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Impulse control differentiates Internet gaming disorder from non-disordered but heavy Internet gaming use: Evidence from multiple behavioral and multimodal neuroimaging data.

Authors :
Zha, Rujing
Tao, Ran
Kong, Qingmei
Li, Huan
Liu, Ying
Huang, Ruiqi
Wei, Zhengde
Hong, Wei
Wang, Ying
Zhang, Daren
Fallgatter, Andreas J.
Yang, Yihong
Zhang, Xiaochu
Liang, Peipeng
Rao, Hengyi
Source :
Computers in Human Behavior. May2022, Vol. 130, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Billions of people play Internet games and some of them may develop Internet gaming disorder (IGD), yet the differences between IGD and non-disordered but heavy Internet gaming use behavior remain unclear. We used multiple behaviors and multimodal functional magnetic resonance imaging (fMRI) to examine the specificity of impulse control to differentiate IGD from non-disordered but heavy Internet gaming use. One hundred sixty subjects, including patients with IGD (PIGD), non-disordered but heavy Internet gaming participants (NIGP), and healthy controls rated Barratt Impulsiveness Scale, and 141 out of them completed delay-discounting task and resting-state during fMRI. The PIGD but not the NIGP showed altered impulsiveness and delay discounting behavior as compared to healthy controls. Moreover, the PIGD but not the NIGP showed altered activity pattern in the frontoparietal network as compared to healthy controls. The PIGD but not the NIGP showed altered functional connectivity in the frontoparietal network during delay discounting and resting-state as compared to healthy controls. Furthermore, impulse control-related behavioral and fMRI measures significantly classified PIGD from NIGP. This study provides consistent evidence supporting the specificity of impulse control for distinguishing IGD from non-disordered but heavy Internet gaming use. • The IGD but not the non-disordered but heavy Internet gaming participants (NIGP) showed altered impulsive behaviors. • The IGD but not the NIGP showed altered activity pattern in the frontoparietal network. • The PIGD but not the NIGP showed altered functional connectivity in the frontoparietal network during the delay discounting. • The PIGD but not the NIGP showed altered resting-state functional connectivity in the frontoparietal network. • Impulse control-related behavioral and fMRI measures significantly classified IGD from NIGP. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07475632
Volume :
130
Database :
Academic Search Index
Journal :
Computers in Human Behavior
Publication Type :
Academic Journal
Accession number :
154996423
Full Text :
https://doi.org/10.1016/j.chb.2022.107184