Impulse inhibition in people with Internet addiction disorder: Electrophysiological evidence from a Go/NoGo study
Abstract
We investigated response inhibition in people with Internet addiction disorder (IAD) by recording event-related brain potentials during a Go/NoGo task. Twelve IAD-afflicted and 12 normal university students participated in the study. Results show that the IAD group exhibited lower NoGo-N2 amplitude, higher NoGo-P3 amplitude, and longer NoGo-P3 peak latency than the normal group. The results also suggest that the IAD students had lower activation in the conflict detection stage than the normal group; thus, they had to engage in more cognitive endeavors to complete the inhibition task in the late stage. In addition, the IAD students showed less efficiency in information processing and lower impulse control than their normal peers.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
In contrast, in some studies no such alteration of inhibitory control is found (Dong et al., 2010; Dong et al., 2014; Dong et al., 2015; Sun et al 2009; Wang et al., 2017d; Zhang et al., 2016).
“En contraste, en algunos estudios no se da tal alteración (Dong et al., 2010; Dong et al., 2014; Dong et al., 2015; Sun et al 2009; Wang et al., 2017d; Zhang et al., 2016)”
From Adicciones a internet y funciones ejecutivas en estudiantes universitarios: una revisión sistemática (2020) · cites this paper as Dong et al., 2010
Cites
A cognitive-behavioral model of pathological Internet use
Davis, R. A. (2001) · Computers in Human Behavior · doi:10.1016/s0747-5632(00)00041-8 · Cited by 3,010 · see citing works
Influence of cognitive control and mismatch on the N2 component of the ERP: A review
Folstein, J. R., & Van Petten, C. (2008) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00602.x · Cited by 2,567 · see citing works
Donchin, E. (1981) · Psychophysiology · doi:10.1111/j.1469-8986.1981.tb01815.x · Cited by 1,857 · see citing works
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 1,198 · see citing works
ERP components in Go/Nogo tasks and their relation to inhibition
Falkenstein, M., Hoormann, J., & Hohnsbein, J. (1999) · Acta Psychologica · doi:10.1016/s0001-6918(99)00008-6 · Cited by 1,106 · see citing works
Modification in the Proposed Diagnostic Criteria for Internet Addiction
Beard, K. W., & Wolf, E. (2001) · CyberPsychology & Behavior · doi:10.1089/109493101300210286 · Cited by 1,018 · see citing works
The N2 in go/no-go tasks reflects conflict monitoring not response inhibition
Donkers, F. C. L., & van Boxtel, G. J. M. (2004) · Brain and Cognition · doi:10.1016/j.bandc.2004.04.005 · Cited by 749 · see citing works
Neuropsychology and neuropharmacology of P3a and P3b
Polich, J. M., & Criado, J. R. (2006) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.12.012 · Cited by 737 · see citing works
Movement-related potentials in the Go/NoGo task: The P3 reflects both cognitive and motor inhibition
Smith, J. L., Johnstone, S. J., & Barry, R. J. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.11.042 · Cited by 461 · see citing works
The relationship between impulsivity and Internet addiction in a sample of Chinese adolescents
Cao, F., Su, L., Liu, T., & Gao, X. (2007) · European Psychiatry · doi:10.1016/j.eurpsy.2007.05.004 · Cited by 454 · see citing works
The impact of impulsivity on cocaine use and retention in treatment
Moeller, F. G., Dougherty, D. M., Barratt, E. S., Schmitz, J. M., Swann, A. C., & Grabowski, J. G. (2001) · Journal of Substance Abuse Treatment · doi:10.1016/s0740-5472(01)00202-1 · Cited by 448 · see citing works
Frontal lobe dysfunction in pathological gambling patients
Cavedini, P., Riboldi, G., Keller, R., D’Annucci, A., & Bellodi, L. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(01)01227-6 · Cited by 418 · see citing works
Internet addiction: Meta-synthesis of qualitative research for the decade 1996–2006
Douglas, A. C., Mills, J. E., Niang, M., Stepchenkova, S. O., Byun, S., Ruffini, C., Lee, S. K., Loutfi, J., Lee, J.-K., Atallah, M., et al. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2008.05.009 · Cited by 397 · see citing works
Neurophysiological signals of working memory in normal aging
McEvoy, L. K., Pellouchoud, E., Smith, M. E., & Gevins, A. S. (2001) · Cognitive Brain Research · doi:10.1016/s0926-6410(01)00009-x · Cited by 321 · see citing works
Inhibition, response mode, and stimulus probability: a comparative event-related potential study
Bruin, K. J. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00141-4 · Cited by 313 · see citing works
Impulsivity predicts problem gambling in low SES adolescent males
Vitaro, F., Arseneault, L., & Tremblay, R. E. (1999) · Addiction · doi:10.1046/j.1360-0443.1999.94456511.x · Cited by 297 · see citing works
Jonkman, L. M. (2006) · Brain Research · doi:10.1016/j.brainres.2006.04.064 · Cited by 288 · see citing works
Bruin, K. J., Wijers, A. A., & van Staveren, A. S. J. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(01)00601-0 · Cited by 245 · see citing works
Kirmizi-Alsan, E., Bayraktaroğlu, Z., Gurvit, H. I., Keskin-Ergen, Y., Emre, M., & Demıralp, T. (2006) · Brain Research · doi:10.1016/j.brainres.2006.03.010 · Cited by 235 · see citing works
Shared Predictors of Youthful Gambling, Substance Use, and Delinquency.
Barnes, G. M., Welte, J. W., Hoffman, J. H., & Dintcheff, B. A. (2005) · Psychology of Addictive Behaviors · doi:10.1037/0893-164x.19.2.165 · Cited by 224 · see citing works
The influence of stimulus deviance and novelty on the P300 and Novelty P3
Goldstein, A., SPENCER, K. M., & Donchin, E. (2002) · Psychophysiology · doi:10.1111/1469-8986.3960781 · Cited by 196 · see citing works
Discrimination of emotional facial expressions in a visual oddball task: an ERP study
Campanella, S., Gaspard, C., Debatisse, D., Bruyer, R., Crommelinck, M., & Guérit, J. (2002) · Biological Psychology · doi:10.1016/s0301-0511(02)00005-4 · Cited by 166 · see citing works
Development of Inhibitory Processing During the Go/NoGo Task
Johnstone, S. J., Pleffer, C. B., Barry, R. J., Clarke, A. R., & Smith, J. L. (2005) · Journal of Psychophysiology · doi:10.1027/0269-8803.19.1.11 · Cited by 159 · see citing works
Bedard, A.-C., Ickowicz, A., Logan, G. D., Hogg-Johnson, S., Schachar, R., & Tannock, R. (2003) · Journal of Abnormal Child Psychology · doi:10.1023/a:1023285614844 · Cited by 159 · see citing works
Attention deficit and impulsivity: Selecting, shifting, and stopping
Kenemans, J. L., Bekker, E. M., Lijffijt, M., Overtoom, C. C. E., Jonkman, L. M., & Verbaten, M. N. (2005) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.03.009 · Cited by 122 · see citing works
Shucard, J. L., McCabe, D. C., & Szymanski, H. V. (2008) · Biological Psychology · doi:10.1016/j.biopsycho.2008.05.005 · Cited by 121 · see citing works
Human gender differences in an emotional visual oddball task: an event-related potentials study
Campanella, S., Rossignol, M., Mejias, S., Joassin, F., Maurage, P., Debatisse, D., Bruyer, R., Crommelinck, M., & Guérit, J. M. (2004) · Neuroscience Letters · doi:10.1016/j.neulet.2004.05.097 · Cited by 121 · see citing works
Event-related potentials for response inhibition in Parkinson's disease
Bokura, H., Yamaguchi, S., & Kobayashi, S. (2004) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.08.010 · Cited by 119 · see citing works
Duan, X., Shi, J., Wu, J., Mou, Y., Cui, H., & Wang, G. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.04.006 · Cited by 47 · see citing works
Zhang, B.-W., Zhao, L., & Xu, J. (2007) · Neuroscience Letters · doi:10.1016/j.neulet.2007.04.013 · Cited by 35 · see citing works
Is N2 associated with successful suppression of behavior responses in impulse control processes?
Dong, G., Lizhu, Y., Hu, Y., & Jiang, Y. (2009) · Neuroreport · doi:10.1097/wnr.0b013e3283271e9b · Cited by 30 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
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 2,153 · see citing works
The Association between Pathological Internet Use and Comorbid Psychopathology: A Systematic Review
Carli, V., Durkee, T., Wasserman, D., Hadlaczky, G., Despalins, R., Kramarz, E., Wasserman, C., Sarchiapone, M., Hoven, C. W., Brunner, R., et al. (2013) · Psychopathology · doi:10.1159/000337971 · Cited by 639 · 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
Dong, G., & Potenza, M. N. (2014) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.07.005 · Cited by 559 · see citing works
“Reduced response-inhibition and cognitive-control tendencies or abilities have been demonstrated in subjects with IGD (as compared to those without) using go/no-go (Dong et al., 2010), Stroop (Dong et al.”
MethodSelf-citationDeficits in behavioural inhibition in substance abuse and addiction: a meta-analysis.
Smith, J. L., Mattick, R. P., Jamadar, S. D., & Iredale, J. M. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.08.009 · Cited by 546 · see citing works
Internet gaming addiction: current perspectives
Kuss, D. (2013) · Psychology Research and Behavior Management · doi:10.2147/prbm.s39476 · Cited by 498 · see citing works
“In terms of behavior, excessive Internet gaming can result in problems with impulse control, behavioral inhibition, executive functioning, attention, and general cognitive functioning.(103,104,107,115,126,127) However, there are plus sides as well, in that the frequent gamer develops and improves a number of other cap…”
Internet addiction and sleep problems: A systematic review and meta-analysis
Alimoradi, Z., Lin, C., Broström, A., Bülow, P. H., Bajalan, Z., Griffiths, M. D., Ohayon, M. M., & Pakpour, A. H. (2019) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2019.06.004 · Cited by 483 · see citing works
Internet and Gaming Addiction: A Systematic Literature Review of Neuroimaging Studies
Kuss, D. J., & Griffiths, M. D. (2012) · Brain Sciences · doi:10.3390/brainsci2030347 · Cited by 437 · see citing works
“Furthermore, Internet addicts appear to have an impaired executive control ability relative to controls [56,53].”
BackgroundResultInfluentialCao, H., Sun, Y., Wan, Y., Hao, J., & Tao, F. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-802 · Cited by 432 · see citing works
“This finding also corresponds to analogous investigations of excessive Internet use [39,40], which has been reported that extensive Internet use may bring forth a heightened level of psychological arousal, possibly resulting in online users experiencing health problems.”
ResultMicrostructure 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 · see citing works
“Our results (Figure 1) of the reduced gray matter volume in the DLPFC, rACC, OFC, SMA and cerebellum may be, at least in part, associated with cognitive control and goal-directed behavior dysfunctions in internet addiction [15,19,20,28], which may explain fundamental symptoms of internet addiction.”
BackgroundResultInfluentialLuijten, M., Machielsen, M. W. J., Veltman, D. J., Hester, R., de Haan, L., & Franken, I. H. A. (2014) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.130052 · Cited by 357 · see citing works
“Dong and colleagues 95 confirmed less pronounced no-go N2 amplitudes in men with excessive Internet use than in those with casual Internet use, whereas P3 amplitudes in those with excessive Internet use were enhanced.”
BackgroundInternet addiction: coping styles, expectancies, and treatment implications
Brand, M., Laier, C., & YOUNG, K. S. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01256 · Cited by 305 · see citing works
Ding, W.-N., Sun, J.-H., Sun, Y.-W., Chen, X., Zhou, Y., Zhuang, Z.-G., Li, L., Zhang, Y., Xu, J.-R., & Du, Y.-S. (2014) · Behavioral and Brain Functions · doi:10.1186/1744-9081-10-20 · Cited by 294 · see citing works
Dong, G., DeVito, E. E., Du, X., & Cui, Z. (2012) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2012.02.001 · Cited by 289 · see citing works
“An event-related potential (ERP) study of response inhibition (Go/No-Go task) from our group found higher amplitude and longer peak latency in IAD participants’ nogo-P3 compared with those of healthy controls, suggesting less efficient inhibitory processes in the IAD group (Dong et al., 2010; Dong et al., 2011c).”
Self-citationLin, 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 278 · see citing works
“The observation of decreased FA within the anterior cingulum of IAD subjects is consistent with these previous results and with the report that heavy internet overuse [17] is associated with impaired cognitive control.”
MethodResultHow Has the Internet Reshaped Human Cognition?
Loh, K. K., & Kanai, R. (2016) · The Neuroscientist · doi:10.1177/1073858415595005 · Cited by 272 · see citing works
Zhang, M. X., & Wu, A. M. S. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106552 · Cited by 265 · see citing works
Dong, G., Huang, J., & Du, X. (2011) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2011.06.017 · Cited by 258 · see citing works
Self-citationNeuroscience 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
“Yuan, K.; Cheng, P.; Dong, T.; Bi, Y.; Xing, L.; Yu, D.; Zhao, L.; Dong, M.; von Deneen, K.M.; Liu, Y.; Qin, W.; Tian, J. Cortical Thickness Abnormalities in Late Adolescence with Online Gaming Addiction.”
BackgroundInfluentialCognitive deficits in problematic internet use: meta-analysis of 40 studies
Ioannidis, K., Hook, R., Goudriaan, A. E., Vlies, S., Fineberg, N. A., Grant, J. E., & Chamberlain, S. R. (2019) · British Journal of Psychiatry · doi:10.1192/bjp.2019.3 · Cited by 246 · see citing works
“G O T A SK ST O PSI G N A L TA SK Ding et al (2014)26 Dong et al (2010)27 Kim et al (2017)28 Ko et al (2014)29 Littel et al (2012)30 Liu et al (2004)31 Luijten et al (2015)32 Metcalf & Pammer (2014)33 Sun et al (2009)34 Yao et al (2015)35 Zhou et al (2010)36 Zhou et al (2016)37 Zhou et al…”
Precursor or Sequela: Pathological Disorders in People with Internet Addiction Disorder
Dong, G., Lu, Q., Zhou, H., & Zhao, X. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014703 · Cited by 220 · see citing works
“It has been reported that extensive Internet use may bring forth a heightened level of psychological arousal [8], possibly resulting in online users experiencing health problems [9,10].”
BackgroundSelf-citationStockdale, L., & Coyne, S. M. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.08.045 · Cited by 214 · see citing works
Dong, G., Lin, X., Zhou, H., & Lu, Q. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2013.11.028 · Cited by 206 · see citing works
Self-citationDong, G., Lin, X., & Potenza, M. N. (2014) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2014.10.012 · Cited by 193 · see citing works
“IGD subjects show impaired executive control ability relative to HC subjects (Dong et al., 2010, 2011c, Zhou et al., 2012, Dong et al., 2013b, Ko et al., 2013).”
BackgroundMethodInfluentialSelf-citationCortical Thickness Abnormalities in Late Adolescence with Online Gaming Addiction
Yuan, K., Cheng, P., Dong, T., Bi, Y., Xing, L., Yu, D., Zhao, L., Dong, M., von Deneen, K. M., Liu, Y., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0053055 · Cited by 185 · see citing works
“[12,13,35].”
Internet addiction assessment tools: dimensional structure and methodological status
Lortie, C. L., & Guitton, M. J. (2013) · Addiction · doi:10.1111/add.12202 · Cited by 177 · see citing works
“Other questionnaires specialized for assessing on-line video-gaming addiction (e.g. [38–40]) have referred to the pioneering Young’s Internet Addiction Test (IAT) [5], which was also based on the clinical DSM definition of pathological gambling.”
BackgroundInfluentialKo, C. (2014) · Current Addiction Reports · doi:10.1007/s40429-014-0030-y · Cited by 174 · see citing works
Ko, C., Hsieh, T.-J., Chen, C., Yen, C., Chen, C., Yen, J., Wang, P., & Liu, G. (2014) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-013-0483-3 · Cited by 174 · see citing works
“However, previous event-related potential studies conducted on the Go/No-go task demonstrated that the IGD group had a lower activation during the conflict detection stage and need to engage in more cognitive endeavors to complete the inhibition task [4].”
Dong, G., Zhou, H., & Zhao, X. (2011) · Neuroscience Letters · doi:10.1016/j.neulet.2011.05.047 · Cited by 167 · see citing works
Self-citationDong, G., Hu, Y., Lin, X., & Lu, Q. (2013) · Biological Psychology · doi:10.1016/j.biopsycho.2013.07.009 · Cited by 159 · 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
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 · see citing works
“2010) and increased NoGo P3 amplitudes (Dong et al. 2010).”
BackgroundMethodResultInfluentialResting-state beta and gamma activity in Internet addiction
Choi, J., Park, S. M., Lee, J., Hwang, J. Y., Jung, H. Y., Choi, S., Kim, D., Oh, S., & Lee, J. (2013) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2013.06.007 · Cited by 153 · see citing works
Chen, J., Liang, Y.-S., Mai, C., Zhong, X., & Qu, C. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00511 · Cited by 139 · see citing works
“Smartphone overuse includes some features of Internet addiction, such as prominence, mood modification, tolerance, withdrawal, conflict, and relapse (Van Rooij et al., 2010; Weinstein and Lejoyeux, 2010; Kwon et al., 2013; Lin et al., 2014).”
BackgroundMethodInfluentialNeuroimaging for drug addiction and related behaviors
Parvaz, M. A., Alia-Klein, N., Woicik, P. A., Volkow, N. D., & Goldstein, R. Z. (2011) · Reviews in the Neurosciences · doi:10.1515/rns.2011.055 · Cited by 151 · see citing works
“Blunted N200 amplitudes have been reported in individuals with alcohol (Easdon et al. , 2005 ), cocaine (Sokhadze et al. , 2008 ), heroin (Yang et al. , 2009 ), nicotine (Luijten et al. , 2011 ), and even internet (Cheng et al. , 2010 ; Dong et al. , 2010 ) addiction.”
Ko, C., Hsieh, T.-J., Wang, P., Lin, W., Yen, C., Chen, C., & Yen, J. (2014) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2014.11.003 · Cited by 145 · see citing works
Dong, G., DeVito, E. E., Huang, J., & Du, X. (2012) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2012.05.015 · Cited by 142 · see citing works
Self-citationDong, G., Li, H., Wang, L., & Potenza, M. N. (2017) · European Psychiatry · doi:10.1016/j.eurpsy.2017.03.004 · Cited by 139 · see citing works
“This result is consistent with previous studies on IGD subjects’ executive control function on go/no-go [34], Stroop [30] and switching [60] tasks, respectively.”
ResultSelf-citationLin, X., Zhou, H., Dong, G., & Du, X. (2014) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2014.08.016 · Cited by 133 · see citing works
Self-citationJin, C., Zhang, T., Cai, C., Bi, Y., Li, Y., Yu, D., Zhang, M., & Yuan, K. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9439-8 · Cited by 125 · see citing works
Abnormal gray matter and white matter volume in 'Internet gaming addicts'.
Lin, X., Dong, G., Wang, Q.-D., & Du, X.-X. (2015) · Addictive Behaviours · doi:10.1016/j.addbeh.2014.09.010 · Cited by 139 · see citing works
Self-citationKoutamanis, M., Vossen, H. G. M., & Valkenburg, P. M. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.016 · Cited by 126 · see citing works
“Previous research suggested that inhibitory control decreases adolescents’ ability to inhibit the frequency of their social media use (Burnay et al., 2015; Cao et al., 2007; Dong et al., 2010) and, subsequently, the risk of negative online experiences (Livingstone & Helsper, 2007).”
BackgroundAlterations in regional homogeneity of resting-state brain activity in internet gaming addicts
Dong, G., Huang, J., & Du, X. (2012) · Behavioral and Brain Functions · doi:10.1186/1744-9081-8-41 · Cited by 115 · see citing works
“Although significant prevalence estimations and associations with adverse consequences have been addressed [1,7-11], few studies focused on the neurobiological underpinnings of IAD [12-14].”
BackgroundSelf-citationYao, Y.-W., Wang, L.-J., Yip, S. W., Chen, P.-R., Li, S., Xu, J., Zhang, J.-T., Deng, L.-Y., Liu, Q.-X., & Fang, X.-Y. (2015) · Psychiatry Research · doi:10.1016/j.psychres.2015.07.004 · Cited by 108 · 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
Internet Addiction among Adolescents May Predict Self-Harm/Suicidal Behavior: A Prospective Study
Pan, P., & Yeh, C. (2018) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2018.01.046 · Cited by 107 · see citing works
Zheng, H., Hu, Y.-B., Wang, Z.-L., Wang, M., Du, X.-X., & Dong, G. (2019) · Progress in Neuro-psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2019.109656 · Cited by 100 · see citing works
Self-citationTrait and state impulsivity in males with tendency towards Internet-pornography-use disorder
Antons, S., & Brand, M. (2017) · Addictive Behaviors · doi:10.1016/j.addbeh.2017.12.029 · Cited by 108 · see citing works
Ryu, H., Lee, J.-Y., Choi, A., Park, S., Kim, D.-J., & Choi, J.-S. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15030458 · Cited by 104 · see citing works
“In particular, impulsivity assessed by neuropsychological tests, such as the Stop Signal Test and Go/No-Go Task, was related to IGD symptoms [13,17,18].”
MethodWang, H., Jin, C., Yuan, K., Shakir, T. M., Mao, C., Niu, X., Niu, C., Guo, L., & Zhang, M. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00064 · Cited by 105 · see citing works
“…also found that IGD group demonstrated lower NoGo-N2 amplitude, higher NoGo-P3 amplitude, and longer NoGo-P3 peak latency, indicating that they engaged in more cognitive endeavors, less efficiency in information processing, and lower impulse control than their normal peers (Dong et al., 2010).”
BackgroundDysfunctional cognitive control and reward processing in adolescents with Internet gaming disorder
Li, Q., Wang, Y., Zhong, Y. J., Dai, W., Zheng, Y., Sun, Y., & Liu, X. (2019) · Psychophysiology · doi:10.1111/psyp.13469 · Cited by 107 · see citing works
Genetic Dissection of Behavioral Flexibility: Reversal Learning in Mice
Laughlin, R. E., Grant, T. L., Williams, R. W., & Jentsch, J. D. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.01.014 · Cited by 103 · see citing works
The impairing effects of mental fatigue on response inhibition: An ERP study
Guo, Z., Chen, R., Liu, X., Zhao, G., Zheng, Y., Gong, M., & Zhang, J. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198206 · Cited by 104 · see citing works
A review of psychological interventions for internet addiction
Xu, L., Wu, L., Geng, X., Wang, Z., Guo, X.-Y., Song, K., Liu, G., Deng, L., Zhang, J., & Potenza, M. N. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.114016 · Cited by 101 · see citing works
Dong, G., Wang, Z., Wang, Y., Du, X., & Potenza, M. N. (2019) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2018.04.009 · Cited by 99 · see citing works
Self-citationEmotional and non-emotional pathways to impulsive behavior and addiction.
Torres, A., Catena, A., Megías, A., Maldonado, A., Cándido, A., Verdejo-García, A., & Perales, J. C. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00043 · Cited by 99 · see citing works
“…of the relationship between N2 magnitude and addictive behavior, and, specifically, a reduction of the No-go > Go difference and the underlying source activations in samples of clinically addicted patients (Sokhadze et al., 2008; Dong et al., 2010; Luijten et al., 2011; Pandey et al., 2012).”
BackgroundDong, G., Wang, J., Yang, X., & Zhou, H. (2012) · Asia-Pacific Psychiatry · doi:10.1111/j.1758-5872.2012.00185.x · Cited by 95 · see citing works
“It has become a serious global mental health issue because addicts are impaired in various behavioral aspects, including social interactions and academic performance (Scherer, 1997; Morahan-Martin and Schumacher, 2000; Dong et al., 2010).”
BackgroundSelf-citationEvidences from Rewarding System, FRN and P300 Effect in Internet-Addiction in Young People
Balconi, M., Venturella, I., & Finocchiaro, R. (2017) · Brain Sciences · doi:10.3390/brainsci7070081 · Cited by 93 · see citing works
“Also for IA this dysfunction was observed in recent research (see [6,7] for a complete review).”
BackgroundImpaired Frontal-Basal Ganglia Connectivity in Adolescents with Internet Addiction
Baojuan Li, A., Friston, K. J., Liu, J., Liu, Y., Zhang, G., Cao, F., Su, L., Yao, S., Lu, H., & Hu, D. (2014) · Scientific Reports · doi:10.1038/srep05027 · Cited by 87 · see citing works
Children’s Health in the Digital Age
Dresp, B. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17093240 · Cited by 85 · see citing works
“Results from a set of independent studies [74-78], mostly conducted in East Asia on young male subjects with internet gaming disorder, were recently analyzed in a comprehensive metareview [79].”
BackgroundQuaglieri, A., Biondi, S., Roma, P., Varchetta, M., Fraschetti, A., Burrai, J., Lausi, G., Vilar, M. M., González‐Sala, F., Domenico, A. D., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm11010188 · Cited by 93 · see citing works
Nie, J., Zhang, W., Chen, J., & Li, W. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.01.004 · Cited by 79 · see citing works
The Functional Anatomy of Impulse Control Disorders
Probst, C. C., & van Eimeren, T. (2013) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-013-0386-8 · Cited by 77 · see citing works
“But there are also studies that did not find any behavioral differences between gamblers or Internet addicts and controls [85–88] or PD patients with ICDs and PD controls [89].”
Zhang, Y., Lin, X., Zhou, H., Xu, J., Du, X., & Dong, G. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00714 · Cited by 80 · see citing works
Self-citationDong, G., Lin, X., Hu, Y., Xie, C., & Du, X. (2015) · Scientific Reports · doi:10.1038/srep09197 · Cited by 76 · see citing works
“Task based fMRI studies also demonstrated that IGD subjects showed reduced response inhibitions than healthy controls 8,9,11,12 .”
Self-citationThe role of emotional inhibitory control in specific internet addiction – an fMRI study
Dieter, J., Hoffmann, S., Mier, D., Reinhard, I., Beutel, M., Vollstädt-Klein, S., Kiefer, F., Mann, K., & Leménager, T. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.01.046 · Cited by 75 · see citing works
The Evolution of Internet Addiction Disorder
Young, K. (2015) · Studies in Neuroscience, Psychology and Behavioral Economics · doi:10.1007/978-3-319-07242-5_1 · Cited by 75 · see citing works
Metcalf, O., & Pammer, K. (2014) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2013.0024 · Cited by 72 · see citing works
“34 However, other research has shown no differences in levels of disinhibition, 35 and one study found that excessive Internet users had lower levels of disinhibition.”
Neurobiological findings related to I nternet use disorders
Park, B., Han, D. H., & Roh, S. (2016) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12422 · Cited by 74 · see citing works
“, compared to healthy controls, IA patients showed lower NoGo-N2 amplitude, higher NoGo-P3 amplitude, and longer NoGo-P3 peak latency in event-related brain potentials while performing the Go/NoGo tasks.(69) This suggests that the activation is decreased in the conflict-detection stage of IA patients and that more cog…”
ResultWang, Y., Wu, L., Zhou, H., Lin, X., Zhang, Y., Du, X., & Dong, G. (2016) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-016-0721-6 · Cited by 73 · see citing works
“Moreover, studies suggested that the deficits in similar brain areas mediating executive function and reward circuit were associated with impaired decision making in IGD, such as the anterior cingulate cortex (ACC).”
BackgroundResultInfluentialSelf-citationDong, G., Shen, Y., Huang, J., & Du, X. (2013) · European Addiction Research · doi:10.1159/000346783 · Cited by 73 · see citing works
Self-citationInternet addiction: Neuroimaging findings
Yuan, K., Qin, W., Liu, Y., & Tian, J. (2011) · Communicative & Integrative Biology · doi:10.4161/cib.17871 · Cited by 73 · see citing works
“The reward system is thought to play a crucial role in the development and maintenance of drug addiction and drug addicts often showed a deficient reward system.22,27 To investigate the reward and punishment processing in IAD, Dong et al. scanning the brain of the individuals with IAD and controls when they received a…”
InfluentialGao, Q., Jia, G., Zhao, J., & Zhang, D. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01810 · Cited by 71 · see citing works
“Nevertheless, the current Nogo-P3 finding is inconsistent with that of Dong et al. (2010) and Detandt et al. (2017), who found that excessive Internet users or smokers had larger Nogo-P3 amplitudes compared to the control subjects.”
BackgroundResultInfluentialAuditory evoked potential could reflect emotional sensitivity and impulsivity
Kim, J. S., Kim, S., Jung, W., Im, C., & Lee, S. (2016) · Scientific Reports · doi:10.1038/srep37683 · Cited by 72 · see citing works
Wang, L., Wu, L., Wang, Y., Li, H., Liu, X., Du, X., & Dong, G. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01150 · Cited by 72 · see citing works
“Numerous imaging studies have found impaired executive control ability in IGD subjects (Dong and Zhou, 2010; Dong et al., 2010, 2011b, 2012a, 2014b, 2015, 2017b; Dong and Potenza, 2014; Weinstein and Lejoyeux, 2015; Wang L. et al., 2016a,b; Wang Y. et al., 2016b; Weinstein et al., 2017), yet, the…”
BackgroundSelf-citationEvent-Related Potentials in Substance Use Disorders
Campanella, S., Pogarell, O. M., & Boutros, N. N. (2013) · Clinical EEG and Neuroscience · doi:10.1177/1550059413495533 · Cited by 67 · see citing works
An fMRI study of cognitive control in problem gamers
Luijten, M., Meerkerk, G.-J., Franken, I. H. A., van de Wetering, B. J. M., & Schoenmakers, T. M. (2015) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2015.01.004 · Cited by 68 · see citing works
“Some studies, however, did not find impairments in behavioral inhibitory control in problem gamers (Dong et al., 2010; Ding et al., 2014).”
Gao, L., Zhang, J., Xie, H.-P., Nie, Y.-F., Zhao, Q.-B., & Zhou, Z. (2020) · Addictive Behaviours · doi:10.1016/j.addbeh.2020.106363 · Cited by 65 · see citing works
You, Z., Mei, W., Ye, N., Zhang, L., & Andrasik, F. (2021) · Journal of Behavioral Addictions · doi:10.1556/2006.2020.00104 · Cited by 69 · see citing works
“When faced with inhibition tasks, inhibition control among those with IA becomes inefficient, leading to excessive consumption of psychological resources (Dong et al., 2010) and increased ruminative thinking (Ma, Zhao, Wang, Yang, & Qian, 2013).”
BackgroundPezoa-Jares, R. E. (2012) · Journal of Addiction Research & Therapy · doi:10.4172/2155-6105.s6-004 · Cited by 67 · see citing works
“[88] investigated response inhibition in subjects with IA by recording event-related brain potentials during a Go/NoGo task.”
MethodCampanella, S., Cimochowska, A., Kornreich, C., Hanak, C., Verbanck, P., & Petit, G. (2014) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s61475 · Cited by 66 · see citing works
“11,16,48,50,65,66 The larger P3d amplitude in patients may hence attest to the need for additional neural resources recruitment required to perform the task correctly.”
Impact of social media use on executive function
Reed, P. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107598 · Cited by 64 · see citing works
Internet addiction and functional brain networks: task-related fMRI study
Darnai, G., Perlaki, G., Zsido, A. N., Inhóf, O., Orsi, G., Horváth, R. A., Nagy, S. A., Lábadi, B., Tényi, D., Kovács, N., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-52296-1 · Cited by 65 · see citing works
Neurobiological Risk Factors for the Development of Internet Addiction in Adolescents
Tereshchenko, S. Y., & Каспаров, Э. В. (2019) · Behavioral Sciences · doi:10.3390/bs9060062 · Cited by 64 · see citing works
“The analysis of the electric encephalogram event-related potentials showed a decreased time of response, which may be associated with the disturbance of voluntary regulation [42].”
BackgroundReduced fiber integrity and cognitive control in adolescents with internet gaming disorder
Xing, L., Yuan, K., Bi, Y., Yin, J., Cai, C., Feng, D., Li, Y., Song, M. K., Wang, H., Yu, D., et al. (2014) · Brain Research · doi:10.1016/j.brainres.2014.08.044 · Cited by 62 · see citing works
“Previous IGD studies have revealed cognitive impairments among online gamers by using cognitive control tasks, such as color-word Stroop task, GO/NOGO task and gambling task (Dong et al., 2010, 2011b, 2012, 2013, Yuan et al., 2013a, 2013b).”
MethodD’Hondt, F., Billieux, J., & Maurage, P. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.10.005 · Cited by 64 · see citing works
Schiebener, J., Laier, C., & Brand, M. (2015) · Journal of Behavioral Addictions · doi:10.1556/jba.4.2015.1.5 · Cited by 65 · see citing works
“However, previous studies suggested that Internet addicts do not suffer from executive deficits in general (Dong, Lin, Zhou & Lu, 2013; Dong, Lu, Zhou & Zhao, 2010; Sun et al., 2009) but when they are confronted with material related to their specific addictive tendencies (Brand et al., 2014; Zhou,…”
BackgroundCognitive factors associated with gaming disorder
Billieux, J., Potenza, M. N., Maurage, P., Brevers, D., Brand, M., & King, D. L. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815298-0.00016-2 · Cited by 59 · see citing works
Yan, H., Li, Q., Yu, K., & Zhao, G. (2021) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2021.110242 · Cited by 57 · see citing works
Wang, L., Wu, L., Lin, X., Zhang, Y., Zhou, H., Du, X., & Dong, G. (2016) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2016.07.001 · Cited by 55 · see citing works
“Numerous previous studies have demonstrated that subjects with IGD are associated with impaired executive control ability (Dong et al., 2013b, 2015, 2010, 2011; Zhou et al., 2012).”
BackgroundSelf-citationAltered Structural Correlates of Impulsivity in Adolescents with Internet Gaming Disorder
Du, X., Qi, X., Yang, Y., Du, G., Gao, P., Zhang, Y., Qin, W., Li, X., & Zhang, Q. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00004 · Cited by 54 · see citing works
“Frontiers in Human Neuroscience | www.frontiersin.org 1 January 2016 | Volume 10 | Article 4 (Cao et al., 2007; Ko et al., 2009; Dong et al., 2010, 2011, 2013a,b; Zhou et al., 2012; Dong and Potenza, 2014).”
Relationship of Internet gaming disorder with dissociative experience in Italian university students
Pasquale, C. D., Dinaro, C., & Sciacca, F. (2018) · Annals of General Psychiatry · doi:10.1186/s12991-018-0198-y · Cited by 50 · see citing works
“In more detail, the neurobiological bases of gaming addiction are similar to those of the chemicals’ addiction [7, 8].”
BackgroundTsai, J.-K., Lu, W.-H., Hsiao, R. C.-J., Hu, H., & Yen, C. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17134766 · Cited by 54 · see citing works
“Moreover, a Go/NoGo study reported that college students with IA had lower electrophysiological activation in the conflict detection stage than did those without IA [40], indicating that they had lower efficiency in information processing than did their peers without IA.”
BackgroundYin, J., Yuan, K., Feng, D., Cheng, J., Li, Y., Cai, C., Bi, Y., Shi, S., Shen, X., Zhang, B., et al. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9418-0 · Cited by 52 · see citing works
Kim, M., Lee, T. H., Choi, J., Kwak, Y. B., Hwang, W. J., Kim, T., Lee, J. Y., Lim, J.-A., Park, M., Kim, Y. J., et al. (2017) · Scientific Reports · doi:10.1038/srep41742 · Cited by 52 · see citing works
Liao, K., McCandliss, B. D., Carlson, S. E., Colombo, J. A., Shaddy, D. J., Kerling, E. H., Lepping, R. J., Sittiprapaporn, W., Cheatham, C. L., & Gustafson, K. M. (2016) · Developmental Science · doi:10.1111/desc.12455 · Cited by 52 · see citing works
The relationship between autism quotient, anxiety, and internet addiction
Romano, M., Truzoli, R., Osborne, L. A., & Reed, P. (2014) · Research in Autism · doi:10.1016/j.rasd.2014.08.002 · Cited by 51 · see citing works
Ayub, S., Jain, L., Parnia, S., Bachu, A. K., Farhan, R., Kumar, H., Sullivan, A., & Ahmed, S. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12093345 · Cited by 53 · see citing works
“Functional magnetic resonance imaging (fMRI) studies have shown altered neural responses in the reward-related regions of the brain in individuals with internet addiction, including the prefrontal cortex, anterior cingulate cortex, and striatum [21,29,30,32,33].”
BackgroundIs the I nternet gaming‐addicted brain close to be in a pathological state?
Park, C.-H., Chun, J., Cho, H., Jung, Y., Choi, J., & Kim, D. (2015) · Addiction Biology · doi:10.1111/adb.12282 · Cited by 50 · see citing works
“The local or interregional changes involving the frontal region appear to be specifically related to less efficient top-down inhibitory processes regarding poor impulse control in IGA (Dong & Zhou 2010; Dong et al. 2010, 2012a; Lorenz et al. 2013; Li et al. 2014).”
BackgroundPeng, C., Wang, M., Cheng, J., Tan, Y., Huang, Y., Rong, F., Kang, C., Ding, H., & Yu, Y. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106949 · Cited by 48 · see citing works
- Authors
- Dong, G., Lu, Q., Zhou, H., & Zhao, X.
- Affiliations
- Zhejiang Normal University (CN)
- University of Oregon (US)
- Corresponding author
- Dong, Guangheng
- Venue
- Neuroscience Letters
- Publisher
- Elsevier BV
- Published
- 2010-11
- Volume
- 485
- Issue
- 2
- Pages
- 138-142
- ISSN
- 0304-3940 (ISSN-L)
- OpenAlex
- W2045800887
- Cited by
- 296
- References
- 31
- Citations by year
- 2026: 12 · 2025: 18 · 2024: 21 · 2023: 16 · 2022: 21 · 2021: 29 · 2020: 20 · 2019: 16 · 2018: 10 · 2017: 21 · 2016: 21 · 2015: 27 · 2014: 24 · 2013: 17 · 2012: 14
- FWCI
- 41.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuroscience Letters (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Keywords
- internet addiction, response inhibition, impulse control, event-related potentials, go/no-go task, Nogo-N2, Nogo-P3, conflict detection, processing efficiency
- MeSH terms
- Adult, Electroencephalography, Evoked Potentials, Female, Humans, Disruptive, Impulse Control, and Conduct Disorders, Impulsive Behavior, Male, Neural Inhibition, Behavior, Addictive, Internet, Young Adult
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
