The DOI matches its Crossref record; 110 of the 113 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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
The cited source says what the claim attributes to it.
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
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
Sorted by citations
Items 401–435 of 435
Ulu, E., Coşkun, U. H., & Karabey, B. (2025) · Educational Research & Implementation · doi:10.14527/edure.2025.01
Smrithi, L., Mathangi, D. C., & Kantipudi, S. J. (2025) · Journal of Education and Health Promotion · doi:10.4103/jehp.jehp_32_25
Digital Gaming and English L2 Informal Learning in Adolescents
Bui, T. H. M., Le, P. T. T., & Ali, F. (2025) · Simulation & Gaming · doi:10.1177/10468781251364372
A Longitudinal Study of the Processes and Outcomes of Trust in Ai ChatbotsPreprint
Ng, S. W. T., Zhang, R., & Tan, Y. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5396821
Cobzeanu, A., Opariuc‐Dan, C., & Vrabie, T. (2025) · Cogent Education · doi:10.1080/2331186x.2025.2559448 · Cited by 1
Similarities and Differences in Neuroimaging
Lin, X., Sun, Y., Zhao, H., Yong Fan, A., Zhang, Z., Meng, S., & Shi, J. (2025) · Advances in experimental medicine and biology · doi:10.1007/978-981-95-2411-2_4
A Review on the Research of Response Inhibition of Internet Addiction Disorder
余, 虹. (2020) · Advances in Psychology · doi:10.12677/ap.2020.103038
Benefits and Risks of the Digital World
Ahuja, A., & Johns, G. (2025) · Cambridge University Press eBooks · doi:10.1017/9781009110266.017
Mikicin, M., Pawiński, G., Cabak, A., & Mróz, A. (2025) · doi:10.2196/preprints.89907
Evli, M., Topbaş, Z. S., Şimşek, N., Işıkgöz, M., & Öztürk, H. İ. (2025) · Sağlık Bilimleri Dergisi · doi:10.34108/eujhs.1498128 · Cited by 1
Xie, W., Cao, S., Chao, X., Sun, Q. (., Zou, Q., Liu, C., Wu, G., Liu, Q., Wang, X., Hao, W., et al. (2026) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2026.100673
Pandey, D., Bhavsar, A. V., & Bajpai, A. (2026) · Journal of Ayurveda and Integrative Medicine · doi:10.1016/j.jaim.2025.101293 · Cited by 1
Craving as a transdiagnostic marker of addiction? A perspective for behavioral addictions
Allache, A., Auriacombe, M., Alexandre, J., & Serre, F. (2026) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2026.1770895
Systemic Health Includes Mental Health: Toward Accepting the Truth of Reality
Fowler, C. W. (2026) · Zygon® · doi:10.16995/zygon.25655
Inhibitory control in problematic usage of the internet: An ALE meta-analysis
Li, X., Yang, J., Turel, O., Zhang, S., & He, Q. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121859
Uso problemático de las redes sociales y phubbing: el papel mediador del FoMO y la urgencia
Salguero, F. L., Hidalgo-Fuentes, S., Martínez-Álvarez, I., & González-Fernández, A. (2026) · Revista Complutense de Educación · doi:10.5209/rced.100041
Social Media Addiction and its Associated Factors Among High School Adolescents in Türkiye
Sert, S., Ünsal, A., & Can, R. (2026) · Journal of Community Health · doi:10.1007/s10900-026-01578-7
Pandey, D., & Bhavsar, A. (2026) · Studies in Rhythm Engineering · doi:10.1007/978-3-032-21704-2_13
Development and validation of a short doomscrolling scale
Kazun, A. D. (2026) · Moscow University Journalism Bulletin · doi:10.55959/msu.vestnik.journ.1.2026.335
Hu, Y., Wu, X., Gao, F., Gao, L., & Yang, H. (2026) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2026.05.027
The Motivations for Micro-Transactions Use Scale (MMUS): Development and validation
Gibson, E., Griffiths, M. D., Calado, F., & Harris, A. (2026) · Technology in Society · doi:10.1016/j.techsoc.2026.103415
Self-citationJia, L., Liu, D., Wei, X., Wu, Y., Huang, S., & Bao, Z. (2026) · Cyberpsychology Behavior and Social Networking · doi:10.1177/21522715261459130
Kim, E., Park, D.-H., Lee, J., Kim, J., Ko, S., Kim, Y., & Lee, S. Y. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2684306
Krikova, K., Kampa, M., Klein, S., Stark, R., & Klucken, T. (2026) · Behavioural Brain Research · doi:10.1016/j.bbr.2026.116341
Li, S., You, S., Huang, C., Wang, Y., Wang, Z., Shan, H., Zhao, M., & Zhong, N. (2026) · Addictive Behaviors · doi:10.1016/j.addbeh.2026.108792
Kısak, Ş., Bal, E., & Gülen, S. (2026) · Addicta The Turkish Journal on Addictions · doi:10.15805/addicta.2026.516
Chhag, H., Leon, C., Kaur, S., Balhara, Y. P. S., Kaur, R., & Sharma, R. (2026) · Indian Journal of Psychiatry · doi:10.4103/indianjpsychiatry_813_25
Aslan, S. T., Kıcıklar, S., Fırat, Z., Ekinci, G., & Hamamcı, A. (2026) · Brain Imaging and Behavior · doi:10.1007/s11682-026-01201-2
Wojciechowska, M., Mateja, M., Żaroń, A., Spevan, M., & Šegulja, S. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1932831
Gou, S., Zhang, R., Tu, S., Turel, O., Lei, X., Qiu, J., Chen, H., Feng, T., & He, Q. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.122258
Crossing the Lines: Common Pathways Linking Eating Disorders and Behavioral Addictions
Mestre‐Bach, G., Giménez-Garrido, R., García, R. R., Fernández‐Aranda, F., & Jiménez‐Múrcia, S. (2026) · Current Addiction Reports · doi:10.1007/s40429-026-00777-5
Rajbanshi, M., Thapa, S., Aryal, R., Joshi, J., Bishwokarma, B., Neupane, D., Shrestha, S. M., & Pahari, D. P. (2026) · PLOS Global Public Health · doi:10.1371/journal.pgph.0006511
Chapter 7. Impact of Internet Gaming Disorder on Children and Adolescents
Priolo, T. F., Eke-Usim, A., & Solhkhah, R. (2025) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9798894551456.lg07
Kılınç, G., Kuru, E., Ersin, N., Çelik, H., Acar, S., Ilgenli, I., & Kılınç, O. (2026) · Journal of Substance Use · doi:10.1080/14659891.2026.2749732
Böning, J. (2015) · MMW - Fortschritte der Medizin · doi:10.1007/s15006-015-2724-4
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review