mapp       Date:  2017-09-28       Impact factor: 5.038

Review 10.  The effect of preprocessing pipelines in subject classification and detection of abnormal resting state functional network connectivity using group ICA.

Authors:  Victor M Vergara; Andrew R Mayer; Eswar Damaraju; Kent Hutchison; Vince D Calhoun
Journal:  Neuroimage       Date:  2016-03-23       Impact factor: 6.556

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