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Altered functional network activities for behavioral adjustments and Bayesian learning in young men with Internet gaming disorder.

1Institute of Developmental Psychology, Beijing Normal University, Beijing, China. 2Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA. 3Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA. 4Faculty of Education, Beijing Normal University, Beijing, China. 5State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. 6IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China. 7Beijing Key Lab of Applied Experimental Psychology, School of Psychology, Beijing Normal University, Beijing, China. 8German Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany. 9Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117 Berlin, Germany.

Journal of behavioral addictions. 2021;(1):112-122
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Abstract

BACKGROUND AND AIMS Deficits in cognitive control represent a core feature of addiction. Internet Gaming Disorder (IGD) offers an ideal model to study the mechanisms underlying cognitive control deficits in addiction, eliminating the confounding effects of substance use. Studies have reported behavioral and neural deficits in reactive control in IGD, but it remains unclear whether individuals with IGD are compromised in proactive control or behavioral adjustment by learning from the changing contexts. METHODS Here, fMRI data of 21 male young adults with IGD and 21 matched healthy controls (HC) were collected during a stop-signal task. We employed group independent component analysis to investigate group differences in temporally coherent, large-scale functional network activities during post-error slowing, the typical type of behavioral adjustments. We also employed a Bayesian belief model to quantify the trial-by-trial learning of the likelihood of stop signal - P(Stop) - a broader process underlying behavioral adjustment, and identified the alterations in functional network responses to P(Stop). RESULTS The results showed diminished engagement of the fronto-parietal network during post-error slowing, and weaker activity in the ventral attention and anterior default mode network in response to P(Stop) in IGD relative to HC. DISCUSSION AND CONCLUSIONS These results add to the literatures by suggesting deficits in updating and anticipating conflicts as well as in behavioral adjustment according to contextual information in individuals with IGD.