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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

Assessment of in vivo microstructure alterations in gray matter using DKI in internet gaming addiction

TL;DR: The lower diffusional kurtosis parameters in IGA suggest multiple differences in brain microstructure, which may contribute to the underlying pathophysiology of IGA.
Journal ArticleDOI

Molecular and Functional Imaging of Internet Addiction

TL;DR: MRI and nuclear imaging findings indicate that IA is associated with dysfunction of the brain dopaminergic systems, and abnormal dopamine regulation of the prefrontal cortex could underlie the enhanced motivational value and uncontrolled behavior over Internet overuse in addicted subjects.
Journal ArticleDOI

Structural alterations in the prefrontal cortex mediate the relationship between Internet gaming disorder and depressed mood

TL;DR: The DLPFC, involved in cognitive control, was observed to serve as a mediator in the association between prolonged gaming and depressed mood and may provide insight into an intervention strategy for treating IGD with comorbid depression.
Journal ArticleDOI

Craving behavioral intervention for internet gaming disorder: remediation of functional connectivity of the ventral striatum.

TL;DR: Results demonstrated that functional connectivity between VS and lIPL, each presumably mediating gaming craving and attentional bias, may be a potential biomarker of the efficacy of psychobehavioral intervention and suggested that non‐invasive techniques such as transcranial magnetic or direct current stimulation targeting the VS‐IPL circuitry may be used in the treatment of Internet gaming disorders.
Journal ArticleDOI

Is Sensation Seeking a correlate of excessive behaviors and behavioral addictions? A detailed examination of patients with Gambling Disorder and Internet Addiction

TL;DR: Decreased scores in some subscales of Sensation Seeking were found among male patients compared to healthy controls with no differences between patients with Gambling Disorder and Internet Addiction.
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Journal ArticleDOI

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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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