Abstract
Internet gaming disorder (IGD), identified in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-V) Section III as a condition warranting more clinical research, may be associated with impaired cognitive control. Previous IGD-related studies had revealed structural abnormalities in the prefrontal cortex, an important part of prefrontal-striatal circuits, which play critical roles in cognitive control. However, little is known about the relationship between the striatal nuclei (caudate, putamen, and nucleus accumbens) volumes and cognitive control deficit in individuals with IGD. Twenty-seven adolescents with IGD and 30 age-, gender- and education-matched healthy controls participated in this study. The volume differences of the striatum were assessed by measuring subcortical volume in FreeSurfer. Meanwhile, the Stroop task was used to detect cognitive control deficits. Correlation analysis was used to investigate the relationship between striatal volumes and performance in the Stroop task as well as severity in IGD. Relative to controls, the IGD committed more incongruent condition response errors during the Stroop task and showed increased volumes of dorsal striatum (caudate) and ventral striatum (nucleus accumbens). In addition, caudate volume was correlated with Stroop task performance and nucleus accumbens (NAc) volume was associated with the internet addiction test (IAT) score in the IGD group. The increased volumes of the right caudate and NAc and their association with behavioral characteristics (i.e., cognitive control and severity) in IGD were detected in the present study. Our findings suggest that the striatum may be implicated in the underlying pathophysiology of IGD.
Similar content being viewed by others
References
Apicella, P., Ljungberg, T., Scarnati, E., & Schultz, W. (1991). Responses to reward in monkey dorsal and ventral striatum. Experimental Brain Research, 85(3), 491–500.
Apicella, P., Scarnati, E., Ljungberg, T., & Schultz, W. (1992). Neuronal activity in monkey striatum related to the expectation of predictable environmental events. Journal of Neurophysiology, 68, 945.
Bari, A., Dec, A., Lee, A., Lee, J., Song, D., Dale, E., et al. (2014). Enhanced inhibitory control by neuropeptide Y Y5 receptor blockade in rats. Psychopharmacology, 1–15.
Bavelier, D., Green, C. S., Han, D. H., Renshaw, P. F., Merzenich, M. M., & Gentile, D. A. (2011). Brains on video games. Nature Reviews Neuroscience, 12(12), 763–768.
Berman, S., O’Neill, J., Fears, S., Bartzokis, G., & London, E. D. (2008). Abuse of amphetamines and structural abnormalities in the brain. Annals of the New York Academy of Sciences, 1141(1), 195–220.
Block, J. (2008). Issues for DSM-V: internet addiction. American Journal of Psychiatry, 165(3), 306–307.
Brand, M., Young, K. S., & Laier, C. (2014). Prefrontal control and Internet addiction: A theoretical model and review of neuropsychological and neuroimaging findings. Frontiers in human neuroscience, 8.
Byun, S., Ruffini, C., Mills, J. E., Douglas, A. C., Niang, M., Stepchenkova, S., et al. (2009). Internet addiction: metasynthesis of 1996–2006 quantitative research. Cyber Psychology & Behavior, 12(2), 203–207.
Casey, B., & Jones, R. M. (2010). Neurobiology of the adolescent brain and behavior: implications for substance use disorders. Journal of the American Academy of Child & Adolescent Psychiatry, 49(12), 1189–1201.
Christakis, D. A. (2010). Internet addiction: a 21st century epidemic? BMC Medicine, 8(1), 61.
Dale, A. M., Fischl, B., & Sereno, M. I. (1999). Cortical surface-based analysis: I. Segmentation and surface reconstruction. NeuroImage, 9(2), 179–194.
Delgado, M. R. (2007). Reward‐related responses in the human striatum. Annals of the New York Academy of Sciences, 1104(1), 70–88.
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., et al. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage, 31(3), 968–980.
Dong, G., Zhou, H., & Zhao, X. (2011). Male internet addicts show impaired executive control ability: evidence from a color-word stroop task. Neuroscience Letters, 499(2), 114–118.
Dong, G., Hu, Y., Lin, X., & Lu, Q. (2013). What makes internet addicts continue playing online even when faced by severe negative consequences? Possible explanations from an fMRI study. Biological Psychology, 94(2), 282–289.
Flisher, C. (2010). Getting plugged in: an overview of internet addiction. Journal of Paediatrics and Child Health, 46(10), 557–559.
Hasin, D. S., O’Brien, C. P., Auriacombe, M., Borges, G., Bucholz, K., Budney, A., et al. (2013). DSM-5 criteria for substance use disorders: recommendations and rationale. American Journal of Psychiatry, 170(8), 834–851.
Holden, C. (2001). ‘Behavioral’addictions: do they exist? Science, 294(5544), 980–982.
Howell, N. A., Worbe, Y., Lange, I., Tait, R., Irvine, M., Banca, P., et al. (2013). Increased ventral striatal volume in college-aged binge drinkers. PloS One, 8(9), e74164.
Janes, A. C., Park, M. T. M., Farmer, S., & Chakravarty, M. M. (2014). Striatal Morphology is Associated with Tobacco Cigarette Craving. Neuropsychopharmacology.
Kim, K., Ryu, E., Chon, M.-Y., Yeun, E.-J., Choi, S.-Y., Seo, J.-S., et al. (2006). Internet addiction in Korean adolescents and its relation to depression and suicidal ideation: a questionnaire survey. International Journal of Nursing Studies, 43(2), 185���192.
Kim, S. H., Baik, S.-H., Park, C. S., Kim, S. J., Choi, S. W., & Kim, S. E. (2011). Reduced striatal dopamine D2 receptors in people with Internet addiction. NeuroReport, 22(8), 407.
Ko, C.-H., Liu, G.-C., Hsiao, S., Yen, J.-Y., Yang, M.-J., Lin, W.-C., et al. (2009). Brain activities associated with gaming urge of online gaming addiction. Journal of Psychiatric Research, 43(7), 739–747.
Ko, C.-H., Liu, G.-C., Yen, J.-Y., Yen, C.-F., Chen, C.-S., & Lin, W.-C. (2013a). The brain activations for both cue-induced gaming urge and smoking craving among subjects comorbid with Internet gaming addiction and nicotine dependence. Journal of Psychiatric Research, 47(4), 486–493.
Ko, C. H., Liu, G. C., Yen, J. Y., Chen, C. Y., Yen, C. F., & Chen, C. S. (2013b). Brain correlates of craving for online gaming under cue exposure in subjects with Internet gaming addiction and in remitted subjects. Addiction Biology, 18(3), 559–569.
Ko, C.-H., Hsieh, T.-J., Chen, C.-Y., Yen, C.-F., Chen, C.-S., Yen, J.-Y., et al. (2014). Altered brain activation during response inhibition and error processing in subjects with Internet gaming disorder: a functional magnetic imaging study. European archives of psychiatry and clinical neuroscience, 1–12.
Koehler, S., Hasselmann, E., Wüstenberg, T., Heinz, A., & Romanczuk-Seiferth, N. (2013). Higher volume of ventral striatum and right prefrontal cortex in pathological gambling. Brain Structure and Function, 1–9.
Koepp, M. J., Gunn, R. N., Lawrence, A. D., Cunningham, V. J., Dagher, A., Jones, T., et al. (1998). Evidence for striatal dopamine release during a video game. Nature, 393(6682), 266–268.
Kucinski, A., Paolone, G., Bradshaw, M., Albin, R. L., & Sarter, M. (2013). Modeling fall propensity in Parkinson’s disease: deficits in the attentional control of complex movements in rats with cortical-cholinergic and striatal–dopaminergic deafferentation. The Journal of Neuroscience, 33(42), 16522–16539.
Kühn, S., & Gallinat, J. (2014). Brains online: structural and functional correlates of habitual Internet use. Addiction biology.
Kühn, S., Romanowski, A., Schilling, C., Lorenz, R., Mörsen, C., Seiferth, N., et al. (2011). The neural basis of video gaming. Translational Psychiatry, 1(11), e53.
Li, B., Friston, K. J., Liu, J., Liu, Y., Zhang, G., Cao, F., et al. (2014). Impaired Frontal-Basal Ganglia Connectivity in Adolescents with Internet Addiction. Scientific reports, 4.
Meng, Y., Deng, W., Wang, H., Guo, W., & Li, T. (2014). The prefrontal dysfunction in individuals with Internet gaming disorder: a meta‐analysis of functional magnetic resonance imaging studies. Addiction Biology.
Morein-Zamir, S., & Robbins, T. W. (2014). Fronto-striatal circuits in response-inhibition: Relevance to addiction. Brain research.
Nelson, C., Sarter, M., & Bruno, J. (2005). Prefrontal cortical modulation of acetylcholine release in posterior parietal cortex. Neuroscience, 132(2), 347–359.
Park, H. S., Kim, S. H., Bang, S. A., Yoon, E. J., Cho, S. S., & Kim, S. E. (2010). Altered regional cerebral glucose metabolism in internet game overusers: a 18F-fluorodeoxyglucose positron emission tomography study. CNS Spectrums, 15(3), 159–166.
Pawlikowski, M., & Brand, M. (2011). Excessive Internet gaming and decision making: do excessive World of Warcraft players have problems in decision making under risky conditions? Psychiatry Research, 188(3), 428–433.
Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643.
Volkow, N. D., Wang, G.-J., Fowler, J. S., Tomasi, D., & Telang, F. (2011). Addiction: beyond dopamine reward circuitry. Proceedings of the National Academy of Sciences, 108(37), 15037–15042.
Weinstein, A., & Lejoyeux, M. (2013). New developments on the neurobiological and pharmaco‐genetic mechanisms underlying internet and videogame addiction. The American Journal on Addictions.
Weng, C.-B., Qian, R.-B., Fu, X.-M., Lin, B., Han, X.-P., Niu, C.-S., et al. (2013). Gray matter and white matter abnormalities in online game addiction. European Journal of Radiology, 82(8), 1308–1312.
Widyanto, L., & McMurran, M. (2004). The psychometric properties of the internet addiction test. Cyber Psychology & Behavior, 7(4), 443–450.
Winkler, A., Dörsing, B., Rief, W., Shen, Y., & Glombiewski, J. A. (2013). Treatment of internet addiction: a meta-analysis. Clinical Psychology Review, 33(2), 317–329.
Wrase, J., Makris, N., Braus, D., Mann, K., Smolka, M., Kennedy, D., et al. (2008). Amygdala volume associated with alcohol abuse relapse and craving. American Journal of Psychiatry, 165(9), 1179–1184.
Xing, L., Yuan, K., Bi, Y., Yin, J., Cai, C., Feng, D., et al. (2014). Reduced fiber integrity and cognitive control in adolescents with internet gaming disorder. Brain research.
Xu, J., Mendrek, A., Cohen, M. S., Monterosso, J., Simon, S., Jarvik, M., et al. (2006). Effect of cigarette smoking on prefrontal cortical function in nondeprived smokers performing the Stroop Task. Neuropsychopharmacology, 32(6), 1421–1428.
Yuan, K., Qin, W., Liu, Y., & Tian, J. (2011a). Internet addiction: neuroimaging findings. Communicative & Integrative Biology, 4(6), 637.
Yuan, K., Qin, W., Wang, G., Zeng, F., Zhao, L., Yang, X., et al. (2011b). Microstructure abnormalities in adolescents with internet addiction disorder. PloS One, 6(6), e20708.
Yuan, K., Cheng, P., Dong, T., Bi, Y., Xing, L., Yu, D., et al. (2013a). Cortical thickness abnormalities in late adolescence with online gaming addiction. PloS One, 8(1), e53055.
Yuan, K., Jin, C., Cheng, P., Yang, X., Dong, T., Bi, Y., et al. (2013b). Amplitude of low frequency fluctuation abnormalities in adolescents with online gaming addiction. PloS One, 8(11), e78708.
Acknowledgments
This paper is supported by the Project for the National Key Basic Research and Development Program (973) under Grant nos. 2014CB543203, 2011CB707700, 2012CB518501, the National Natural Science Foundation of China under Grant nos. 81401478, 81401488, 81227901, 81271644, 81271546, 81101036, 81101108, 31200837, 81301281, the Natural Science Basic Research Plan in Shaanxi Province of China under Grant no. 2014JQ4118, and the Fundamental Research Funds for the Central Universities under the Grant nos. 8002–72125760, 8002–72135767, 8002–72145760, the Natural Science Foundation of Inner Mongolia under Grant no. 2012MS0908. General Financial Grant the China Post- doctoral Science Foundation under Grant no. 2014 M552416.
Competing Interests
Chenxi Cai, Kai Yuan, Junsen Yin, Dan Feng, Yanzhi Bi, Yangding Li, Dahua Yu, Chenwang Jin, Wei Qin and Jie Tian declare that they have no conflict of interest.
Author information
Authors and Affiliations
Corresponding authors
Rights and permissions
About this article
Cite this article
Cai, C., Yuan, K., Yin, J. et al. Striatum morphometry is associated with cognitive control deficits and symptom severity in internet gaming disorder. Brain Imaging and Behavior 10, 12–20 (2016). https://doi.org/10.1007/s11682-015-9358-8
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11682-015-9358-8