Background
Repetitive use of internet-based games, often with other players, that leads to significant issues with functioning. Five of the following criteria must be met within 1 year: | |
A. Preoccupation or obsession with internet games. | |
B. Withdrawal symptoms when not playing internet games. | |
C. A build-up of tolerance – more time needs to be spent playing the games. | |
D. The person has tried to stop or curb playing internet games, but has failed to do so. | |
E. The person has had a loss of interest in other life activities, such as hobbies. | |
F. The person has had continued overuse of internet games even with the knowledge of how much they impact a person’s life. | |
G. The person lied to others about his or her internet game usage. | |
H. The person uses internet games to relieve anxiety or guilt – it is a way to escape. | |
I. The person has lost or put at risk an opportunity or relationship because of internet games. |
Methods
Results
Prevalence and classification of IGD
Author (year) | N of participants | Prevalence of IGD | Diagnostic criteria | Mean age of participants | Country | ||
---|---|---|---|---|---|---|---|
Total | Boys | Girls | |||||
Wartberg et al. (2017) [24] | 1095 | 2.4% | – | – | DSM-5 | 13.0 (SD = 0.8) | Germany |
Yu et al. (2016) [25] | 2024 | 5.9% | 10.4% | 1.2% | DSM-5 | 14.5 (SD = 0.5) | South Korea |
King et al. (2016) [5] | 824 | 3.1% | 5.7% | 0.7% | DSM-5 | 14.1~14.5 (SD = 1.2~1.5) | Australia |
Pontes et al. (2016) [13] | 1071 | 2.4% | – | – | DSM-5 | 13.4 (SD = 0.6) | Slovenia |
Rehbein et al. (2015) [14] | 11,003 | 1.2% | 2.0% | 0.3% | DSM-5 | 14.9 (range = 13–18) | Germany |
Johansson et al. (2004) [26] | 3237 | 2.7% | 4.2% | 1.1% | Young Diagnostic Questionnaire | 12~18 | Norway |
Strittmatter et al. (2015) [15] | 8807 | 3.6% | – | – | Young Diagnostic Questionnaire | 15.0 (SD = 1.3) | Estonia, Germany, Italy, Romania and Spain |
Müller et al. (2015) [12] | 112,938 | 1.6% | 3.1% | 0.3% | Assessment of Internet and Computer game Addiction -Gaming Module | 15.8 (SD = 0.7) | Germany, Greece, Iceland, the Netherlands, Poland, Romania, and Spain |
Vadlin et al. (2015) [30] | 1814 | 1.3% *2.4% | – | – | Gaming Addiction Identification Test and its parent version | 13~15 | Sweden |
Kiraly et al. (2014) [28] | 4875 | 4.3% | – | – | 12-item Problematic Online Gaming Questionnaire Short-Form | 16.4 (SD = 0.9) | Hungary |
Pápay et al. (2013) [27] | 5045 | 4.6% | – | – | 12-item Problematic Online Gaming Questionnaire Short-Form | 16.4 (SD = 0.9) | Hungary |
Van Rooij et al. (2011) [29] | 1572 | 3.6% | – | – | Compulsive Internet Use Scale | 14.4 (SD = 1.2) | the Netherlands |
Profile of IGD symptoms
Psycho-social features
Various psychological and social problems
Impulsiveness
Comorbidity with ADHD
Sensation seeking
Cognitive factors related to IGD
Family factors
Interview studies
Psychological interventions
Biological features
Resting state brain imaging studies of IGD
Author (year) | Participants | Diagnostic criteria | Brain imaging methods | Results |
---|---|---|---|---|
Han et al. (2017) [54] | IGD group: N = 78 (boys), 14.7 ± 2.0 years. Control group: N = 73 (boys), 14.6 ± 1.8 years. | 1) Excessive online game play time (more than 4 h per day/30 h per week); 2) IAT scores > 50; 3) Irritable, anxious and aggressive behavior when forced to stop online game play; 4) Impaired behaviors or distress, economic crisis and maladaptive regular life patterns including disrupted diurnal rhythms, irregular meals, failure to maintain personal hygiene and school refusal. | Method: fMRI (functional connectivity) Scanner: 3 T Software: AFNI, SPM12b, MatLab | IGD group showed increased functional connectivity between seven pairs of regions; left frontal eye field to dorsal anterior cingulate, left frontal eye field to right anterior insula, left DLPFC to left TPJ, right DLPFC to right TPJ, right auditory cortex to right motor cortex, right auditory cortex to supplementary motor area, and right auditory cortex to dorsal anterior cingulate. |
Park et al. (2017) [38] | IGA group: N = 19 (boys) 13.6 ± 1.0 years. Control group: N = 20 (boys), 13.4 ± 0.9 years. | Korean Internet Addiction Proneness Scale | Method: fMRI Scanner: 3 T Software: SPM8 and Data Processing Assistant for Resting-State Functional (DPARSF) | 1) Brain functional networks in IGA group showed higher global efficiency and lower local efficiency relative to the controls; IGA induced brain functional networks to shift toward a random topological architecture. 2) IGA group exhibited consistently higher regional global efficiency over the frontal-sensorimotor, frontal-temporal, frontal-limbic, and temporal region, and lower regional local efficiency in the sensorimotor and limbic regions than those of the controls. 3) Severe impulsiveness in IGA group was associated with topological alterations over frontolimbic connections. |
Jin et al. (2016) [52] | IGD group: N = 25 (16 boys and 9 girls), 19.1 ± 1.1 years. Control group: N = 21 (14 boys and 7 girls), 18.8 ± 1.8 years. | DSM-5 | Method: VBM and fMRI (functional connectivity) Scanner: 3 T Software: FMRIB Software Library (FSL) 4.1 | IGD group showed: 1) Decreased gray matter volume in PFC regions including the bilateral DLPFC, OFC, ACC, and the right SMA. 2) Decreased functional connectivity between several cortical regions and authors’ seeds, including the insula, and temporal and occipital cortices. 3) Decreased functional connectivity between some subcortical regions, i.e., dorsal striatum, pallidum, and thalamus. |
Du et al. (2016) [35] | IGD group: N = 25 (boys), 17.3 ± 3.4 years. Control group: N = 27 (boys), 17.5 ± 2.9 years. | Method: VBM Scanner: 3 T Software: VBM8 toolbox of the Statistical Parametric Mapping (SPM) 8 | Region-of-interest analysis revealed that gray matter volume in the right dmPFC, bilateral insula and OFC, right amygdala, and left fusiform gyrus showed significant positive correlations with impulsivity in the control group, while no significant correlation was found in the IGD group. | |
Wang et al. (2015) [37] | IGD group: N = 17 (13 boys and 4 girls), 16.9 ± 2.7 years. Control group: N = 24 (18 boys and 6 girls), 15.9 ± 2.7 years. | Modified YDQ for internet addiction criteria (answered “yes” to questions 1 through 5 and at least any one of the remaining three questions). | Method: fMRI Scanner: 3 T Software: DPARSF3.0 Advanced edition MRImaging toolkit | IGD group showed decreased voxel-mirrored homotopic connectivity (VMHC) between the left and right superior frontal gyrus (orbital part), inferior frontal gyrus (orbital part), middle frontal gyrus, and superior frontal gyrus. |
Wang et al. (2015) [53] | IGD group: N = 28 (18 boys and 10 girls), 18.8 (1.33) years. Control group: N = 28 (20 boys and 8 girls), 19.3 (2.56) years. | Modified YDQ for internet addiction criteria | Method: VBM Scanner: 3 T Software: FSL-VBM | IGD group showed: 1) Decreased gray matter volume of the bilateral ACC, precuneus, SMA, superior parietal cortex, left DLPFC, left insula, and bilateral cerebellum. 2) Negative correlation between gray matter volume of the ACC and the incongruent response errors of Stroop task. |
Hong et al. (2015) [96] | IGD group: N = 12 (boys), 13.41 ± 2.31 years. Control group: N = 11 (boys), 14.81 ± 0.87 years. | IAT score ≥ 50 | Method: fMRI Scanner: 3 T Software: SPM8 | IGD group showed: 1) Reduced dorsal putamen functional connectivity with the posterior insula-parietal operculum. 2) More time spent playing online games predicted significantly greater functional connectivity between the dorsal putamen and bilateral primary somatosensory cortices. 3) Significant and specific differences in the dorsal putamen functional connectivity. |
Xing et al. (2014) [97] | IGD group: N = 17 (10 boys and 7 girls), 19.1 ± 0.7 years. Control group: N = 17 (11 boys and 6 girls), 19.8 ± 1.3 years. | IAT score ≥ 50 | Method: fMRI (functional connectivity) and diffusion tensor imaging (DTI) tractography methods Scanner: 3 T Software: FMRIB’s Software Library (FSL) | IGD group showed: 1) Decreased fractional anisotropy (FA) in the right salience network (SN) tract and no significant differences in functional connectivity compared with the control group. 2) Negative correlation between FA values of the right SN tract and errors during the incongruent condition in a color-word Stroop task (i.e., impaired cognitive control). |
Feng et al. (2013) [36] | IGA group: N = 15 (13 boys and 2 girls), 16.93 ± 2.34 years. Control group: N = 18 (14 boys and 4 girls), 16.33 ± 2.61 years. | Modified YDQ for internet addiction criteria | Method: fMRI Scanner: 3 T Software: SPM8 | IGA group showed: 1) Higher global CBF in the left inferior temporal lobe/fusiform gyrus, left parahippocampal gyrus/amygdala, right medial frontal lobe/ACC, left insula, right insula, right middle temporal gyrus, right precentral gyrus, left SMA, left cingulate gyrus, and right inferior parietal lobe. 2) Lower CBF in the left middle temporal gyrus, left middle occipital gyrus, and right cingulate gyrus. |
Ding et al. (2013) [98] | IGA group: N = 17 (13 boys and 4 girls), 16.94 ± 2.73 years. Control group: N = 24 (16 boys and 8 girls), 15.87 ± 2.69 years. | Modified YDQ for internet addiction criteria | Method: fMRI Scanner: 3 T Software: MRIcroN toolset, SPM5, and the Resting-State fMRI Data Analysis Toolkit | IGA group showed: 1) Increased functional connectivity in the bilateral cerebellum posterior lobe and middle temporal gyrus. 2) Decreased connectivity in the bilateral inferior parietal lobule and right inferior temporal gyrus. 3) Positive correlation between severity of internet addiction and connectivity in the PCC and right precuneus, posterior cingulate gyrus, thalamus, caudate nucleus, NAc, SMA, and lingual gyrus. 4) Negative correlation between severity of internet addiction and connectivity in the PCC and two areas (right cerebellum anterior lobe and left superior parietal lobule). |
Task-related brain imaging studies of IGD
Author (year) | Participants | Diagnostic criteria | Brain imaging methods | Results |
---|---|---|---|---|
Cai et al. (2016) [55] | IGD group: N = 27 (23 boys and 4 girls), 17.1 ± 0.9 years. Control group: N = 30 (22 boys and 8 girls), 18.3 ± 1.3 years. | DSM-5 | Method: MRI Scanner: 3 T Software: FreeSurfer v5.1.0 Task: Stroop test | IGD group showed: 1) Increased volumes of caudate nucleus and NAc. 2) Correlation between caudate nucleus volume and Stroop task performance (cognitive control). 3) Correlation between NAc volume and severity of internet addiction. |
Chun et al. (2015) [58] | IGD group: N = 16 (boys), 13.63 ± 1.03 years. Control group: N = 19 (boys), 13.37 ± 0.90 years. | Korean Internet Addiction Proneness Scale | Method: fMRI Scanner: 3 T Software: SPM8 Task: Discriminating the level of the negative feeling induced by the word stimuli including swear words, affective words, and neutral words | IGD group showed: 1) Reduced activation in the right OFC related to cognitive control and in the dorsal ACC related to social rejection during the swear word condition. 2) Negative correlation between activity in the right amygdala toward swear words and anger control score. |
Qi et al. (2015) [56] | IGD group: N = 23 (boys), 17.26 ± 3.56 years. Control group: N = 24 (boys), 17.42 ± 3.05 years. | [1] five or more “yes” responses on the YDQ for internet addition [2] IAT score ≥ 50 | Method: fMRI Scanner: 3 T Software: SPM8 Task: the balloon analog risk task (BART) ※The BART evaluates the modulation of the risk level (the probability of balloon explosion) | IGD group showed: 1) Reduced modulation of activation of the right DLPFC in response to risk level during the active BART. 2) Negative correlation between risk-related DLPFC activation during the active BART and (self-rating) impulsivity. |
Ding et al. (2014) [34] | IGD group: N = 17 (14 boys and 3 girls), 16.41 ± 3.20 years. Control group: N = 17 (14 boys and 3 girls), 16.29 ± 2.95 years. | Modified YDQ for internet addiction criteria | Method: fMRI Scanner: 3 T Software: SPM8 Task: Go/No-Go Task | IGD group showed: 1) Hyperactivity during No-Go trials in the left superior medial frontal gyrus, right anterior cingulate cortex, right superior/middle frontal gyrus, left inferior parietal lobule, left precentral gyrus, and left precuneus and cuneus. 2) Hypoactivity during No-Go trials in the bilateral middle temporal gyrus, bilateral inferior temporal gyrus, and right superior parietal lobule. 3) Positive association between activation of the left superior medial frontal gyrus and self-rated impulsiveness and addiction severity. |
Kim et al. (2012) [57] | Excessive online game playing group: N = 13, 14.5 ± 1.1 years. Control group: N = 10, 14.2 ± 1.3 years. | 1) IAT (≥50) 2) difficulty with daily life resulting from excessive game play | Method: fMRI Scanner: 3 T Software: The Brain Voyager software package Task: working memory task | Excessive online game playing group showed: 1) Greater activity in the right middle occipital gyrus, left cerebellum posterior lobe, left premotor cortex, and left middle temporal gyrus in response to working memory tasks during baseline measurements. 2) Increased activity within the right dorsolateral prefrontal cortex and left occipital fusiform gyrus after 4 weeks of treatment 3) Changes in the severity of online game playing were negatively correlated with changes in the mean beta value of the right dorsolateral prefrontal cortex in response to complex stimulation after 4 weeks of treatment. |
Han et al. (2012) [50] | OGA: N = 15, 14.2 ± 1.5 years. Adolescents without problematic online game play: N = 15, 14.0 ± 1.3 years. (Over 3 weeks, families were asked to carry out homework assignments focused on increasing family cohesion for more than 1 h/day and 4 days/week) | 1) Game playing time greater than 4 h per day and 30 h per week; 2) IAT ≥50; 3) impaired behaviors or distress due to excessive on-line game play which are modified from DSM-IV criteria for substance abuse | Method: fMRI Scanner: 3 T Software: The Brain Voyager software package Task: viewing affection and game scenes without responding | OGA group showed: 1) Decreased activity within the caudate, middle temporal gyrus, and occipital lobe in response to images depicting parental affection and increased activity of the middle frontal and inferior parietal in response scenes from online games, relative to control group at baseline. 2) Improvement in perceived family cohesion following 3 weeks of treatment was associated with an increase in the activity of the caudate nucleus in response to affection stimuli and was inversely correlated with changes in online game playing time. |