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Internet and Gaming Addiction: A Systematic Literature Review of Neuroimaging Studies
Open accessAbstract
In the past decade, research has accumulated suggesting that excessive Internet use can lead to the development of a behavioral addiction. Internet addiction has been considered as a serious threat to mental health and the excessive use of the Internet has been linked to a variety of negative psychosocial consequences. The aim of this review is to identify all empirical studies to date that used neuroimaging techniques to shed light upon the emerging mental health problem of Internet and gaming addiction from a neuroscientific perspective. Neuroimaging studies offer an advantage over traditional survey and behavioral research because with this method, it is possible to distinguish particular brain areas that are involved in the development and maintenance of addiction. A systematic literature search was conducted, identifying 18 studies. These studies provide compelling evidence for the similarities between different types of addictions, notably substance-related addictions and Internet and gaming addiction, on a variety of levels. On the molecular level, Internet addiction is characterized by an overall reward deficiency that entails decreased dopaminergic activity. On the level of neural circuitry, Internet and gaming addiction led to neuroadaptation and structural changes that occur as a consequence of prolonged increased activity in brain areas associated with addiction. On a behavioral level, Internet and gaming addicts appear to be constricted with regards to their cognitive functioning in various domains. The paper shows that understanding the neuronal correlates associated with the development of Internet and gaming addiction will promote future research and will pave the way for the development of addiction treatment approaches.
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“In addition, the ventral striatum, a key part of the reward system, has been associated with compulsive internet use (Kuss and Griffiths, 2012).”
From The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review (2023) · cites this paper as Kuss and Griffiths, 2012
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“First, and most importantly, excessive use of the internet exhibits the same criteria that mark other substance and behavioral addictions (Andreassen, 2015; Grant & Chamberlain, 2014; Grant et al., 2010; Kuss & Griffiths, 2012; Young, 1998a, 1998b).”
From Ethics of the Attention Economy: The Problem of Social Media Addiction (2021) · cites this paper as Kuss & Griffiths, 2012
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“In addition, symptoms of digital technology and internet addiction can include withdrawal symptoms when the internet is inaccessible (Kuss and Griffiths, 2012).”
From The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review (2023) · cites this paper as Kuss and Griffiths, 2012
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Citations
Cites
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
(1998) · The Journal of Clinical Psychiatry · Cited by 19,139
The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire
HEATHERTON, T. F., KOZLOWSKI, L. T., FRECKER, R. C., & FAGERSTROM, K. (1991) · British Journal of Addiction · doi:10.1111/j.1360-0443.1991.tb01879.x · Cited by 10,738
(1998) · PubMed · Cited by 10,216
Kilzer, E., & Skinner, B. F. (1953) · The American Catholic Sociological Review · doi:10.2307/3707860 · Cited by 8,940
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
In search of how people change: Applications to addictive behaviors.
Prochaska, J. O., DiClemente, C. C., & Norcross, J. C. (1992) · American Psychologist · doi:10.1037/0003-066x.47.9.1102 · Cited by 8,596
Selective Cortical Undercutting As a Means of Modifying and Studying Frontal Lobe Function in Man
Scoville, W. B. (1949) · Journal of neurosurgery · doi:10.3171/jns.1949.6.1.0065 · Cited by 7,374
The mini international neuropsychiatric interview
Lecrubier, Y., Sheehan, D. V., Hergueta, T., & Weiller, E. (1998) · European Psychiatry · doi:10.1016/s0924-9338(99)80239-9 · Cited by 5,899
Internet Addiction: The Emergence of a New Clinical Disorder
YOUNG, K. S. (1998) · CyberPsychology & Behavior · doi:10.1089/cpb.1998.1.237 · Cited by 5,513
Neural systems of reinforcement for drug addiction: from actions to habits to compulsion
Everitt, B. J., & Robbins, T. W. (2005) · Nature Neuroscience · doi:10.1038/nn1579 · Cited by 3,785
THE McMASTER FAMILY ASSESSMENT DEVICE*
Epstein, N. B., Baldwin, L. M., & Bishop, D. S. (1983) · Journal of Marital and Family Therapy · doi:10.1111/j.1752-0606.1983.tb01497.x · Cited by 3,584
Diffusion tensor imaging: Concepts and applications
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1076 · Cited by 3,547
Lecrubier, Y., Sheehan, D., Weiller, E., Amorim, P., Bonora, I., Sheehan, K. H., Janavs, J., & Dunbar, G. (1997) · European Psychiatry · doi:10.1016/s0924-9338(97)83296-8 · Cited by 3,513
Electroencephalography—Basic principles, clinical applications and related fields
(1982) · Journal of the Autonomic Nervous System · doi:10.1016/0165-1838(82)90067-4 · Cited by 3,449
A “components” model of addiction within a biopsychosocial framework
Griffiths, M. (2005) · Journal of Substance Use · doi:10.1080/14659890500114359 · Cited by 3,088
Self-citationBIRMAHER, B., KHETARPAL, S., BRENT, D., CULLY, M., BALACH, L., KAUFMAN, J., & NEER, S. M. (1997) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-199704000-00018 · Cited by 2,846
The Neural Basis of Addiction: A Pathology of Motivation and Choice
Kalivas, P. W., & Volkow, N. D. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.8.1403 · Cited by 2,757
Conditioned Reflexes: An Investigation of the Physiological Activity of the Cerebral Cortex.
Pavlov, P. I. (1930) · Archives of Neurology And Psychiatry · doi:10.1001/archneurpsyc.1930.02220110256018 · Cited by 2,681
Goldstein, R. Z., & Volkow, N. D. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.10.1642 · Cited by 2,667
The Oxford Handbook of Event-Related Potential Components
(2011) · doi:10.1093/oxfordhb/9780195374148.001.0001 · Cited by 2,263
Sheehan, D. V., Sheehan, K. H., Shytle, R. D., Janavs, J., Bannon, Y., Rogers, J. E., Milo, K. M., Stock, S. L., & Wilkinson, B. (2010) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.09m05305whi · Cited by 1,730
Conditioned reflexes: An investigation of the physiological activity of the cerebral cortex
Pavlov, I. P. (2010) · Annals of Neurosciences · doi:10.5214/ans.0972-7531.1017309 · Cited by 1,466
Addiction and the brain antireward system
Koob, G. F., & Le Moal, M. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093548 · Cited by 1,457
Evidence for striatal dopamine release during a video game
Koepp, M. J., Gunn, R. N., Lawrence, A. D., Cunningham, V. J., Dagher, A., Jones, T., Brooks, D. J., Bench, C. J., & Grasby, P. M. (1998) · Nature · doi:10.1038/30498 · Cited by 1,279
The Relationship Between Depression and Internet Addiction
YOUNG, K. S., & ROGERS, R. C. (1998) · CyberPsychology & Behavior · doi:10.1089/cpb.1998.1.25 · Cited by 1,233
Age norms for impulsiveness, venturesomeness and empathy in adults
Eysenck, S. B. G., Pearson, P. R., Easting, G., & Allsopp, J. F. (1985) · Personality and Individual Differences · doi:10.1016/0191-8869(85)90011-x · Cited by 1,163 · cited 1×
“All participants completed the Videogame Addiction Test (VAT) [73], the Dutch version of the Eysenck Impulsiveness Questionnaire [90,91], and the Quantity-Frequency-Variability Index for alcohol consumption [92].”
MethodInternet Gaming Addiction: A Systematic Review of Empirical Research
Kuss, D. J., & Griffiths, M. D. (2012) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-011-9318-5 · Cited by 1,113 · cited 1×
“Gaming represents a part of the postulated construct of Internet addiction, and gaming addiction appears to be the most widely studied specific form of Internet addiction to date [7].”
BackgroundSelf-citationPsychology of Computer Use: XL. Addictive Use of the Internet: A Case That Breaks the Stereotype
Young, K. S. (1996) · Psychological Reports · doi:10.2466/pr0.1996.79.3.899 · Cited by 1,108
Dopamine in drug abuse and addiction: results from imaging studies and treatment implications
Volkow, N. D., Fowler, J. S., Wang, G.-J., & Swanson, J. M. (2004) · Molecular Psychiatry · doi:10.1038/sj.mp.4001507 · Cited by 1,101
Modification in the Proposed Diagnostic Criteria for Internet Addiction
Beard, K. W., & Wolf, E. (2001) · CyberPsychology & Behavior · doi:10.1089/109493101300210286 · Cited by 1,019
Nucleus accumbens shell and core dopamine: differential role in behavior and addiction
Di Chiara, G. (2002) · Behavioural Brain Research · doi:10.1016/s0166-4328(02)00286-3 · Cited by 996
The addicted human brain: insights from imaging studies
Volkow, N. D., Fowler, J. S., & Wang, G.-J. (2003) · Journal of Clinical Investigation · doi:10.1172/jci18533 · Cited by 916
Shaw, M. C., & Black, D. W. (2008) · CNS Drugs · doi:10.2165/00023210-200822050-00001 · Cited by 898
The hidden island of addiction: the insula
Naqvi, N. H., & Bechara, A. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2008.09.009 · Cited by 833 · cited 1×
“Insula dysfunction may explain neurological activities indicative of relapse [60].”
BackgroundPosterior cingulate cortex activation by emotional words: fMRI evidence from a valence decision task
Maddock, R. J., Garrett, A. S., & Buonocore, M. H. (2003) · Human Brain Mapping · doi:10.1002/hbm.10075 · Cited by 695
Toward a syndrome model of addiction: Multiple expressions, common etiology
Shaffer, H. J., LaPlante, D. A., LaBrie, R. A., Kidman, R. C., Donato, A. N., & Stanton, M. V. (2004) · Harvard Review of Psychiatry · doi:10.1080/10673220490905705 · Cited by 682 · cited 2×
“Taken together, the research presented in this review substantiates a syndrome model of addictions for there appear to be neurobiological commonalities in different addictions [115].”
BackgroundResultBrain activities associated with gaming urge of online gaming addiction
Ko, C.-H., Liu, G.-C., Hsiao, S., Yen, J.-Y., Yang, M.-J., Lin, W.-C., Yen, C.-F., & Chen, C.-S. (2009) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2008.09.012 · Cited by 666 · cited 6×
“Hou, Jia, Hu, Fan, Sun, Sun & Zhang [51] Examined reward circuitry dopamine transporter levels in Internet addicts compared to controls 5 male Internet addicts 9 healthy age-matched male controls [SPECT study: 99mTc-TRODAT-1 single photon emission computed tomography (SPECT) brain scans using Siemens Diacam/e.cam/icon…”
BackgroundInfluentialShould addictive disorders include non-substance-related conditions?
Potenza, M. N. (2006) · Addiction · doi:10.1111/j.1360-0443.2006.01591.x · Cited by 663
Volkow, N. D., Fowler, J. S., & Wang, G.-J. (2004) · Neuropharmacology · doi:10.1016/j.neuropharm.2004.07.019 · Cited by 616
Proposed diagnostic criteria for internet addiction
Tao, R., Huang, X., Wang, J., Zhang, H., Zhang, Y., & Li, M. (2010) · Addiction · doi:10.1111/j.1360-0443.2009.02828.x · Cited by 614
Factor Analysis of Some Psychometric Measures of Impulsiveness and Anxiety
Barratt, E. S. (1965) · Psychological Reports · doi:10.2466/pr0.1965.16.2.547 · Cited by 593
Neuroplasticity in the mesolimbic dopamine system and cocaine addiction
Thomas, M. J., Kalivas, P. W., & Shaham, Y. (2008) · British Journal of Pharmacology · doi:10.1038/bjp.2008.77 · Cited by 521
Orbitofrontal cortex, decision-making and drug addiction
Schoenbaum, G., Roesch, M. R., & Stalnaker, T. A. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2005.12.006 · Cited by 499
Development of a Chinese Internet addiction scale and its psychometric study
Chen, Z.-S., Weng, L., Su, Y., Wu, H., Yang, P., Chen, W., Hm, W., Yang, P., & Chen, T.-K. (2003) · Cited by 485
Johansson, A., & Götestam, K. G. (2004) · Scandinavian Journal of Psychology · doi:10.1111/j.1467-9450.2004.00398.x · Cited by 484
Internet Addiction: Metasynthesis of 1996–2006 Quantitative Research
Byun, S., Ruffini, C., Mills, J. E., Douglas, A. C., Niang, M., Stepchenkova, S. O., Lee, S. K., Loutfi, J., Lee, J.-K., Atallah, M., et al. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2008.0102 · Cited by 483
Involvement of Primary Motor Cortex in Motor Imagery: A Neuromagnetic Study
Schnitzler, A., Salenius, S., Salmelin, R. H., Jousmäki, V., & Hari, R. (1997) · NeuroImage · doi:10.1006/nimg.1997.0286 · Cited by 441
Morrison, C. M., & Gore, H. (2010) · Psychopathology · doi:10.1159/000277001 · Cited by 437
Internet addiction: a descriptive clinical study focusing on comorbidities and dissociative symptoms
Bernardi, S., & Pallanti, S. (2009) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2008.11.011 · Cited by 421
Prefrontal responses to drug cues: a neurocognitive analysis
Wilson, S. J., Sayette, M. A., & Fiez, J. A. (2004) · Nature Neuroscience · doi:10.1038/nn1200 · Cited by 408
Meta-analysis of P300 amplitude from males at risk for alcoholism.
Polich, J. M., Pollock, V. E., & Bloom, F. E. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.115.1.55 · Cited by 400
Bailey, D. L., Valk, P. E., Townsend, D. W., & Maisey, M. N. (2005) · Springer eBooks · doi:10.1007/b136169 · Cited by 399
The Neurobiology of Substance and Behavioral Addictions
Grant, J. E., Brewer, J. A., & Potenza, M. N. (2006) · CNS Spectrums · doi:10.1017/s109285290001511x · Cited by 372
Huang, X., Zhang, H., Mengchen, L., Jinan, W., Ying, Z., & Ran, T. (2010) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2009.0222 · Cited by 369
First, M. B., Spitzer, R. L., Gibbon, M., & Williams, J. B. W. (1997) · Medical Entomology and Zoology · Cited by 367
Microstructure Abnormalities in Adolescents with Internet Addiction Disorder
Yuan, K., Qin, W., Wang, G., Zeng, F., Zhao, L., Yang, X., Liu, P., Liu, J., Sun, J., von Deneen, K. M., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020708 · Cited by 367
Jensen, J. (2005) · SecEd · doi:10.12968/sece.2005.4.415 · Cited by 362
Li, C.-S. R., & Sinha, R. (2008) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.10.003 · Cited by 345
Han, D. H., Hwang, J. W., & Renshaw, P. F. (2010) · Experimental and Clinical Psychopharmacology · doi:10.1037/a0020023 · Cited by 324
Gray matter abnormalities in internet addiction: a voxel-based morphometry study
Zhou, Y., Lin, F.-C., Du, Y.-S., Qin, L.-D., Zhao, Z.-M., Xu, J.-R., & Lei, H. (2011) · European Journal of Radiology · doi:10.1016/j.ejrad.2009.10.025 · Cited by 301 · cited 5×
“Analysed white matter fractional anisotropy (FA) changes by using diffusion tensor imaging (DTI) to associate brain structural changes to Internet addiction length] Modified Diagnostic Questionnaire for Internet Addiction [72] Increased FA of left posterior limb of internal capsule (PLIC) and reduced FA in white matte…”
MethodInfluentialLin, F., Zhou, Y. F., Du, Y., Qin, L.-D., Zhao, Z., Jian-rong, X., & Lei, H. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030253 · Cited by 297
Nucleus Accumbens Long-Term Depression and the Expression of Behavioral Sensitization
Brebner, K., Wong, T. P., Liu, L., Liu, Y., Campsall, P. A., Gray, S. L., Phelps, L., Phillips, A. G., & Wang, Y. T. (2005) · Science · doi:10.1126/science.1116894 · Cited by 296
Dong, G., Lu, Q., Zhou, H., & Zhao, X. (2010) · Neuroscience Letters · doi:10.1016/j.neulet.2010.09.002 · Cited by 296 · cited 9×
“Furthermore, Internet addicts appear to have an impaired executive control ability relative to controls [56,53].”
BackgroundResultInfluentialReduced striatal dopamine D2 receptors in people with Internet addiction
Kim, S. H., Baik, S.-H., Park, C. S., Kim, S. J., Choi, S. W., & Kim, S. E. (2011) · NeuroReport · doi:10.1097/wnr.0b013e328346e16e · Cited by 295 · cited 6×
“Frequent gaming and Internet use were shown to decrease dopamine levels (due to decreased dopamine transporter availability) and lead to neurobiological dysfunctions in the dopaminergic system in Internet addicts [49,51].”
BackgroundResultInfluentialLin, M., Ko, H., & Wu, J. Y. (2011) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2010.0574 · Cited by 278
Gender differences in the mesocorticolimbic system during computer game-play
Hoeft, F., Watson, C., Kesler, S. R., Bettinger, K. E., & Reiss, A. L. (2008) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2007.11.010 · Cited by 263
Internet addiction: prevalence, discriminant validity and correlates among adolescents in Hong Kong
Fu, K., Chan, W. S. C., Wong, P. W. C., & YIP, P. S. F. (2010) · The British Journal of Psychiatry · doi:10.1192/bjp.bp.109.075002 · Cited by 260
Dong, G., Huang, J., & Du, X. (2011) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2011.06.017 · Cited by 258
Ko, C., Yen, J., Chen, S., Yang, M., Lin, H., & Yen, C. (2009) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2007.05.019 · Cited by 254
Lemmens, P. H. H. M., Tan, E. S., & Knibbe, R. A. (1992) · Journal of Studies on Alcohol · doi:10.15288/jsa.1992.53.476 · Cited by 252
A review of structural magnetic resonance neuroimaging
Symms, M. R. (2004) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2003.032714 · Cited by 251
SCL-90-R and 16PF Profiles of Senior High School Students with Excessive Internet Use
Yang, C., Choe, B.-M., Baity, M. R., Lee, J.-H., & Cho, J.-S. (2005) · The Canadian Journal of Psychiatry · doi:10.1177/070674370505000704 · Cited by 232
Functional magnetic resonance imaging
(2018) · Physics Subject Headings (PhySH) · doi:10.29172/99ff0294e6af41679a7239d01dcd5dad · Cited by 210
Positon emission tomography. Basic sciences
Bailey, D. L., Townsend, D. W., Valk, P. E., & Editors, M. N. M. (2006) · Journal of Neuroradiology · doi:10.1016/s0150-9861(06)77283-2 · Cited by 202
Anterior cingulate cortex hypoactivations to an emotionally salient task in cocaine addiction
Goldstein, R. Z., Alia‐Klein, N., Tomasi, D. G., Honorio, J., Maloney, T., Woicik, P. A., Wang, R., Telang, F., & Volkow, N. D. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900491106 · Cited by 200
Old World Monkeys — Evolution, Systematics, and Behaviour
ASHTON, E. H. (1972) · Europe PMC (PubMed Central) · Cited by 190
Changes in Cue-Induced, Prefrontal Cortex Activity with Video-Game Play
Han, D. H., Kim, Y., Lee, Y. S., Min, K. J., & Renshaw, P. F. (2010) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2009.0327 · Cited by 174
Littel, M., van den Berg, I., Luijten, M., van Rooij, A. J., Keemink, L. M., & Franken, I. (2012) · Addiction Biology · doi:10.1111/j.1369-1600.2012.00467.x · Cited by 171
Dong, G., Zhou, H., & Zhao, X. (2011) · Neuroscience Letters · doi:10.1016/j.neulet.2011.05.047 · Cited by 167
Reduced Striatal Dopamine Transporters in People with Internet Addiction Disorder
Hou, H., Jia, S., Hu, S., Fan, R., Sun, W., Sun, T., & Zhang, H. (2012) · Journal of Biomedicine and Biotechnology · doi:10.1155/2012/854524 · Cited by 165
Can Video Games be Used to Predict or Improve Laparoscopic Skills?
Rosenberg, B. H., Landsittel, D. P., & Averch, T. D. (2005) · Journal of Endourology · doi:10.1089/end.2005.19.372 · Cited by 165
Han, D. H., Lyoo, I. K., & Renshaw, P. F. (2012) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2012.01.004 · Cited by 156
Yeh, P., Simpson, K., Durazzo, T. C., Gazdzinski, S. P., & Meyerhoff, D. J. (2009) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2008.07.012 · Cited by 139
White matter microstructure in opiate addiction
Bora, E., Yücel, M., Fornito, A., Pantelis, C., Harrison, B. J., Cocchi, L., Pell, G., & Lubman, D. I. (2012) · Addiction Biology · doi:10.1111/j.1369-1600.2010.00266.x · Cited by 130
Video Game Addiction Test: Validity and Psychometric Characteristics
van Rooij, A. J., Schoenmakers, T. M., van den Eijnden, R. J. J. M., Vermulst, A. A., & van de Mheen, D. (2012) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2012.0007 · Cited by 119
Internet addiction over the decade: a personal look back
YOUNG, K. S. (2010) · World Psychiatry · doi:10.1002/j.2051-5545.2010.tb00279.x · Cited by 113
Behavioural addictions in bipolar disorder patients: role of impulsivity and personality dimensions
Di Nicola, M., Tedeschi, D., Mazza, M., Martinotti, G., Harnic, D., Catalano, V., Bruschi, A., Pozzi, G., Bria, P., & Janiri, L. (2010) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.12.016 · Cited by 112
Liu, J., Gao, X.-P., Osunde, I., Li, X., Zhou, S., Zheng, H., & Li, L. (2010) · PubMed · Cited by 108
Sokhadze, E. M., Stewart, C., Hollifield, M. A., & Tasman, A. (2008) · Journal of Neurotherapy · doi:10.1080/10874200802502144 · Cited by 107
Impact of internal capsule lesions on outcome of motor hand function at one year post-stroke
Schiemanck, S. K., Kwakkel, G., Post, M. W. M., Kappelle, L. J., & Prevo, A. J. H. (2008) · Acta Dermato Venereologica · doi:10.2340/16501977-0130 · Cited by 86
Tsai, M., Tsai, Y., Chen, C.-Y., & Liu, C.-Y. (2005) · Alcoholism Clinical and Experimental Research · doi:10.1097/01.alc.0000151986.96710.e0 · Cited by 76
Beutel, M. E., Hoch, C., Wölfling, K., & Müller, K. W. (2011) · Zeitschrift für psychosomatische Medizin und Psychotherapie · doi:10.13109/zptm.2011.57.1.77 · Cited by 64
Validation of the Dutch translation of the I7 questionnaire
Lijffijt, M., Caci, H., & Kenemans, J. (2005) · Personality and Individual Differences · doi:10.1016/j.paid.2004.07.010 · Cited by 49
THE RELATIONSHIP BETWEEN INTERNET ADDICTION AND PSYCHOLOGICAL SYMPTOMS
Adalıer, A., & Balkan, E. (2012) · International journal of innovation and applied studies · Cited by 45
Complementary molecular imaging technologies: High resolution SPECT, PET and MRI
Meikle, S. R., Beekman, F. J., & Rose, S. (2006) · Drug Discovery Today Technologies · doi:10.1016/j.ddtec.2006.05.001 · Cited by 45
Diffusion Tensor Imaging of the Corpus Callosum in Addiction
Arnone, D., Abou‐Saleh, M. T., & Barrick, T. R. (2006) · Neuropsychobiology · doi:10.1159/000096992 · Cited by 43
Kripke and the Mind-Body Problem
Jacquette, D. (1987) · dialectica · doi:10.1111/j.1746-8361.1987.tb00895.x · Cited by 36
Jia, S., Wang, W., Liu, Y., & Wu, Z. (2005) · Addiction Biology · doi:10.1080/13556210500222456 · Cited by 29 · cited 1×
“Damages to the corpus striatum have been associated with heroin addiction [111].”
BackgroundP300 in heavy social drinkers: The effect of lorazepam
Nichols, J. M., & Martin, F. H. (1993) · Alcohol · doi:10.1016/0741-8329(93)90004-8 · Cited by 23
Effect of excessive Internet use on the time–frequency characteristic of EEG
Yu, H., Zhao, X., Li, N., Wang, M., & Zhou, P. (2009) · Progress in Natural Science Materials International · doi:10.1016/j.pnsc.2008.11.015 · Cited by 21
Dong, G., & Zhou, H. (2010) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2010.06.271 · Cited by 14
Computerspiel- und Internetsucht: Diagnostik, Phänomenologie, Pathogenese und Therapie
Müller, K., & Wölfling, K. (2011) · Suchttherapie · doi:10.1055/s-0031-1275314 · Cited by 9
Preliminarily Proposed Diagnostic Criteria of Pathological Internet Use
Wang, W. (2009) · Zhongguo xinli weisheng zazhi · Cited by 7
Targeting neural correlates of addiction
Craven, R. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1840 · Cited by 5
van Rooij, A. J., Schoenmakers, T. M., van den Eijnden, R. J. J. M., Vermulst, A. A., & van de Mheen, D. (2012) · PsycTESTS Dataset · doi:10.1037/t55378-000 · Cited by 5
Cognitive Neuroscience and the "Mind-Body problem"
Repovš, G. (2004) · Repository of the University of Ljubljana (University of Ljubljana) · Cited by 5
Factor structure of the Barratt impulsiveness scale
Patton, J. H., Stanford, M. S., & Barratt, E. S. (1995) · Journal of Clinical Psychology · doi:10.1002/1097-4679(199511)51:6
Research works printed but not linked: 5
- Beutel, 2011, Clinical characteristics of computer game and Internet addiction in persons seeking treatment in an outpatient clinic for computer game addiction, Z. Psychosom. Med. Psychother., 57, 77
- Ge, 2011, P300 change and cognitive behavioral therapy in subjects with Internet addiction disorder A 3-month follow-up study, Neural Regen. Res., 6, 2037
- Tao, 2008, A proposed criterion for clinical diagnosis of Internet addiction, Med. J. Chin. PLA, 33, 1188
- Huang, 2001, The compiling of the adolescence time management disposition scale, Acta Psychol. Sin., 33, 338
- Yi, 1995, Validity of short forms of the Korean-Wechsler Adult Intelligence Scale, Korean J. Clin. Psychol., 14, 111
Cited by
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Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.033 · Cited by 2,416
“The findings on reduced executive functioning and inhibitory control, perhaps as a consequence of cue-reactivity and craving, are consistent with results obtained from neuroimaging studies (cf. Kuss and Griffiths, 2012; Meng et al., 2015; Sepede et al., 2016).”
Internet addiction: a systematic review of epidemiological research for the last decade
Kuss, D., Griffiths, M., Karila, L., & Billieux, J. (2014) · Current Pharmaceutical Design · doi:10.2174/13816128113199990617 · Cited by 1,374
Self-citationOnline Social Network Site Addiction: A Comprehensive Review
Andreassen, C. S. (2015) · Current Addiction Reports · doi:10.1007/s40429-015-0056-9 · Cited by 1,212
Internet addiction and problematic Internet use: A systematic review of clinical research
Kuss, D. J., & López-Fernández, O. (2016) · World Journal of Psychiatry · doi:10.5498/wjp.v6.i1.143 · Cited by 851
Self-citationBrand, M., Young, K. S., & Laier, C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00375 · Cited by 565
“We now applied the same search and inclusion criteria as documented in the review by Kuss and Griffiths (2012) and identified 13 studies (excluding EEG studies) published in peer-reviewed journals from January 2013 to end of January 2014.”
BackgroundMethod
Metadata
- Authors
- Kuss, D. J., & Griffiths, M. D.
- Affiliations
- Nottingham Trent University (GB)
- Corresponding author
- Kuss, Daria J.
- Venue
- Brain Sciences
- Publisher
- MDPI AG
- Published
- 2012-09-05
- Volume
- 2
- Issue
- 3
- Pages
- 347-374
- ISSN
- 2076-3425 (ISSN-L)
- PMC
- PMC4061797
- OpenAlex
- W2086766205
- Cited by
- 437
- References
- 113
- Citations by year
- 2026: 37 · 2025: 31 · 2024: 20 · 2023: 43 · 2022: 32 · 2021: 31 · 2020: 46 · 2019: 31 · 2018: 36 · 2017: 37 · 2016: 28 · 2015: 32 · 2014: 21 · 2013: 12
- FWCI
- 11.22
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Brain Sciences (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Keywords
- internet addiction, gaming addiction, behavioral addiction, neuroimaging, dopaminergic activity, neural adaptation, brain structural changes, cognitive function, addiction treatment
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