The neural basis of video gaming
Open accessAbstract
Video game playing is a frequent recreational activity. Previous studies have reported an involvement of dopamine-related ventral striatum. However, structural brain correlates of video game playing have not been investigated. On magnetic resonance imaging scans of 154 14-year-olds, we computed voxel-based morphometry to explore differences between frequent and infrequent video game players. Moreover, we assessed the Monetary Incentive Delay (MID) task during functional magnetic resonance imaging and the Cambridge Gambling Task (CGT). We found higher left striatal grey matter volume when comparing frequent against infrequent video game players that was negatively correlated with deliberation time in CGT. Within the same region, we found an activity difference in MID task: frequent compared with infrequent video game players showed enhanced activity during feedback of loss compared with no loss. This activity was likewise negatively correlated with deliberation time. The association of video game playing with higher left ventral striatum volume could reflect altered reward processing and represent adaptive neural plasticity.
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Gaming increases the release of striatal dopamine, promoting long-term potentiation of neural connections within the striatum, which is suggested to improve motivation and one's ability to learn.
“Gaming increases the release of striatal dopamine [47], [48], promoting long-term potentiation of neural connections within the striatum [49], which is suggested to improve motivation and one’s ability to learn [50] (e.g., during EF training).”
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Cites
A fast diffeomorphic image registration algorithm
Ashburner, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.007 · Cited by 8,122 · see citing works
Action video game modifies visual selective attention
Green, C. S., & Bavelier, D. (2003) · Nature · doi:10.1038/nature01647 · Cited by 2,540 · see citing works
Goodman, R., Ford, T., Richards, H., Gatward, R., & Meltzer, H. (2000) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2000.tb02345.x · Cited by 1,755 · see citing works
Dissociation of reward anticipation and outcome with event-related fMRI
Knutson, B., Fong, G. W., Adams, C. M., Varner, J. L., & Hommer, D. (2001) · Neuroreport · doi:10.1097/00001756-200112040-00016 · Cited by 1,300 · see citing works
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 · see citing works
Rogers, R. (1999) · Neuropsychopharmacology · doi:10.1016/s0893-133x(98)00091-8 · Cited by 1,101 · see citing works
Can training in a real-time strategy video game attenuate cognitive decline in older adults?
Basak, C., Boot, W. R., Voss, M. W., & Kramer, A. F. (2008) · Psychology and Aging · doi:10.1037/a0013494 · Cited by 855 · see citing works
The neural basis of the speed–accuracy tradeoff
Bogacz, R., Wagenmakers, E., Forstmann, B. U., & Nieuwenhuis, S. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2009.09.002 · Cited by 721 · see citing works
The IMAGEN study: reinforcement-related behaviour in normal brain function and psychopathology
Schumann, G., Loth, E., Banaschewski, T., Barbot, A., Barker, G. J., Büchel, C., Conrod, P., Dalley, J. W., Flor, H., Gallinat, J., et al. (2010) · Molecular Psychiatry · doi:10.1038/mp.2010.4 · Cited by 618 · see citing works
Self-citationSteeves, T. D. L., Miyasaki, J., Zurowski, M., Lang, A. E., Pellecchia, G., Van Eimeren, T., Rusjan, P., Houle, S., & Strafella, A. P. (2009) · Brain · doi:10.1093/brain/awp054 · Cited by 502 · see citing works
Schott, B. H., Minuzzi, L., Krebs, R. M., Elmenhorst, D., Lang, M., Winz, O. H., Seidenbecher, C. I., Coenen, H. H., Heinze, H.-J., Zilles, K., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2058-08.2008 · Cited by 496 · see citing works
Enhancing the contrast sensitivity function through action video game training
Li, R., Polat, U., Makous, W. L., & Bavelier, D. (2009) · Nature Neuroscience · doi:10.1038/nn.2296 · Cited by 470 · see citing works
Structural and metabolic brain changes in the striatum associated with methamphetamine abuse
Chang, L., Alicata, D., Ernst, T. M., & Volkow, N. D. (2007) · Addiction · doi:10.1111/j.1360-0443.2006.01782.x · Cited by 431 · see citing works
Cortico-striatal connections predict control over speed and accuracy in perceptual decision making
Forstmann, B. U., Anwander, A., Schäfer, A., Neumann, J., Brown, S. D., Wagenmakers, E., Bogacz, R., & Turner, R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1004932107 · Cited by 368 · see citing works
Improved Probabilistic Inference as a General Learning Mechanism with Action Video Games
Green, C. S., Pouget, A., & Bavelier, D. (2010) · Current Biology · doi:10.1016/j.cub.2010.07.040 · Cited by 356 · see citing works
Personality, Addiction, Dopamine: Insights from Parkinson's Disease
Dagher, A., & Robbins, T. W. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.031 · Cited by 339 · see citing works
The Iowa Gambling Task in fMRI images
Li, X., Lu, Z., D’Argembeau, A., Ng, M., & Bechara, A. (2009) · Human Brain Mapping · doi:10.1002/hbm.20875 · Cited by 333 · see citing works
Combining voxel intensity and cluster extent with permutation test framework
Hayasaka, S., & Nichols, T. E. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.04.035 · Cited by 262 · see citing works
Gene–gene interaction associated with neural reward sensitivity
Yacubian, J., Sommer, T., Schroeder, K., Gläscher, J., Kalisch, R., Leuenberger, B., Braus, D. F., & Büchel, C. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0702029104 · Cited by 241 · see citing works
Self-citationAmygdala Volume Associated With Alcohol Abuse Relapse and Craving
Wrase, J., Makris, N., Braus, D. F., Mann, K. F., Smolka, M. N., Kennedy, D. N., Caviness, V. S., Hodge, S. M., Tang, L., Albaugh, M. D., et al. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.07121877 · Cited by 241 · see citing works
Self-citationReward feedback alterations in unmedicated schizophrenia patients: Relevance for delusions
Schlagenhauf, F., Sterzer, P., Schmack, K., Ballmaier, M., Rapp, M., Wrase, J., Juckel, G., Gallinat, J., & Heinz, A. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.12.016 · Cited by 195 · see citing works
Self-citationDevelopment of alcohol-associated cues and cue-induced brain activation in alcoholics
Wrase, J., Grüsser, S. M., Vollstädt‐Klein, S., Diener, C., Hermann, D., Flor, H., Mann, K. F., Braus, D. F., & Heinz, A. (2002) · European Psychiatry · doi:10.1016/s0924-9338(02)00676-4 · Cited by 192 · see citing works
Self-citationThe Neural Basis of Intuitive Best Next-Move Generation in Board Game Experts
Wan, X., Nakatani, H., Ueno, K., Asamizuya, T., Cheng, K., & Tanaka, K. (2011) · Science · doi:10.1126/science.1194732 · Cited by 163 · see citing works
Striatal Volume Predicts Level of Video Game Skill Acquisition
Erickson, K. I., Boot, W. R., Basak, C., Neider, M. B., Prakash, R. S., Voss, M. W., Graybiel, A. M., Simons, D. J., Fabiani, M., Gratton, G., et al. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp293 · Cited by 146 · see citing works
Quantitative Morphology of the Caudate and Putamen in Patients With Cocaine Dependence
Jacobsen, L. K., Giedd, J. N., Gottschalk, C. H., Kosten, T. R., & Krystal, J. H. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.3.486 · Cited by 140 · see citing works
Dopamine release in ventral striatum of pathological gamblers losing money
Linnet, J., Peterson, E., Doudet, D. J., Gjedde, A., & Møller, A. (2010) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2010.01591.x · Cited by 127 · see citing works
Reliabilität und Validität der Skala zum Computerspielverhalten (CSV-S)
Wölfling, K., Müller, K., & Beutel, M. (2010) · PPmP. Psychotherapie, Psychosomatik, medizinische Psychologie · doi:10.1055/s-0030-1263145 · Cited by 87 · see citing works
Catechol-O-methyltransferase val158met genotype influences neural processing of reward anticipation
Schmack, K., Schlagenhauf, F., Sterzer, P., Wrase, J., Beck, A., Dembler, T., Kalus, P., Puls, I., Sander, T., Heinz, A., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.06.019 · Cited by 67 · see citing works
Self-citationPredicting Individuals' Learning Success from Patterns of Pre-Learning MRI Activity
Vo, L. T. K., Walther, D. B., Kramer, A. F., Erickson, K. I., Boot, W. R., Voss, M. W., Prakash, R. S., Lee, H., Fabiani, M., Gratton, G., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016093 · Cited by 47 · see citing works
Kühn, S., Schmiedek, F., Schott, B. H., Ratcliff, R., Heinze, H., Düzel, E., Lindenberger, U., & Lövdén, M. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21564 · Cited by 47 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Meta-analysis of action video game impact on perceptual, attentional, and cognitive skills.
Bediou, B., Adams, D. M., Mayer, R. E., Tipton, E., Green, C. S., & Bavelier, D. (2018) · Psychological Bulletin · doi:10.1037/bul0000130 · Cited by 807 · see citing works
Virtual Reality in Stroke Rehabilitation
Saposnik, G., & Levin, M. F. (2011) · Stroke · doi:10.1161/strokeaha.110.605451 · Cited by 640 · see citing works
Brand, M., Young, K. S., & Laier, C. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00375 · Cited by 565 · see citing works
“STRUCTURAL AND RESTING-STATE NEUROIMAGING IN INTERNET ADDICTION A study on both structural and functional neural correlates of Internet/computer gaming with a large sample (N = 154) adolescents reported higher gray matter volume in left ventral striatal region in frequent/excessive compared to infrequent players (Kühn…”
BackgroundInfluentialInternet gaming disorder and the DSM ‐5
Petry, N. M., & O’Brien, C. P. (2013) · Addiction · doi:10.1111/add.12162 · Cited by 523 · see citing works
Kühn, S., Gleich, T., Lorenz, R. C., Lindenberger, U., & Gallinat, J. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.120 · Cited by 441 · see citing works
Self-citationRobbins, T. W., & Clark, L. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.09.005 · Cited by 306 · see citing works
Dovis, S., Van der Oord, S., Wiers, R. W., & Prins, P. J. M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0121651 · Cited by 272 · see citing works
Problematic involvement in online games: A cluster analytic approach
Billieux, J., Thorens, G., Khazaal, Y., ZULLINO, D. F., Achab, S., & der Linden, M. V. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.10.055 · Cited by 280 · see citing works
How Has the Internet Reshaped Human Cognition?
Loh, K. K., & Kanai, R. (2016) · The Neuroscientist · doi:10.1177/1073858415595005 · Cited by 272 · see citing works
Neuroscience of Internet Pornography Addiction: A Review and Update
Love, T., Laier, C., Brand, M., Hatch, L., & Hajela, R. (2015) · Behavioral Sciences · doi:10.3390/bs5030388 · Cited by 262 · see citing works
Enhancing Attentional Control: Lessons from Action Video Games
Bavelier, D., & Green, C. S. (2019) · Neuron · doi:10.1016/j.neuron.2019.09.031 · Cited by 268 · see citing works
New developments in brain research of internet and gaming disorder
Weinstein, A., Livny, A., & Weizman, A. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.01.040 · Cited by 257 · see citing works
Brain Structure and Functional Connectivity Associated With Pornography Consumption
Kühn, S., & Gallinat, J. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.93 · Cited by 255 · see citing works
Self-citationBrain anatomy alterations associated with social networking site (SNS) addiction
He, Q., Turel, O., & Bechara, A. (2017) · Scientific Reports · doi:10.1038/srep45064 · Cited by 200 · see citing works
Neurobiological mechanisms underlying internet gaming disorder
Weinstein, A. M., & Lejoyeux, M. (2020) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2020.22.2/aweinstein · Cited by 194 · see citing works
Activation of the ventral and dorsal striatum during cue reactivity in Internet gaming disorder
Liu, L., Yip, S. W., Zhang, J., Wang, L., Shen, Z., Liu, B., Ma, S., Yao, Y., & Fang, X. (2016) · Addiction Biology · doi:10.1111/adb.12338 · Cited by 186 · see citing works
Internet Addiction and Other Behavioral Addictions
Jorgenson, A. G., Hsiao, R. C.-J., & Yen, C. (2016) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2016.03.004 · Cited by 185 · see citing works
Vedechkina, M., & Borgonovi, F. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.611155 · Cited by 225 · see citing works
Schiebener, J., & Brand, M. (2015) · Neuropsychology Review · doi:10.1007/s11065-015-9285-x · Cited by 168 · see citing works
Striatal ups and downs: Their roles in vulnerability to addictions in humans
Leyton, M., & Vezina, P. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.01.018 · Cited by 165 · see citing works
Kühn, S., & Gallinat, J. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.100 · Cited by 165 · see citing works
Self-citationWeinstein, A. M., & Lejoyeux, M. (2013) · American Journal on Addictions · doi:10.1111/ajad.12110 · Cited by 168 · see citing works
Disordered gambling: the evolving concept of behavioral addiction
Clark, L. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12558 · Cited by 150 · see citing works
Yuan, K., Yu, D., Cai, C., Feng, D., Li, Y., Bi, Y., Liu, J., Zhang, Y., Jin, C., Li, L., et al. (2017) · Addiction Biology · doi:10.1111/adb.12348 · Cited by 153 · see citing works
Yau, Y. H. C., Crowley, M. J., Mayes, L. C., & Potenza, M. N. (2012) · PubMed · Cited by 127 · see citing works
Playing Super Mario 64 increases hippocampal grey matter in older adults
West, G. L., Zendel, B. R., Konishi, K., Benady-Chorney, J., Bohbot, V. D., Peretz, I., & Belleville, S. (2017) · PLoS ONE · doi:10.1371/journal.pone.0187779 · Cited by 124 · see citing works
A Tripartite Neurocognitive Model of Internet Gaming Disorder
Lei, W. I., Zhang, S., Turel, O., Bechara, A., & He, Q. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00285 · Cited by 117 · see citing works
Pathological choice: the neuroscience of gambling and gambling addiction
Clark, L., Averbeck, B., Payer, D., Sescousse, G., Winstanley, C. A., & Xue, G. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3231-13.2013 · Cited by 116 · see citing works
Higher volume of ventral striatum and right prefrontal cortex in pathological gambling
Koehler, S., Hasselmann, E., Wüstenberg, T., Heinz, A., & Romanczuk‐Seiferth, N. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0668-6 · Cited by 116 · see citing works
Self-citationAn Update Overview on Brain Imaging Studies of Internet Gaming Disorder
Weinstein, A. M. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00185 · Cited by 115 · see citing works
Mellecker, R. R., Lyons, E., & Baranowski, T. (2013) · Games for Health Journal · doi:10.1089/g4h.2013.0022 · Cited by 112 · see citing works
Disordered gambling: a behavioral addiction
Clark, L., & Limbrick‐Oldfield, E. H. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2013.01.004 · Cited by 108 · see citing works
He, Q., Turel, O., Brevers, D., & Bechara, A. (2017) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2017.09.003 · Cited by 109 · see citing works
YOUNG, K. S., & Brand, M. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01853 · Cited by 112 · see citing works
Gong, D., He, H., Liu, D., Ma, W., Dong, L., Luo, C., & Yao, D. (2015) · Scientific Reports · doi:10.1038/srep09763 · Cited by 106 · see citing works
Does Video Gaming Have Impacts on the Brain: Evidence from a Systematic Review
Denilson Brilliant, T., Nouchi, R., & Kawashima, R. (2019) · Brain Sciences · doi:10.3390/brainsci9100251 · Cited by 104 · see citing works
Positive Association of Video Game Playing with Left Frontal Cortical Thickness in Adolescents
Kühn, S., Lorenz, R. C., Banaschewski, T., Barker, G. J., Büchel, C., Conrod, P., Flor, H., Garavan, H., Ittermann, B., Loth, E., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0091506 · Cited by 105 · see citing works
Self-citationVideo game training and the reward system
Lorenz, R. C., Gleich, T., Gallinat, J. ⁄. R., & Kühn, S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00040 · Cited by 98 · see citing works
Self-citationCai, C., Yuan, K., Yin, J., Feng, D., Bi, Y., Li, Y., Yu, D., Jin, C., Qin, W., & Tian, J. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9358-8 · Cited by 97 · see citing works
What’s next for research on young children’s interactive media?
Troseth, G. L., Russo, C. E., & Strouse, G. A. (2016) · Journal of Children and Media · doi:10.1080/17482798.2015.1123166 · Cited by 95 · see citing works
Virtual Reality in Stroke Rehabilitation
Saposnik, G. (2015) · Springer eBooks · doi:10.1007/978-3-319-17750-2_22 · Cited by 95 · see citing works
Bohbot, V. D., Balso, D. D., Conrad, K., Konishi, K., & Leyton, M. (2013) · Hippocampus · doi:10.1002/hipo.22187 · Cited by 92 · see citing works
Is there such a thing as online video game addiction? A cross-disciplinary review
Hellman, M., Schoenmakers, T. M., Nordstrom, B. R., & van Holst, R. J. (2012) · Addiction Research & Theory · doi:10.3109/16066359.2012.693222 · Cited by 89 · see citing works
Duven, E., Müller, K. W., Beutel, M. E., & Wölfling, K. (2014) · Brain and Behavior · doi:10.1002/brb3.293 · Cited by 90 · see citing works
Impacts of technology use on children
Gottschalk, F. (2019) · OECD education working papers · doi:10.1787/8296464e-en · Cited by 115 · see citing works
Tanaka, S., Ikeda, H., Kasahara, K., Kato, R., Tsubomi, H., Sugawara, S. K., Mori, M., Hanakawa, T., Sadato, N., Honda, M., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066998 · Cited by 81 · see citing works
Vadlin, S., Åslund, C., & Nilsson, K. W. (2015) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12196 · Cited by 73 · see citing works
West, G. L., Drisdelle, B. L., Konishi, K., Jackson, J., Jolicoeur, P., & Bohbot, V. D. (2015) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2014.2952 · Cited by 70 · see citing works
Shams, T. A., Foussias, G., Zawadzki, J. A., Marshe, V. S., Siddiqui, I., Müller, D. J., & Wong, A. H. C. (2015) · Current Psychiatry Reports · doi:10.1007/s11920-015-0609-6 · Cited by 68 · see citing works
Li, W., Li, Y., Yang, W., Zhang, Q., Wei, D., Li, W., Hitchman, G., & Qiu, J. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.02.019 · Cited by 69 · see citing works
Problematic Internet use, mental health and impulse control in an online survey of adults
Yau, Y. H. C., Potenza, M. N., & White, M. A. (2012) · Journal of Behavioral Addictions · doi:10.1556/jba.1.2012.015 · Cited by 70 · see citing works
Impaired Decisional Impulsivity in Pathological Videogamers
Irvine, M. A., Worbe, Y., Bolton, S., Harrison, N., Bullmore, E., & Voon, V. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075914 · Cited by 64 · see citing works
Pasquale, C. D., Sciacca, F., Martinelli, V., Chiappedi, M., Dinaro, C., & Hichy, Z. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17218201 · Cited by 62 · see citing works
Gamified Neurorehabilitation Strategies for Post-stroke Motor Recovery: Challenges and Advantages
Tosto-Mancuso, J. M., TABACOF, L. R., Herrera, J. E., Breyman, E., Dewil, S., Cortes, M., Correa-esnard, L., Kellner, C. P., Dangayach, N. S., & Putrino, D. F. (2022) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-022-01181-y · Cited by 72 · see citing works
Video gaming in school children: How much is enough?
Pujol, J., Fenoll, R., Forns, J., Harrison, B. J., Martínez‐Vilavella, G., Macià, D., Alvarez‐Pedrerol, M., Blanco‐Hinojo, L., González‐Ortiz, S., Deus, J., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24745 · Cited by 62 · see citing works
D’Hondt, F., Billieux, J., & Maurage, P. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.10.005 · Cited by 64 · see citing works
Rehabilitative devices for a top-down approach
Morone, G., Spitoni, G. F., Bartolo, D. D., Ghooshchy, S. G., Iulio, F. D., Paolucci, S., Zoccolotti, P., & Iosa, M. (2019) · Expert Review of Medical Devices · doi:10.1080/17434440.2019.1574567 · Cited by 61 · see citing works
A Serious Game Can Be a Valid Method to Train Clinical Decision‐Making in Surgery
Graafland, M., Vollebergh, M. F., Lagarde, S. M., van Haperen, M., Bemelman, W. A., & Schijven, M. P. (2014) · World Journal of Surgery · doi:10.1007/s00268-014-2743-4 · Cited by 56 · see citing works
Leménager, T., Dieter, J., Hill, H., Hoffmann, S., Reinhard, I., Beutel, M., Vollstädt-Klein, S., Kiefer, F., & Mann, K. (2016) · Journal of Behavioral Addictions · doi:10.1556/2006.5.2016.048 · Cited by 55 · see citing works
Self-citationElectronic media use and academic performance in late childhood: A longitudinal study
Mundy, L. K., Canterford, L., Hoq, M., Olds, T., Moreno-Betancur, M., Sawyer, S., Kosola, S., & Patton, G. C. (2020) · PLOS ONE · doi:10.1371/journal.pone.0237908 · Cited by 54 · see citing works
Nagy, M. R., O’Sullivan, M. P., Block, S. S., Tooley, T. R., Robinson, L. E., Colabianchi, N., & Hasson, R. E. (2017) · Journal of Physical Activity and Health · doi:10.1123/jpah.2016-0552 · Cited by 54 · see citing works
Is video game addiction really an addiction?
Zastrow, M. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1705077114 · Cited by 53 · see citing works
Gleich, T., Lorenz, R. C., Gallinat, J., & Kühn, S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.032 · Cited by 50 · see citing works
Self-citationComparison of frontostriatal circuits in adolescent nicotine addiction and internet gaming disorder
von Deneen, K. M., Hussain, H., Waheed, J., Xinwen, W., Yu, D., & Yuan, K. (2022) · Journal of Behavioral Addictions · doi:10.1556/2006.2021.00086 · Cited by 51 · see citing works
Alho, K., Moisala, M., & Salmela‐Aro, K. (2022) · European Psychologist · doi:10.1027/1016-9040/a000477 · Cited by 57 · see citing works
Ferguson, C. J., & Ceranoglu, T. A. (2013) · Psychiatric Quarterly · doi:10.1007/s11126-013-9276-0 · Cited by 53 · see citing works
Kühn, S., Schmiedek, F., Schott, B. H., Ratcliff, R., Heinze, H., Düzel, E., Lindenberger, U., & Lövdén, M. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21564 · Cited by 47 · see citing works
Self-citationHarrington, C. M., Chaitanya, V., Dicker, P., Traynor, O. J., & Kavanagh, D. O. (2018) · Surgical Endoscopy · doi:10.1007/s00464-018-6107-2 · Cited by 46 · see citing works
Seok, J., & Sohn, J. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00077 · Cited by 45 · see citing works
Gao, X., Pan, W., Li, C., Weng, L., Yao, M., & Chen, A. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00650 · Cited by 44 · see citing works
Chen, Y., Yim, H., & Lee, T. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101218 · Cited by 44 · see citing works
Symptoms, Mechanisms, and Treatments of Video Game Addiction
Mohammad, S., Jan, R. A., & Alsaedi, S. L. (2023) · Cureus · doi:10.7759/cureus.36957 · Cited by 44 · see citing works
Brain Structures Associated with Internet Addiction Tendency in Adolescent Online Game Players
Pan, N., Yang, Y., Du, X., Qi, X., Du, G., Zhang, Y., Li, X., & Zhang, Q. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00067 · Cited by 44 · see citing works
Vadlin, S., Åslund, C., & Nilsson, K. W. (2018) · Brain and Behavior · doi:10.1002/brb3.949 · Cited by 44 · see citing works
Hahn, T., Notebaert, K. H., Dresler, T., Kowarsch, L., Reif, A., & Fallgatter, A. J. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00385 · Cited by 44 · see citing works
van Endert, T. S., & Mohr, P. N. C. (2020) · PLoS ONE · doi:10.1371/journal.pone.0241383 · Cited by 44 · see citing works
Higher integrity of the motor and visual pathways in long-term video game players
Zhang, Y., Du, G., Yang, Y., Qin, W., Li, X., & Zhang, Q. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00098 · Cited by 41 · see citing works
The Association Between Electronic Media and Emotional and Behavioral Problems in Late Childhood
Mundy, L. K., Canterford, L., Olds, T., Allen, N. B., & Patton, G. C. (2017) · Academic Pediatrics · doi:10.1016/j.acap.2016.12.014 · Cited by 36 · see citing works
Improving Abnormality Detection on Chest Radiography Using Game-Like Reinforcement Mechanics
Chen, P., Roth, H., Galperin-Aizenberg, M., Ruutiainen, A. T., Gefter, W. B., & Cook, T. S. (2017) · Academic Radiology · doi:10.1016/j.acra.2017.05.005 · Cited by 36 · see citing works
Dong, G., Wu, L., Wang, Z., Wang, Y., Du, X., & Potenza, M. N. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.01.030 · Cited by 37 · see citing works
Suenderhauf, C., Walter, A., Lenz, C., Lang, U. E., & Borgwardt, S. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.03.018 · Cited by 34 · see citing works
Business Simulation Games Analysis Supported by Human-Computer Interfaces: A Systematic Review
Ferreira, C. P., González, C. S. G., & Adamatti, D. F. (2021) · Sensors · doi:10.3390/s21144810 · Cited by 29 · see citing works
Structural brain changes in young males addicted to video-gaming
Mohammadi, B., Szycik, G. R., Wildt, B. T. T., Heldmann, M., Samii, A., & Münte, T. F. (2020) · Brain and Cognition · doi:10.1016/j.bandc.2020.105518 · Cited by 32 · see citing works
Tomasi, D. G., Wang, G., Studentsova, Y., & Volkow, N. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu269 · Cited by 27 · see citing works
Neurobiological processes during the Cambridge gambling task
Yazdi, K., Rumetshofer, T., Gnauer, M., Csillag, D., Rosenleitner, J., & Kleiser, R. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.08.017 · Cited by 27 · see citing works
Brain Imaging in Gambling Disorder
Quester, S., & Romanczuk‐Seiferth, N. (2015) · Current Addiction Reports · doi:10.1007/s40429-015-0063-x · Cited by 27 · see citing works
Piszczek, M. M., Pichler, S. M., Turel, O., & Greenhaus, J. H. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.02009 · Cited by 30 · see citing works
Richlan, F., Schubert, J., Mayer, R., Hutzler, F., & Kronbichler, M. (2017) · Brain and Behavior · doi:10.1002/brb3.877 · Cited by 26 · see citing works
iPad Technology for Home Rehabilitation after Stroke (iHOME): A Proof-of-Concept Randomized Trial
Saposnik, G., Chow, C.-M., Gladstone, D. J., Cheung, D., Brawer, E., Thorpe, K. E., Saldanha, A., Dang, A., Bayley, M. T., & Schweizer, T. A. (2014) · International Journal of Stroke · doi:10.1111/ijs.12328 · Cited by 26 · see citing works
Schmidt, A., Vogel, M., Baumgartner, S., Wiesbeck, G. A., Lang, U. E., Borgwardt, S., & Walter, M. (2020) · Addiction Biology · doi:10.1111/adb.12970 · Cited by 23 · see citing works
Communication Neuroscience: Theory, Methodology and Experimental Approaches
Schmälzle, R., & Meshi, D. (2020) · Communication Methods and Measures · doi:10.1080/19312458.2019.1708283 · Cited by 23 · see citing works
Biochemical Correlates of Video Game Use: From Physiology to Pathology. A Narrative Review
Carpita, B., Muti, D., Nardi, B., Benedetti, F., Cappelli, A., Cremone, I., Carmassi, C., & Dell'Osso, L. (2021) · Life · doi:10.3390/life11080775 · Cited by 19 · see citing works
Weinstein, A. M., & Lejoyeux, M. (2013) · American Journal on Addictions · doi:10.1111/j.1521-0391.2013.12110.x · Cited by 18 · see citing works
Hilla, Y., von Mankowski, J., Föcker, J., & Sauseng, P. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.599788 · Cited by 17 · see citing works
Li, H., Turel, O., & He, Q. (2023) · Current Addiction Reports · doi:10.1007/s40429-023-00481-8 · Cited by 18 · see citing works
Low-grade inflammation disrupts structural plasticity in the human brain
Szabó, C., Kelemen, O., & Kéri, S. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.06.002 · Cited by 18 · see citing works
Virtually addicted: why general practice must now confront screen dependency
Sigman, A. (2014) · British Journal of General Practice · doi:10.3399/bjgp14x682597 · Cited by 18 · see citing works
Mestre‐Bach, G., & Potenza, M. N. (2023) · Nutrients · doi:10.3390/nu15040827 · Cited by 18 · see citing works
Yau, Y. H. C., & Potenza, M. N. (2014) · Psychiatric Annals · doi:10.3928/00485713-20140806-05 · Cited by 15 · see citing works
Policy on unreliable game addiction diagnoses puts the cart before the horse.
Ferguson, C. J., Bean, A. M., Nielsen, R. K. L., & Smyth, M. P. (2019) · Psychology of Popular Media · doi:10.1037/ppm0000249 · Cited by 15 · see citing works
- Authors
- Kühn, S., Romanowski, A., Schilling, C., Lorenz, R., Mörsen, C., Seiferth, N., Banaschewski, T., Barbot, A., Barker, G. J., Büchel, C., Conrod, P. J., Dalley, J. W., Flor, H., Garavan, H., Ittermann, B., Mann, K., Martinot, J.-L., Paus, T., Rietschel, M., Smolka, M. N., Ströhle, A., Walaszek, B., Schumann, G., Heinz, A., Gallinat, J., & The IMAGEN Consortium
- Affiliations
- Ghent University (BE)
- St. Hedwig-Krankenhaus (DE)
- Central Institute of Mental Health (DE)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- King's College London (GB)
- University Medical Center Hamburg-Eppendorf (DE)
- University of Cambridge (GB)
- Trinity College Dublin (IE)
- Physikalisch-Technische Bundesanstalt (DE)
- Université Paris-Sud (FR)
- Montreal Neurological Institute and Hospital (CA)
- Neuroimaging Center (DE)
- Corresponding author
- Kühn, S
- ORCID
- Venue
- Translational Psychiatry
- Published
- 2011-11-15
- Volume
- 1
- Issue
- 11
- Pages
- e53-e53
- ISSN
- 2158-3188 (ISSN-L)
- PMC
- PMC3309473
- OpenAlex
- W2169138276
- Cited by
- 201
- References
- 30
- Citations by year
- 2026: 9 · 2025: 12 · 2024: 16 · 2023: 7 · 2022: 11 · 2021: 9 · 2020: 12 · 2019: 16 · 2018: 7 · 2017: 24 · 2016: 12 · 2015: 18 · 2014: 25 · 2013: 15 · 2012: 5
- FWCI
- 7.64
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-nd
- www.springer.com/tdm (unspecified)
- Locations
- Translational Psychiatry (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, cc-by-nc-nd)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- National Institute for Health and Care Research
- Medical Research Council (LSHM-CT-2007-037286)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
- Keywords
- video gaming, ventral striatum, gambling behavior, deliberation time, reward processing, neuroplasticity, adolescents, monetary incentive delay task, Cambridge Gambling Task
- MeSH terms
- Adolescent, Basal Ganglia, Brain, Female, Gambling, Humans, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Nucleus Accumbens, Reward, Time Factors, Video Games
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