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Journal ArticleDOI

Brain correlates of craving for online gaming under cue exposure in subjects with Internet gaming addiction and in remitted subjects

TLDR
Brain correlates of cue‐induced craving to play online games in subjects with Internet gaming addiction, subjects in remission from IGA and controls showed that bilateral dorsolateral prefrontal cortex (DLPFC), precuneus, left parahippocampus, posterior cingulate and right anterior cingulates were activated in response to gaming cues and their activation was stronger in the IGA group than those in the control group.
Abstract
This study aimed to evaluate brain correlates of cue-induced craving to play online games in subjects with Internet gaming addiction (IGA), subjects in remission from IGA and controls. The craving response was assessed by event-related design of functional magnetic resonance images (fMRIs). Fifteen subjects with IGA, 15 in remission from IGA and 15 controls were recruited in this study. The subjects were arranged to view the gaming screenshots and neutral images under investigation of fMRIs. The results showed that bilateral dorsolateral prefrontal cortex (DLPFC), precuneus, left parahippocampus, posterior cingulate and right anterior cingulate were activated in response to gaming cues in the IGA group and their activation was stronger in the IGA group than those in the control group. Their region-of-interest was also positively correlated with subjective gaming urge under cue exposure. These activated brain areas represent the brain circuit corresponding to the mechanism of substance use disorder. Thus, it would suggest that the mechanism of IGA is similar to substance use disorder. Furthermore, the IGA group had stronger activation over right DLPFC and left parahippocampus than did the remission group. The two areas would be candidate markers for current addiction to online gaming and should be investigated in future studies.

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Journal ArticleDOI

Error processing and response inhibition in excessive computer game players: an event-related potential study.

TL;DR: It might be that trait impulsivity, poor error processing and diminished behavioral response inhibition underlie the excessive gaming patterns observed in certain individuals, which might be less sensitive to negative consequences of gaming and therefore continue their behavior despite adverse consequences.
Journal ArticleDOI

Frontostriatal circuits, resting state functional connectivity and cognitive control in internet gaming disorder.

TL;DR: The cognitive control deficits in IGD were correlated with the reduced frontostrital RSFC strength and this work detected striatum volume and frontostriatal circuits RSFC differences between IGD and healthy controls, which provided evidence of some degree of the similarity betweenIGD and SUD.
Journal ArticleDOI

Effects of craving behavioral intervention on neural substrates of cue-induced craving in Internet gaming disorder

TL;DR: Compared neural activation between 40 IGD and 19 healthy control subjects during an Internet-gaming cue-reactivity task and found that IGD subjects showed stronger activation in multiple brain areas, but lower activation in the posterior insula.
Journal ArticleDOI

Video game addiction in emerging adulthood: Cross-sectional evidence of pathology in video game addicts as compared to matched healthy controls.

TL;DR: Participants who met the IGDS criteria for video game addiction displayed poorer emotional, physical, mental, and social health, adding to the growing evidence that video game addictions are a valid phenomenon.
Journal ArticleDOI

Disordered gambling: the evolving concept of behavioral addiction.

TL;DR: The cognitive sequelae of gambling disorder may provide insights into addictive vulnerabilities; this idea is critically evaluated in light of recent structural imaging data and a fundamental question of how a behavior can become addictive in the absence of exogenous drug stimulation is analyzed.
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Journal Article

Region of interest analysis using an SPM toolbox

Matthew Brett
- 01 Jan 2002 - 
TL;DR: A toolbox called MarsBar is implemented for region of interest analysis within the SPM99 software package, which may have many advantages in terms of statistical power and the ease of interpretation of neuroimaging data.
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