Altered coupling of default-mode, executive-control and salience networks in Internet gaming disorder (2017)

Eur Psychiatry. 2017 Jul 12;45:114-120. doi: 10.1016/j.eurpsy.2017.06.012.

Zhang JT1, Ma SS1, Yan CG2, Zhang S3, Liu L4, Wang LJ1, Liu B1, Yao YW1, Yang YH5, Fang XY6.



Recently, a triple-network model suggested the abnormal interactions between the executive-control network (ECN), default-mode network (DMN) and salience network (SN) are important characteristics of addiction, in which the SN plays a critical role in allocating attentional resources toward the ECN and DMN. Although increasing studies have reported dysfunctions in these brain networks in Internet gaming disorder (IGD), interactions between these networks, particularly in the context of the triple-network model, have not been investigated in IGD. Thus, we aimed to assess alterations in the inter-network interactions of these large-scale networks in IGD, and to associate the alterations with IGD-related behaviors.


DMN, ECN and SN were identified using group-level independent component analysis (gICA) in 39 individuals with IGD and 34 age and gender matched healthy controls (HCs). Then alterations in the SN-ECN and SN-DMN connectivity, as well as in the modulation of ECN versus DMN by SN, using a resource allocation index (RAI) developed and validated previously in nicotine addiction, were assessed. Further, associations between these altered network coupling and clinical assessments were also examined.


Compared with HCs, IGD had significantly increased SN-DMN connectivity and decreased RAI in right hemisphere (rRAI), and the rRAI in IGD was negatively associated with their scores of craving.


These findings suggest that the deficient modulation of ECN versus DMN by SN might provide a mechanistic framework to better understand the neural basis of IGD and might provide novel evidence for the triple-network model in IGD.

KEYWORDS: Default-mode network; Executive-control network; Independent component analysis; Internet gaming disorder; Resource allocation index; Salience network

PMID: 28756109

DOI: 10.1016/j.eurpsy.2017.06.012