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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.
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“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
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“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.”
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Internet addiction and sleep problems: A systematic review and meta-analysis
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“Furthermore, Internet addicts appear to have an impaired executive control ability relative to controls [56,53].”
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“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
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“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
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Dong, G., DeVito, E. E., Du, X., & Cui, Z. (2012) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2012.02.001 · Cited by 289
“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 297
“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
Zhang, M. X., & Wu, A. M. S. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106552 · Cited by 265
Dong, G., Huang, J., & Du, X. (2011) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2011.06.017 · Cited by 258
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
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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
“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
“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
Dong, G., Lin, X., Zhou, H., & Lu, Q. (2014) · Addictive Behaviors · doi:10.1016/j.addbeh.2013.11.028 · Cited by 206
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 201
“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
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Internet addiction assessment tools: dimensional structure and methodological status
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“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
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 181
“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
Self-citationDong, G., Hu, Y., Lin, X., & Lu, Q. (2013) · Biological Psychology · doi:10.1016/j.biopsycho.2013.07.009 · Cited by 159
Self-citationWeinstein, A. M., & Lejoyeux, M. (2013) · American Journal on Addictions · doi:10.1111/ajad.12110 · Cited by 180
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
“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
Chen, J., Liang, Y., Mai, C., Zhong, X., & Qu, C. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00511 · Cited by 164
“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
“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 144
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
Self-citationDong, G., Li, H., Wang, L., & Potenza, M. N. (2017) · European Psychiatry · doi:10.1016/j.eurpsy.2017.03.004 · Cited by 139
“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 138
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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
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 144
“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
“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
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 115
Internet Addiction among Adolescents May Predict Self-Harm/Suicidal Behavior: A Prospective Study
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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
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
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
“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
“…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 110
Genetic Dissection of Behavioral Flexibility: Reversal Learning in Mice
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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 115
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 109
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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
“…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
“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 96
“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 90
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
“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 104
Nie, J., Zhang, W., Chen, J., & Li, W. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.01.004 · Cited by 79
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
“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
Self-citationDong, G., Lin, X., Hu, Y., Xie, C., & Du, X. (2015) · Scientific Reports · doi:10.1038/srep09197 · Cited by 76
“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
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
Metcalf, O., & Pammer, K. (2013) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2013.0024 · Cited by 76
“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
“, 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 75
“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
Self-citationInternet addiction: Neuroimaging findings
Yuan, K., Qin, W., Liu, Y., & Tian, J. (2011) · Communicative & Integrative Biology · doi:10.4161/cib.17871 · Cited by 83
“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
“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
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 77
“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 68
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
“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., Nie, Y., Zhao, Q., & Zhou, Z. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2020.106363 · Cited by 69
You, Z., Mei, W., Ye, N., Zhang, L., & Andrasik, F. (2021) · Journal of Behavioral Addictions · doi:10.1556/2006.2020.00104 · Cited by 73
“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 79
“[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
“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
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 68
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 78
“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
“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 68
Schiebener, J., Laier, C., & Brand, M. (2015) · Journal of Behavioral Addictions · doi:10.1556/jba.4.2015.1.5 · Cited by 69
“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 65
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 59
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 56
“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
“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
“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
“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 55
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 54
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
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
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 56
“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
“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 51
Metadata
- 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
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