Impaired Error-Monitoring Function in People with Internet Addiction Disorder: An Event-Related fMRI Study

Dong, Guangheng; Shen, Yue; Huang, Jie; Du, Xiaoxia

doi:10.1159/000346783

Cited by 64 publications

(56 citation statements)

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“…In the last 10 years, however, most researchers in this field have used the term “Internet addiction” or “Internet addiction disorder” (e.g., Johansson and Götestam, 2004; Block, 2008; Byun et al, 2009; Dong et al, 2010, 2011, 2013; Kim et al, 2011; Purty et al, 2011; Young, 2011b, 2013; Young et al, 2011; Zhou et al, 2011; Cash et al, 2012; Hou et al, 2012; Hong et al, 2013a,b; Kardefelt-Winther, 2014; Pontes et al, 2014; Tonioni et al, 2014). We also prefer the term “Internet addiction (IA),” because recent articles (see discussion in Brand et al, 2014) highlight the parallels between an overuse of the Internet and other addictive behaviors (e.g., Grant et al, 2013) and also substance dependency (see also Young, 2004; Griffiths, 2005; Meerkerk et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Internet addiction: coping styles, expectancies, and treatment implications

2014

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Internet addiction (IA) has become a serious mental health condition in many countries. To better understand the clinical implications of IA, this study tested statistically a new theoretical model illustrating underlying cognitive mechanisms contributing to development and maintenance of the disorder. The model differentiates between a generalized Internet addiction (GIA) and specific forms. This study tested the model on GIA on a population of general Internet users. The findings from 1019 users show that the hypothesized structural equation model explained 63.5% of the variance of GIA symptoms, as measured by the short version of the Internet Addiction Test. Using psychological and personality testing, the results show that a person’s specific cognitions (poor coping and cognitive expectations) increased the risk for GIA. These two factors mediated the symptoms of GIA if other risk factors were present such as depression, social anxiety, low self-esteem, low self-efficacy, and high stress vulnerability to name a few areas that were measured in the study. The model shows that individuals with high coping skills and no expectancies that the Internet can be used to increase positive or reduce negative mood are less likely to engage in problematic Internet use, even when other personality or psychological vulnerabilities are present. The implications for treatment include a clear cognitive component to the development of GIA and the need to assess a patient’s coping style and cognitions and improve faulty thinking to reduce symptoms and engage in recovery.

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Section: Introductionmentioning

confidence: 99%

Internet addiction: coping styles, expectancies, and treatment implications

2014

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“…In China, arguably the most important subtype of IAD may be IGD (Dong et al, 2011a, 2012, Dong et al, 2013c). One key feature of IGD is lost or diminished self-control over participation in Internet game-playing.…”

Section: Introductionmentioning

confidence: 99%

“…Executive function enables individuals to inhibit their desires and limit engagement in hedonic behaviors under unfavorable circumstances (Everitt et al, 2007, Goldstein and Volkow, 2011, Dong et al, 2013a, Sofuoglu et al, 2013, Lin et al, 2014a). Behavioral and/or brain differences between IGD and healthy controls have been observed during task performance on go/no-go (Dong et al, 2010), attention bias (Ko et al, 2013), set-shifting (Zhou et al, 2012, Dong et al, 2014), Stroop (Dong et al, 2011c), and error-processing (Dong et al, 2013c) tasks. Together, these data provide a neurobiological explanation for behavioral control difficulties that individuals with IGD often exhibit.…”

Section: Introductionmentioning

confidence: 99%

Decreased functional connectivity in an executive control network is related to impaired executive function in Internet gaming disorder

Dong

Lin

Potenza

2015

Progress in Neuro-Psychopharmacology and Biological Psychiatry

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159

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Background Resting brain spontaneous neural activities across cortical regions have been correlated with specific functional properties in psychiatric groups. Individuals with Internet gaming disorder (IGD) demonstrate impaired executive control. Thus, it is important to examine executive control networks (ECNs) during resting states and their relationships to executive control during task performance. Methods Thirty-five IGD and 36 healthy control participants underwent a resting-state fMRI scan and performed a Stroop task inside and outside of the MRI scanner. Correlations between Stroop effect and functional connectivity among ECN regions of interest (ROIs) were calculated within and between groups. Results IGD subjects show lower functional connectivity in ECNs than do HC participants during resting state; functional-connectivity measures in ECNs were negatively correlated with Stroop effect and positively correlated with brain activations in executive-control regions across groups. Within groups, negative trends were found between Stroop effect and functional connectivity in ECNs in IGD and HC groups, separately; positive trends were found between functional connectivity in ECNs and brain activations in Stroop task in IGD and HC groups, separately. Conclusions Higher functional connectivity in ECNs may underlie better executive control and may provide resilience with respect to IGD. Lower functional connectivity in ECNs may represent an important feature in understanding and treating IGD.

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“…Greater activity in the ACC was also revealed for the interference condition of the stroop paradigm (Dong et al, 2012b) and a meta-analysis showed that IAD had a significant hyperactivation in medial frontal/ACC (Meng et al, 2014). Subjects with IAD also demonstrated an impaired error monitoring ability compared to controls, which was related with the stronger activity in dorsal ACC in error responses (Dong et al, 2013a). Behavior studies showed that IAD individuals were associated with longer reaction time and more response errors in incongruent conditions than the controls without IAD (Dong et al, 2011).…”

Section: Discussionmentioning

confidence: 99%

“…In brief, it is consistently shown that the prefrontal cortex (PFC) and striatum are implicated in IAD. Subjects with IAD have reduced gray matter densities/volumes (Yuan et al, 2011; Zhou et al, 2011; Weng et al, 2013), cortical thickness (Hong et al, 2013a; Yuan et al, 2013), glucose metabolism (Tian et al, 2014) and altered brain activation (Dong et al, 2013a; Ko et al, 2014) in the PFC including the dorsolateral PFC, orbitofrontal cortex (OFC) and anterior cinguate cortex (ACC). IAD addicts were also found to have lower level of dopamine D2 receptors (Kim et al, 2011; Hou et al, 2012), altered glucose metabolism (Park et al, 2010a) and brain activation (Ko et al, 2014; Li et al, 2014) in the striatum.…”

Section: Introductionmentioning

confidence: 99%

Aberrant corticostriatal functional circuits in adolescents with Internet addiction disorder

Lin

Zhou

et al. 2015

Front. Hum. Neurosci.

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Abnormal structure and function in the striatum and prefrontal cortex (PFC) have been revealed in Internet addiction disorder (IAD). However, little is known about alterations of corticostriatal functional circuits in IAD. The aim of this study was to investigate the integrity of corticostriatal functional circuits and their relations to neuropsychological measures in IAD by resting-state functional connectivity (FC). Fourteen IAD adolescents and 15 healthy controls underwent resting-state fMRI scans. Using six predefined bilateral striatal regions-of-interest, voxel-wise correlation maps were computed and compared between groups. Relationships between alterations of corticostriatal connectivity and clinical measurements were examined in the IAD group. Compared to controls, IAD subjects exhibited reduced connectivity between the inferior ventral striatum and bilateral caudate head, subgenual anterior cingulate cortex (ACC), and posterior cingulate cortex, and between the superior ventral striatum and bilateral dorsal/rostral ACC, ventral anterior thalamus, and putamen/pallidum/insula/inferior frontal gyrus (IFG), and between the dorsal caudate and dorsal/rostral ACC, thalamus, and IFG, and between the left ventral rostral putamen and right IFG. IAD subjects also showed increased connectivity between the left dorsal caudal putamen and bilateral caudal cigulate motor area. Moreover, altered cotricostriatal functional circuits were significantly correlated with neuropsychological measures. This study directly provides evidence that IAD is associated with alterations of corticostriatal functional circuits involved in the affective and motivation processing, and cognitive control. These findings emphasize that functional connections in the corticostriatal circuits are modulated by affective/motivational/cognitive states and further suggest that IAD may have abnormalities of such modulation in this network.

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Impaired Error-Monitoring Function in People with Internet Addiction Disorder: An Event-Related fMRI Study

Cited by 64 publications

References 58 publications

Internet addiction: coping styles, expectancies, and treatment implications

Internet addiction: coping styles, expectancies, and treatment implications

Decreased functional connectivity in an executive control network is related to impaired executive function in Internet gaming disorder

Aberrant corticostriatal functional circuits in adolescents with Internet addiction disorder

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