Altered brain functional networks in Internet gaming disorder: Independent component and graph theoretical analysis under a probability-discounting task

Wang, Ziliang, Liu, Xiaoyue, Hu, Yanbo, Zheng, Hui, Du, Xiaoxia and Dong, Guangheng (2019) Altered brain functional networks in Internet gaming disorder: Independent component and graph theoretical analysis under a probability-discounting task. CNS spectrums. ISSN 1092-8529 (In Press)

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Abstract / Description

Internet gaming disorder (IGD) is becoming a matter of concern around the world. However, the neural mechanism underlying IGD remains unclear. In present study, we used independent component analysis (ICA) and graph theoretical analysis (GTA) to explore the potential changed networks in IGD subjects compared to recreational game user (RGU) under a probability-discounting task. Imaging and behavioral data were collected from 18 IGD and 20 RGU subjects. Behavioral results showed the IGD subjects, comparing to RGU, prefer risky options to the fixed ones and spent less time in making risky decisions. In imaging results, the ICA analysis revealed that the IGD showed stronger functional connectivity (FC) in reward circuits and executive control network, as well as lower FC in anterior salience network (ASN) than RGU; for the GTA results, the IGD showed impaired FC in reward circuits and ASN compared to RGU. Taken all, these results suggest that IGD subjects were more sensitive to rewards and, at the same time, they usually neglect the potential punishment under a risky circumstance. Besides this, they were more impulsive in decision-making as they could not control their impulsivity effectively. This might explain why IGD subjects cannot stop their gaming behaviors even facing serve negative consequences.

Item Type: Article
Uncontrolled Keywords: ICA; GTA; possibility-discount task; executive control; reward circuits
Subjects: 100 Philosophy & psychology > 150 Psychology
500 Natural Sciences and Mathematics > 570 Life sciences; biology
Department: School of Social Sciences
Depositing User: Yanbo Hu
Date Deposited: 13 Dec 2018 09:17
Last Modified: 13 Dec 2018 09:17
URI: http://repository.londonmet.ac.uk/id/eprint/3614

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