4.4 Article

Neural basis underlying the relation between internet addiction tendency and sleep quality: The intrinsic default-mode network connectivity pathways

Journal

INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY
Volume 195, Issue -, Pages -

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ELSEVIER
DOI: 10.1016/j.ijpsycho.2023.112264

Keywords

IA tendency; Sleep quality; Resting-state functional; Default-mode network

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This study used resting-state functional connectivity analysis to investigate the neural pathways between internet addiction tendency and sleep quality, and found a positive correlation between internet addiction tendency and the strength of functional connectivity within the default-mode network. Furthermore, internet addiction tendency mediated the relationship between these functional couplings and sleep quality.
Internet addiction (IA) tendency is considered an addictive behavior that results from excessive Internet use, and severely affecting an individual's physical health, emotion, and sleep. Although previous studies indicated that IA tendency was negatively correlated with sleep quality, the underlying neural basis of this relationship remained unclear. To address this issue, we utilized resting-state functional connectivity (RSFC) analysis to identify the neural pathways of the relationship between IA tendency and sleep quality. The behavioral results indicated a positive correlation between these two factors. And RSFC results revealed that IA tendency was positively related to the strength of functional connectivity within the default-mode network (DMN), including the right precuneus-left middle temporal gyrus (rPrcu-lMTG), the left anterior cingulate-left superior frontal gyrus (lAC-lSFG), and the left inferior parietal lobe-left medial superior frontal gyrus (lIPL-lMSFG). More importantly, mediation analysis demonstrated that IA tendency could mediate the relationship between these functional couplings and sleep quality. In conclusion, our findings suggest that intrinsic DMN connectivity may be an important neural pathways underlying the effects of IA tendency on sleep quality, and provide neural evidence for understanding the relationship between IA tendency and sleep quality.

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