The Comorbidity Between Internet Gaming Disorder and Depression: Interrelationship and Neural Mechanisms

Lu Liu, Yuan-Wei Yao, Chiang-Shan R Li, Jin-Tao Zhang, Cui-Cui Xia, Jing Lan, Shan-Shan Ma, Nan Zhou, Xiao-Yi Fang, Lu Liu, Yuan-Wei Yao, Chiang-Shan R Li, Jin-Tao Zhang, Cui-Cui Xia, Jing Lan, Shan-Shan Ma, Nan Zhou, Xiao-Yi Fang

Abstract

Internet gaming disorder (IGD) is characterized by cognitive and emotional deficits. Previous studies have reported the co-occurrence of IGD and depression. However, extant brain imaging research has largely focused on cognitive deficits in IGD. Few studies have addressed the comorbidity between IGD and depression symptoms and underlying neural mechanisms. Here, we systematically investigated this issue by combining a longitudinal survey study, a cross-sectional resting-state functional connectivity (rsFC) study and an intervention study. Autoregressive cross-lagged modeling on a longitudinal dataset of college students showed that IGD severity and depression are reciprocally predictive. At the neural level, individuals with IGD exhibited enhanced rsFC between the left amygdala and right dorsolateral prefrontal cortex (DLPFC), inferior frontal and precentral gyrus, compared with control participants, and the amygdala-frontoparietal connectivity at the baseline negatively predicted reduction in depression symptoms following a psychotherapy intervention. Further, following the intervention, individuals with IGD showed decreased connectivity between the left amygdala and left middle frontal and precentral gyrus, as compared with the non-intervention group. These findings together suggest that IGD may be closely associated with depression; aberrant rsFC between emotion and executive control networks may underlie depression and represent a therapeutic target in individuals with IGD. Registry name: The behavioral and brain mechanism of IGD; URL: https://www.clinicaltrials.gov/ct2/show/NCT02550405; Registration number: NCT02550405.

Keywords: amygdala; depression; fMRI; internet gaming disorder; resting-state functional connectivity; subgenual anterior cingulate cortex.

Figures

Figure 1
Figure 1
The cross-lagged regression analysis. We indicate the metric invariance, configural invariance, and invariance of error covariance across time using letters on the paths. The numbers are standardized path coefficients (*P < 0.05; ***P < 0.001).
Figure 2
Figure 2
Resting-state functional connectivity in IGD and HC subjects (A) and association with depression in IGD group (B).
Figure 3
Figure 3
Results in study 3. Comparisons of the rsFC changes ([rsFC at the second scanning]–[rsFC at baseline]) between the CBI+ and CBI− groups over the left amygdala with MFG, precentral gyrus and SFG (A); Negative association between the FC of left amygdala and right DLPFC at baseline with changed score of depression in the CBI+ group (B); Scatterplot is shown of correlation between changed score of BDI and beta values for cluster surviving in baseline rsFC of amygdala-DLPFC (C).

References

    1. Chamberlain SR, Lochner C, Stein DJ, Goudriaan AE, van Holst RJ, Zohar J, et al. . Behavioural addiction-A rising tide? Eur Neuropsychopharmacol (2016) 26:841–55. 10.1016/j.euroneuro.2015.08.013
    1. American, Psychiatric Association Diagnostic and Statistical Manual of Mental Disorders, 5th Edn. Arlington, VA: American Psychiatric Association; (2013).
    1. Insel T, Cuthbert B, Garvey M, Heinssen R, Pine DS, Quinn K, et al. . Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders. Am J Psychiatry (2010) 167:748–51. 10.1176/appi.ajp.2010.09091379
    1. Lin X, Zhou H, Dong G, Du X. Impaired risk evaluation in people with Internet gaming disorder: fMRI evidence from a probability discounting task. Prog Neuropsychopharmacol Biol Psychiatry (2015) 56:142–8. 10.1016/j.pnpbp.2014.08.016
    1. Liu L, Yip SW, Zhang JT, Wang LJ, Shen ZJ, Liu B, et al. . Activation of the ventral and dorsal striatum during cue reactivity in Internet gaming disorder. Addict Biol. (2017) 22:791–801. 10.1111/adb.12338
    1. Kaess M, Durkee T, Brunner R, Carli V, Parzer P, Wasserman C, et al. . Pathological Internet use among European adolescents: psychopathology and self-destructive behaviours. Eur Child Adolesc Psychiatry (2014) 23:1093–102. 10.1007/s00787-014-0562-7
    1. Ho RC, Zhang MW, Tsang TY, Toh AH, Pan F, Lu Y, et al. The association between internet addiction and psychiatric co-morbidity: a meta-analysis. BMC Psychiatry (2014) 14:183 10.1186/1471-244X-14-183
    1. King DL, Delfabbro PH. The cognitive psychopathology of Internet gaming disorder in adolescence. J Abnorm Child Psychol. (2016) 44:1635–45. 10.1007/s10802-016-0135-y
    1. Lin PC, Su CH, Yen JY, Ko CH. The association between comorbid psychiatric symptoms and remission of internet gaming disorder among college students and non-student adults. Taiwanese J Psychiatry (2016) 30:279–88. 10.1016/j.eurpsy.2010.04.011
    1. Stetina BU, Kothgassner OD, Lehenbauer M, Kryspin-Exner I. Beyond the fascination of online-games: probing addictive behavior and depression in the world of online-gaming. Comp Hum Behav (2011) 27:473–9. 10.1016/j.chb.2010.09.015
    1. Gentile DA, Choo H, Liau A, Sim T, Li D, Fung D, et al. . Pathological video game use among youths: a two-year longitudinal study. Pediatrics (2011). 127:319–27. 10.1542/peds.2010-1353
    1. Young KS, Rogers RC. The relationship between depression and Internet addiction. CyberPsychol Behav. (1998) 1:25–8. 10.1089/cpb.1998.1.25
    1. Sutherland MT, McHugh MJ, Pariyadath V, Stein EA. Resting state functional connectivity in addiction: lessons learned and a road ahead. Neuroimage (2012) 62:2281–95. 10.1016/j.neuroimage.2012.01.117
    1. Zhang S, Li CSR. A neural measure of behavioral engagement: task-residual low-frequency blood oxygenation level-dependent activity in the precuneus. Neuroimage (2010) 49:1911–8. 10.1016/j.neuroimage.2009.09.004
    1. Connolly CG, Wu J, Ho TC, Hoeft F, Wolkowitz O, Eisendrath S, et al. . Resting-state functional connectivity of subgenual anterior cingulate cortex in depressed adolescents. Biol Psychiatry (2013) 74:898–907. 10.1016/j.biopsych.2013.05.036
    1. Zhang JT, Yao YW, Li CSR, Zang YF, Shen ZJ, Liu L, et al. Altered resting-state functional connectivity of the insula in young adults with Internet gaming disorder. Addict Biol. (2016a) 21:743–51. 10.1111/adb.12247
    1. Adolphs R, Tranel D, Damasio H, Damasio A. Impaired recognition of emotion in facial expressions following bilateral damage to the human amygdala. Nature (1994) 372:669–72. 10.1038/372669a0
    1. Gottfried JA, O'Doherty J, Dolan RJ. Encoding predictive reward value in human amygdala and orbitofrontal cortex. Science (2003) 301:1104–7. 10.1126/science.1087919
    1. Phelps EA, LeDoux JE. Contributions of the amygdala to emotion processing: from animal models to human behavior. Neuron (2005) 48:175–87. 10.1016/j.neuron.2005.09.025
    1. Zhang S, Hu S, Chao HH, Ide JS, Luo X, Farr OM, et al. . Ventromedial prefrontal cortex and the regulation of physiological arousal. Soc Cogn Affect Neurosci. (2013) 9:900–8. 10.1093/scan/nst064
    1. Zhang S, Hu S, Chao HH, Luo X, Farr OM, Li CSR. Cerebral correlates of skin conductance responses in a cognitive task. Neuroimage (2012) 62:1489–98. 10.1016/j.neuroimage.2012.05.036
    1. Kaiser RH, Andrews-Hanna JR, Wager TD, Pizzagalli DA. Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity. JAMA Psychiatry (2015) 72:603–11. 10.1001/jamapsychiatry.2015.0071
    1. Tahmasian M, Knight DC, Manoliu A, Schwerthöffer D, Scherr M, Meng C, et al. . Aberrant intrinsic connectivity of hippocampus and amygdala overlap in the fronto-insular and dorsomedial-prefrontal cortex in major depressive disorder. Front Hum Neurosci. (2013) 7:639. 10.3389/fnhum.2013.00639
    1. Tang Y, Kong L, Wu F, Womer F, Jiang W, Cao Y, et al. . Decreased functional connectivity between the amygdala and the left ventral prefrontal cortex in treatment-naive patients with major depressive disorder: a resting-state functional magnetic resonance imaging study. Psychol Med. (2013) 43:1921–7. 10.1017/S0033291712002759
    1. Ko CH, Hsieh TJ, Wang PW, Lin WC, Yen CF, Chen CS, et al. . Altered gray matter density and disrupted functional connectivity of the amygdala in adults with Internet gaming disorder. Prog Neuropsychopharmacol Biol Psychiatry (2015) 57:185–92. 10.1016/j.pnpbp.2014.11.003
    1. Huebl J, Brücke C, Merkl A, Bajbouj M, Schneider GH, Kühn AA. Processing of emotional stimuli is reflected by modulations of beta band activity in the subgenual anterior cingulate cortex in patients with treatment resistant depression. Soc. Cogn Affect Neurosci. (2016) 11:1290–8. 10.1093/scan/nsw038
    1. Kong L, Chen K, Womer F, Ren L, Jiang W, Cao Y, et al. . Functional connectivity between the amygdala and prefrontal cortex in medication-naive individuals with major depressive disorder. J Psychiatry Neurosci. (2013) 38:417–22. 10.1503/jpn.120117
    1. Hamilton JP, Chen G, Thomason ME, Schwartz ME, Gotlib IH. Investigating neural primacy in major depressive disorder: multivariate granger causality analysis of resting-state fmri time-series data. Mol Psychiatry (2011) 16:763–72. 10.1038/mp.2010.46
    1. Sheline YI, Price JL, Yan Z, Mintun MA. Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus. Proc Natl Acad Sci USA (2010) 107:11020–5. 10.1073/pnas.1000446107
    1. Camchong J, MacDonald AW, Mueller BA, Nelson B, Specker S, Slaymaker V, et al. . Changes in resting functional connectivity during abstinence in stimulant use disorder: a preliminary comparison of relapsers and abstainers. Drug Alcohol Depend (2014) 139:145–51. 10.1016/j.drugalcdep.2014.03.024
    1. Camchong J, Stenger A, Fein G. Resting-state synchrony in long-term abstinent alcoholics. Alcohol Clin Exp Res. (2013) 37:75–85. 10.1111/j.1530-0277.2012.01859.x
    1. Zhang JT, Ma SS, Li CSR, Liu L, Xia CC, Lan J, et al. . Craving behavioral intervention for internet gaming disorder: remediation of functional connectivity of the ventral striatum. Addict Biol. (2018) 23:337–46. 10.1111/adb.12474
    1. Zhang JT, Yao YW, Potenza MN, Xia CC, Lan J, Liu L, et al. . Altered resting-state neural activity and changes following a craving behavioral intervention for Internet gaming disorder. Sci Rep. (2016b) 6:28109. 10.1038/srep28109
    1. Winkler A, Dörsing B, Rief W, Shen Y, Glombiewski JA. Treatment of internet addiction: a meta-analysis. Clin Psychol Rev. (2013) 33:317–29. 10.1016/j.cpr.2012.12.005
    1. Deng LY, Liu L, Xia CC, Lan J, Zhang JT, Fang XY. Craving behavior intervention in ameliorating college students' internet game disorder: a longitudinal study. Front Psychol. (2017) 8:526. 10.3389/fpsyg.2017.00526
    1. Yao YW, Chen PR, Chiang-shan RL, Hare TA, Li S, Zhang JT, et al. Combined reality therapy and mindfulness meditation decrease intertemporal decisional impulsivity in young adults with Internet gaming disorder. Comp Hum Behav. (2017a) 68:210–6. 10.1016/j.chb.2016.11.038
    1. Liang L, Zhou D, Yuan C, Shao A, Bian Y. Gender differences in the relationship between internet addiction and depression: a cross-lagged study in Chinese adolescents. Comp Hum Behav. (2016) 63:463–70. 10.1016/j.chb.2016.04.043
    1. Siegle GJ, Thompson W, Carter CS, Steinhauer SR, Thase ME. Increased amygdala and decreased dorsolateral prefrontal BOLD responses in unipolar depression: related and independent features. Biol Psychiatry (2007) 61:198–209. 10.1016/j.biopsych.2006.05.048
    1. Ko CH, Yen JY, Chen SH, Yang MJ, Lin HC, Yen CF. Proposed diagnostic criteria and the screening and diagnosing tool of Internet addiction in college students. Comp Psychiatry (2009) 50:378–84. 10.1016/j.comppsych.2007.05.019
    1. Chen CY, Huang MF, Yen JY, Chen CS, Liu GC, Yen CF, et al. . Brain correlates of response inhibition in Internet gaming disorder. Psychiatry Clin Neurosci. (2015) 69:201–9. 10.1111/pcn.12224
    1. Derogatis LR, Lipman RS, Covi L. The SCL-90: an outpatient rating scale-preliminary report. Psychopharmacol Bull. (1973) 9:13–28.
    1. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry (1961) 4:561–71. 10.1001/archpsyc.1961.01710120031004
    1. Kober H, Mendesiedlecki P, Kross EF, Weber J, Mischel W, Hart CL, et al. . Prefrontal–striatal pathway underlies cognitive regulation of craving. Proc Natl Acad Sci USA (2010) 107:14811–6. 10.1073/pnas.1007779107
    1. Bast J, Reitsma P. Matthew effects in reading: a comparison of latent growth curve models and simplex models with structured means. Multivariate Behav Res (1997) 32:135–67. 10.1207/s15327906mbr3202_3
    1. Curran PJ, Bollen KA. The best of both worlds: combining autoregressive and latent curve models. In Collins LM, Sayer AG. editors. New Methods for the Analysis of Change. Washington, DC: American Psychological Association; (2001). p. 107–135.
    1. Jun S. The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among korean adolescents. Comp Hum Behav (2016) 58:179–86. 10.1016/j.chb.2015.12.061
    1. Song TM, An JY, Hayman LL, Kim GS, Lee JY, Jang HL. A three-year autoregressive cross-lagged panel analysis on nicotine dependence and average smoking. Healthcare Informatics Res. (2012) 18:115–24. 10.4258/hir.2012.18.2.115
    1. Muthén L. Mplus User's Guide. (2012). Los Angeles, CA: Muthén & Muthén 1998–2010.
    1. Cheung GW, Rensvold RB. Evaluating goodness-of-fit indexes for testing measurement invariance. Struct Equ Model Multidiscpl J. (2002) 9:233–55. 10.1207/S15328007SEM0902_5
    1. Ciarrochi J, Parker P, Kashdan T, Heaven P, Barkus E. Hope and emotional well-being. A six-year longitudinal study to distinguish antecedents, correlates, and consequences. [Advance online publication]. J. Posit. Psychol. (2015). 10:520–32. 10.1080/17439760.2015.1015154
    1. Steenkamp JBEM, Baumgartner H. Assessing Measurement Invariance in Cross-National Consumer Research. J. Consum. Res. (1998) 25:78–107. 10.1086/209528
    1. Neubert FX, Mars RB, Sallet J, Rushworth MF. Connectivity reveals relationship of brain areas for reward-guided learning and decision making in human and monkey frontal cortex. Proc Natl Acad Sci USA (2015) 112:E2695–704. 10.1073/pnas.1410767112
    1. Chaiton MO, Cohen JE, O'Loughlin J, Rehm J. A systematic review of longitudinal studies on the association between depression and smoking in adolescents. BMC Public Health (2009) 9:356. 10.1186/1471-2458-9-356
    1. Gilman SE, Abraham HD. A longitudinal study of the order of onset of alcohol dependence and major depression. Drug Alcohol Depend (2001) 63:277–86. 10.1016/S0376-8716(00)00216-7
    1. Tortolero SR, Peskin MF, Baumler ER, Cuccaro PM, Elliott MN, Davies SL, et al. . Daily violent video game playing and depression in preadolescent youth. Cyberpsychol Behav Soc Netw. (2014) 17:609–15. 10.1089/cyber.2014.0091
    1. Ko CH, Yen JY, Chen SH, Wang PW, Chen CS, Yen CF. Evaluation of the diagnostic criteria of Internet gaming disorder in the DSM-5 among young adults in Taiwan. J Psychiatr Res. (2014) 53:103–10. 10.1016/j.jpsychires.2014.02.008
    1. Cho SM, Sung MJ, Shin KM, Lim KY, Shin YM. Does psychopathology in childhood predict internet addiction in male adolescents? Child Psychiatry Hum Dev. (2013) 44:549–55. 10.1007/s10578-012-0348-4
    1. Rappeneau V, Bérod A. Reconsidering depression as a risk factor for substance use disorder: insights from rodent models. Neurosci Biobehav. Rev. (2017) 77:303–16. 10.1016/j.neubiorev.2017.04.001
    1. Choi J, Cho H, Kim JY, Jung DJ, Ahn KJ, Kang HB, et al. . Structural alterations in the prefrontal cortex mediate the relationship between Internet gaming disorder and depressed mood. Sci Rep (2017) 7:1245. 10.1038/s41598-017-01275-5
    1. Kendler KS, Prescott CA, Myers J, Neale MC. The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Arch Gen Psychiatry (2003) 60:929–37. 10.1001/archpsyc.60.9.929
    1. Pannekoek JN, Werff SJA, Meens PH, Bulk BG, Jolles DD, Veer IM, et al. . Aberrant resting-state functional connectivity in limbic and salience networks in treatment-naive clinically depressed adolescents. J Child Psychol Psychiatry (2014) 55:1317–27. 10.1111/jcpp.12266
    1. Hu S, Ide JS, Chao HH, Zhornitsky S, Fischer KA, Wang W, et al. . Resting state functional connectivity of the amygdala and problem drinking in non-dependent alcohol drinkers. Drug Alcohol Depend (2018) 185:173–180. 10.1016/j.drugalcdep.2017.11.026
    1. Dannlowski U, Ohrmann P, Konrad C, Domschke K, Bauer J, Kugel H, et al. . Reduced amygdala–prefrontal coupling in major depression: association with MAOA genotype and illness severity. Int J Neuropsychopharmacol. (2009) 12:11–22. 10.1017/S1461145708008973
    1. Mulders PC, van Eijndhoven PF, Schene AH, Beckmann CF, Tendolkar I. Resting-state functional connectivity in major depressive disorder: a review. Neurosci Biobehav Rev (2015) 56:330–44. 10.1016/j.neubiorev.2015.07.014
    1. Yao YW, Liu L, Ma SS, Shi XH, Zhou N, Zhang JT, et al. . Functional and structural neural alterations in Internet gaming disorder: a systematic review and meta-analysis. Neurosci Biobehav Rev. (2017) 83:313–24. 10.1016/j.neubiorev.2017.10.029
    1. Li CR, Sinha R. Inhibitory control and emotional stress regulation: neuroimaging evidence for frontal–limbic dysfunction in psycho-stimulant addiction. Neurosci Biobehav Rev. (2008) 32:581–97. 10.1016/j.neubiorev.2007.10.003
    1. Kirsch M, Gruber I, Ruf M, Kiefer F, Kirsch P. Real-time functional magnetic resonance imaging neurofeedback can reduce striatal cue-reactivity to alcohol stimuli. Addict Biol. (2015) 21:982–92. 10.1111/adb.12278
    1. Wéry A, Billieux J. Problematic cybersex: conceptualization, assessment, and treatment. Addict Behav. (2017) 64:238–46. 10.1016/j.addbeh.2015.11.007
    1. Paus T, Keshavan M, Giedd JN. Why do many psychiatric disorders emerge during adolescence? Nat Rev Neurosci. (2008) 9:947–57. 10.1038/nrn2513
    1. Kardefelt-Winther D, Heeren A, Schimmenti A, Rooij A, Maurage P, Carras M, et al. . How can we conceptualize behavioural addiction without pathologizing common behaviours? Addiction (2017) 112:1709–15. 10.1111/add.13763

Source: PubMed

3
Abonnieren