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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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Neuropsychology and neuropharmacology of P3a and P3b
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The N2 in go/no-go tasks reflects conflict monitoring not response inhibition
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Aberrant corticostriatal functional circuits in adolescents with Internet addiction disorder
Lin, F., Zhou, Y., Du, Y., Zhao, Z., Qin, L.-D., Xu, J., & Lei, H. C. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00356 · Cited by 47
Is there a shared neurobiology between aggression and Internet addiction disorder?
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Behavioral addictions in addiction medicine
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“In a Go/No-Go task, N2 amplitude was lower in PIU and P3 amplitude was larger with a longer latency, and decreased activity in conflict detection was observed compared to healthy comparison subjects (Dong et al., 2010).”
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Interventions for Digital Addiction: Umbrella Review of Meta-Analyses
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“Digital addiction may constitute impulsive behavior, although the consequences are negative impacts and involve continuous participation [60].”
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Meta-analysis of structural and functional brain alterations in internet gaming disorder
Niu, X., Gao, X., Zhang, M., Yang, Z., Yu, M., Wang, W., Wei, Y., Cheng, J., Han, S., & Zhang, Y. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.1029344 · Cited by 45
“A study (58) has found that the MFG activation was negatively correlated with the Stroop effect in the IGD groups, which is consistent with previous studies on IGD subjects in go/no-go task (94) and switching (95) task.”
ResultMegías‐Robles, A., Gutiérrez‐Cobo, M. J., Gómez‐Leal, R., Cabello, R., & Fernández‐Berrocal, P. (2017) · Scientific Reports · doi:10.1038/s41598-017-16657-y · Cited by 47
Dong, G., Liu, X., Zheng, H., Du, X.-X., & Potenza, M. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.03.003 · Cited by 37
Self-citationElectrophysiological studies in Internet addiction: A review within the dual-process framework
D’Hondt, F., & Maurage, P. (2015) · Addictive Behaviors · doi:10.1016/j.addbeh.2015.10.012 · Cited by 40
“…has to be made at the methodological level concerning the exploration of: (1) inhibition, as contrasted results are obtained between unspecified IA (Dong et al., 2010, 2011; Zhou et al., 2010) and excessive online gamers (Littel et al., 2012); (2) decisionmaking and potential benefit of therapies…”
ResultInfluentialCampanella, S., Schröder, E., Monnart, A., Vanderhasselt, M., Duprat, R., Rabijns, M., Kornreich, C., Verbanck, P., & Baeken, C. (2016) · Clinical EEG and Neuroscience · doi:10.1177/1550059416645977 · Cited by 42
Yau, Y. H. C., Pilver, C. E., Steinberg, M. A., Rugle, L. J., Hoff, R. A., Krishnan‐Sarin, S., & Potenza, M. N. (2013) · Addictive Behaviors · doi:10.1016/j.addbeh.2013.09.003 · Cited by 39
Response inhibition in problematic social network sites use: an ERP study
Moretta, T., & Buodo, G. (2021) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-021-00879-9 · Cited by 39
Reed, P., Osborne, L. A., Romano, M., & Truzoli, R. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.03.064 · Cited by 37
Wang, L., Tao, T., Fan, C., Gao, W., & Wei, C. (2016) · Addiction Research & Theory · doi:10.1080/16066359.2016.1206082 · Cited by 38
“For instance, Dong et al. (2010) investigated response inhibition in people with IAD by recording event-related potentials during a go/no–go task.”
MethodKhoshakhlagh, H., & Faramarzi, S. (2012) · Europe PMC (PubMed Central) · Cited by 36
Dong, G., Wang, M., Zhang, J., Du, X., & Potenza, M. N. (2019) · Journal of Behavioral Addictions · doi:10.1556/2006.8.2019.75 · Cited by 35
Self-citationN200 and P300 component changes in Parkinson’s disease: a meta-analysis
Xu, H., Gu, L., Zhang, S., Wu, Y., Wei, X., Wang, C., Xu, Y., & Guo, Y. (2022) · Neurological Sciences · doi:10.1007/s10072-022-06348-6 · Cited by 33
“Frontalcentral N200 potential is a marker of impulse control and is mainly involved in brain conflict monitoring and behavioral inhibition [38].”
BackgroundThe relationship between schizotypal personality and internet addiction in university students
Truzoli, R., Osborne, L. A., Romano, M., & Reed, P. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.010 · Cited by 33
“This pattern of data corresponds to a number of other reports that have noted a relationship between IAT and impulsiveness (Dong et al., 2012, 2010; Ko et al., 2010; Zhou et al., 2011), and between IAT scores and depression (Gundogar et al., 2012; Morrison & Gore, 2010).”
Cognitive functions in Internet addiction – a review
Cudo, A., & Zabielska‐Mendyk, E. (2019) · Psychiatria Polska · doi:10.12740/pp/82194 · Cited by 33
Overactivation of the Reward System and Deficient Inhibition in Exercise Addiction
Huang, Q., Huang, J., CHEN, Y., Deng, L., Xu, S., WEI, J., Qi, C., & Xu, X. (2019) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001988 · Cited by 38
Internet Gaming Disorder Increases Mind-Wandering in Young Adults
Zhang, J., Zhou, H., Geng, F., Song, X., & Hu, Y. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.619072 · Cited by 32
Self-citationAksu, S., Uslu, A., İşçen, P., Tülay, E. E., Barham, H., Soyata, A. Z., Demirtaş-Tatlıdede, A., Yıldız, G. B., Bılgıç, B., Hanağası, H. A., et al. (2022) · Neurological Sciences · doi:10.1007/s10072-022-06020-z · Cited by 32
“Furthermore, lower NoGo N2 and higher NoGo P3 amplitudes in the Go/NoGo task have been found in individuals with internet addiction [94].”
BackgroundDigital Technologies and their Impact on the Social and Psychological Characteristics of Adolecsents
Kamenskaya, V., & Tomanov, L. (2022) · Experimental Psychology · doi:10.17759/exppsy.2022150109 · Cited by 28
Profiles of Impulsivity in Problematic Internet Users and Cigarette Smokers
Liu, S.-J., Lan, Y., Wu, L., & Yan, W.-S. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00772 · Cited by 32
Rendimiento académico y cognitivo en el uso problemático de Internet
Vila, M. M., Carballo, J. L., & Coloma‐Carmona, A. (2017) · Adicciones · doi:10.20882/adicciones.844 · Cited by 30
Internet Gaming Disorder, Obsessive-Compulsive Disorder, and Addiction
Starčević, V., & Aboujaoude, E. N. (2017) · Current Addiction Reports · doi:10.1007/s40429-017-0158-7 · Cited by 31
Lin, X., Jia, X., Zang, Y., & Dong, G. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01471 · Cited by 30
“Other task related studies have proved this point that the IGD always accompanied with cognitive dysfunctions, such as cognitive function deficiency (Dong et al., 2010, 2011b).”
BackgroundSelf-citationUnconscious Processing of Facial Expressions in Individuals with Internet Gaming Disorder
Peng, X., Cui, F., Wang, T., & Jiao, C. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01059 · Cited by 29
Testa, G., Granero, R., Misiolek, A., Vintró‐Alcaraz, C., Mallorquí‐Bagué, N., Lozano‐Madrid, M., Heras, M. V. D. L., Sánchez, I., Jiménez‐Múrcia, S., & Fernández‐Aranda, F. (2022) · Nutrients · doi:10.3390/nu14235011 · Cited by 28
Internet Addiction and Its Cognitive Behavioral Therapy
enormanc, M., Konkan, R., & Zihni, M. (2012) · InTech eBooks · doi:10.5772/26265 · Cited by 28
“In an electrophysiologic trial on internet addiction, the addicted group was observed to make more cognitive effort to complete their assignments and to have lower efficiency in processing information and less impulse control as compared to the control group (Dong et al. 2010).”
BackgroundXu, Y., Chen, Q., & Tian, Y. (2024) · Psychology Research and Behavior Management · doi:10.2147/prbm.s441858 · Cited by 27
“47 Moreover, they suggest that the reduced N2 amplitude of IAD is aimed at reducing the cognitive resources for detecting conflict and allocating more cognitive effort to complete the later inhibition task (larger P3 amplitude).”
BackgroundMethodZhou, B., Zhang, W., Li, Y., Xue, J., & Zhang‐James, Y. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112814 · Cited by 29
Web addiction in the brain: Cortical oscillations, autonomic activity, and behavioral measures
Balconi, M., Campanella, S., & Finocchiaro, R. (2017) · Journal of Behavioral Addictions · doi:10.1556/2006.6.2017.041 · Cited by 26
Wang, Y., Zhao, Y., Liu, L., Chen, Y., Ai, D., Yao, Y., & Jin, Y. (2020) · Psychiatry Investigation · doi:10.30773/pi.2019.0131 · Cited by 26
Neural substrates of deficient cognitive control in individuals with severe internet gaming disorder
Wang, L., Yang, G., Zheng, Y., Li, Z., Wei, P., Li, Q., Hu, K., & Liu, X. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102828 · Cited by 27
“, lower than that of the IGD participants of two previous studies that found altered error monitoring in IGD (Dong et al., 2010; Dong et al., 2013), the addiction severity associated with IGD might account for the nonsignificant results.”
Feng, B., & Sun, W. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-022-00796-z · Cited by 29
“When mobile phone addicts face inhibitory tasks (such as turning off the mobile phone and going to sleep immediately), their inhibitory control becomes ineffective (Dong et al., 2010).”
BackgroundSlow-Wave EEG Activity Correlates with Impaired Inhibitory Control in Internet Addiction Disorder
Qi, Y., Liu, Y., Yan, Z., Hu, S., Zhang, X., Zhao, J. L., Turel, O., & He, Q. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19052686 · Cited by 27
“For example, as compared with normal controls, IAD individuals showed altered amplitude in N2 and P3 components when detecting conflicts, suggesting that they have a lower conflict monitoring capacity and need more attentional resources in response to inhibition tasks [8].”
BackgroundResultInfluentialMoshel, M. L., Warburton, W., Batchelor, J., Bennett, J. M., & Ko, K. Y. (2023) · Neuropsychology Review · doi:10.1007/s11065-023-09612-4 · Cited by 33
“Studies used different stimuli including letters (Ding et al., 2014; Dong et al., 2010; Luijten et al., 2015), shapes (Li et al., 2020; Liu et al., 2014), and numbers (Sun et al., 2009; Zhou et al., 2014, 2016).”
BackgroundMethodMüller, S. M., Schiebener, J., Brand, M., & Liebherr, M. (2021) · Cognitive Processing · doi:10.1007/s10339-021-01029-2 · Cited by 28
Molecular Genetics, Personality, and Internet Addiction Revisited
Montag, C., & Reuter, M. (2017) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-319-46276-9_9 · Cited by 25
Problematic internet use in gamblers: impact on clinical and cognitive measures
Chamberlain, S. R., Redden, S. A., Leppink, E. W., & Grant, J. E. (2017) · CNS Spectrums · doi:10.1017/s1092852917000037 · Cited by 26
Chiu, Y.-K., Pan, C., Chen, F., Tseng, Y., & Tsai, C. (2020) · Brain Sciences · doi:10.3390/brainsci10060387 · Cited by 24
“In addition, N2 and P3 can reflect the mental processes involved in conflict monitoring [14–17], as well as premotor evaluations and decision-making [2,3,15,27,29,30,32], respectively.”
BackgroundHolt, K. M., Holt, T. J., Cale, J., Brewer, R., & Goldsmith, A. J. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106952 · Cited by 27
The Psychobiology of Problematic Use of Social Media
Morris, R., Moretta, T., & Potenza, M. N. (2023) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-023-00261-8 · Cited by 29
“…between individuals with and without PUSM suggests that PUSM is associated with reduced inhibitory control, which is similar to that which is observed in other behavioral addictions and substance use disorders but seemingly conflicts with findings regarding problematic use of the internet [44, 45].”
ResultInhibition-related N2 and P3: Indicators of visually induced motion sickness (VIMS)
Wu, J., Zhou, Q., Li, J., Kong, X., & Xiao, Y. J. (2020) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2020.102981 · Cited by 25
Succumb to habit: Behavioral evidence for overreliance on habit learning in Internet addicts
Zhou, B., Wang, W., Zhang, W., Li, Y., & Nie, J. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.08.030 · Cited by 23
Dieterich, R., Wuellhorst, V., Berghäuser, J., Overmeyer, R., & Endraß, T. (2021) · Psychophysiology · doi:10.1111/psyp.13814 · Cited by 20
Kong, L., Zhao, M., Huang, W., Zhang, W., & Liu, J. (2025) · BMC Psychology · doi:10.1186/s40359-025-02696-y · Cited by 21
“Self-regulatory Self-regulatory fatigue may reduce BIS capacity, thereby increasing BAS sensitivity and leading to impulsive behaviors such as smartphone addiction [35–37].”
Moretta, T., Sarlo, M., & Buodo, G. (2019) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2019.0059 · Cited by 22
“…(non-PUs), as indicated by greater recruitment of anterior and posterior cingulate cortex, dorsolateral prefrontal, pre-motor, and parietal cortices, 3 and reduced amplitude of the N2 component of the ERPs in the NoGo condition, 4–6 which reflect impaired conflict monitoring and inhibitory control.”
Neural correlates of response inhibition and performance monitoring in binge watching
Kilian, C., Bröckel, K. L., Overmeyer, R., Dieterich, R., & Endraß, T. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.09.003 · Cited by 20
Zhou, D., Zhao, L., Ma, L., Hu, J., Chen, R., Jiang, Z., He, X., Peng, X., Liu, X., Li, X., et al. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.827480 · Cited by 21
“Increased P3 amplitudes may accompany subthreshold deficiency, suggesting that subjects use more neural resources to achieve a similar behavioral performance (51).”
BackgroundYıldız, Ü., Kuruoğlu, E., Günvar, T., Çöme, O., & Mevsim, V. (2024) · American Journal of Health Promotion · doi:10.1177/08901171241227036 · Cited by 21
Deng, X., Gao, Q., Hu, L., Zhang, L., Li, Y., & Bu, X. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18189603 · Cited by 23
“First, existing research focused mainly on PIU.”
BackgroundResultInfluentialNeurocognitive Mechanisms Underlying Internet/Smartphone Addiction: A Preliminary fMRI Study
Han, S. W., & Kim, C. H. (2022) · Tomography · doi:10.3390/tomography8040150 · Cited by 23
“In recent studies, researchers found no significant difference in the cognitive process for these tasks between the smartphone addiction group and the control group [4,20,28,29].”
BackgroundMolecular Genetics, Personality and Internet Addiction
Montag, C., & Reuter, M. (2015) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-319-07242-5_6 · Cited by 20
Du, X., Liu, L., Yang, Y., Qi, X., Gao, P., Zhang, Y., Zhu, J., Du, G., Dai, S., Li, X., et al. (2017) · Brain and Behavior · doi:10.1002/brb3.753 · Cited by 21
Neurocognitive assessment of emotional context sensitivity
Myruski, S., Bonanno, G. A., Gulyayeva, O., Egan, L. J., & Dennis‐Tiwary, T. A. (2017) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-017-0533-9 · Cited by 21
“N2 amplitudes following no-go trials (Dong et al., 2010; Pliszka et al., 2000).”
Identifying research streams in online gambling and gaming literature: A bibliometric analysis
Stehmann, J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106219 · Cited by 20
Li, Q., Nan, W., Taxer, J. L., Dai, W., Zheng, Y., & Liu, X. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00370 · Cited by 19
“…inhibitory control or reward processing of individuals with substance dependence (Parvaz et al., 2012; Kamarajan et al., 2013), problem gambling (Goudriaan et al., 2005; Lorains et al., 2014), and PIU (Dong et al., 2010, 2011), and such findings have supported the balance model of selfregulation.”
InfluentialNeurocognitive rehabilitation for addiction medicine
Campanella, S. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.07.014 · Cited by 19
“…stages of the inhibition process; Sokhadze et al., 2008) and in addictions without substances (such as in Internet addiction disorder, where enhanced NoGo P300 amplitudes indexed the degree of cognitive endeavors when participants successfully inhibited their impulse to respond; Dong et al., 2010).”
BackgroundWeinstein, A. M., & Lejoyeux, M. (2013) · American Journal on Addictions · doi:10.1111/j.1521-0391.2013.12110.x · Cited by 18
Chiorri, C., Soraci, P., & Ferrari, A. (2023) · Mindfulness · doi:10.1007/s12671-022-02066-4 · Cited by 25
Dependência de jogos eletrônicos: a possibilidade de um novo diagnóstico psiquiátrico
Lemos, I. L., & Santana, S. D. M. (2012) · Archives of Clinical Psychiatry (São Paulo) · doi:10.1590/s0101-60832012000100006 · Cited by 18
Zhang, Y. (2020) · Psychological Reports · doi:10.1177/0033294120918806 · Cited by 23
“Several studies using cognitive neuroscience techniques, such as event-related potentials and functional magnetic resonance imaging, have documented the cognitive and neutral mechanisms of impulsivity in Internet addiction (Dong et al., 2010; Gou et al., 2013).”
BackgroundTseng, Y.-H., Chao, H.-H., & Hung, C. (2022) · Children · doi:10.3390/children9060798 · Cited by 20
“These findings may be particularly important because individuals with IA often exhibit impairment in EF, particularly inhibition [30] and response monitoring [31].”
BackgroundKim, H., Kim, J., Woo, M., & Kim, T. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.940415 · Cited by 18
“These findings support the interpretation of the lower P3 after yoga relative to aerobic exercise in our study, which indicates more efficient cognitive processing, implying that more cognitive endeavors are required to complete the inhibition task after aerobic exercise than after yoga (53).”
ResultFathi, M., Pourrahimi, A. M., Poormohammad, A., Sardari, S., Rajizadeh, M. A., Mazhari, S., & Pourkand, D. (2024) · Addiction Biology · doi:10.1111/adb.13391 · Cited by 17
“43,72 Nevertheless, another study showed no significant difference regarding N2 amplitude in the NoGo trials in subjects with internet game addiction.”
BackgroundParvaz, M. A., Moeller, S. J., Goldstein, R. Z., & Proudfit, G. H. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu027 · Cited by 17
“Artifact rejection method included epoch rejections based on the partial signal space projection method for eye blink and ocular corrections (Dong et al., 2010), a voltage step of more than 75 mV between sample points, a peak-to-peak voltage difference of 150 mV within an epoch, as well as visual…”
MethodA Short Summary of Neuroscientific Findings on Internet Addiction
Montag, C., Duke, É., & Reuter, M. (2017) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-319-46276-9_12 · Cited by 18
Fathi, M., Mazhari, S., Pourrahimi, A. M., Poormohammad, A., & Sardari, S. (2022) · Brain and Behavior · doi:10.1002/brb3.2584 · Cited by 16
“P3 stop reflects the mechanisms involved in withholding a prepotent motor response (Dong et al., 2010).”
BackgroundResultTheta oscillations in prolactinomas: Neurocognitive deficits in executive controls
Cao, C., Wen, W., Liu, B., Ma, P., Li, S., Xu, G., & Song, J. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102455 · Cited by 15
“N200 and P300 are widely used for the assessment of response control in Go/ Nogo tasks (Detandt et al., 2017; Dong et al., 2010; Huster et al., 2013; Oddy and Barry, 2009; Pfefferbaum et al., 1985).”
MethodDoes chronic smoking affect performance on a go/no-go task?
Silva, G. M., de Almeida, N. L. P., Souto, J. J. S., Rodrigues, S. J., Fernandes, T. P., & dos Santos, N. A. (2021) · Current Psychology · doi:10.1007/s12144-020-01305-y · Cited by 16
Theoretical Models of the Development and Maintenance of Internet Addiction
Brand, M. (2017) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-319-46276-9_2 · Cited by 15
“Results regarding inhibitory control in Internet-addicted individuals are mixed (Sun et al. 2009; Dong et al. 2010, 2011, 2013).”
BackgroundTereshchenko, S. Y., & Smolnikova, M. V. (2020) · Social Psychology and Society · doi:10.17759/sps.2020110104 · Cited by 48
“Кроме того, анализ потенциалов электроэнцефалограммы, ассоциированных с событием (event-related potentials), показал увеличение времени реакции, что может быть ассоциировано с нарушением произвольной регуляции [16].”
Chen, Y., Yu, H., & Gao, X. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192316264 · Cited by 13
“Previous studies have found smaller nogo-N2 amplitudes and larger nogo-P3 amplitudes in Internet addicts compared with normal controls [21,57].”
BackgroundResultTseng, Y., Su, Y.-K., Chou, W., Miyakoshi, M., Tsai, C., Li, C., Lee, S.-Y., & Wang, L. (2024) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2024.3363756 · Cited by 14
Schwarz, J., Gertzen, M., Rabenstein, A., Strasburger, M., Horstmann, A., Pogarell, O. M., Rüther, T., & Karch, S. (2024) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-024-01856-2 · Cited by 14
“Blunted N2 amplitudes, particularly during the NoGo condition, have been found in people with addictions to heroin [40], nicotine [41] and even internet [42, 43].”
Yu, F., Li, J., Xu, L., Zheng, X., Fu, M., Li, K., Yao, S., Kendrick, K. M., Montag, C., & Becker, B. (2022) · Journal of Behavioral Addictions · doi:10.1556/2006.2022.00078 · Cited by 12
“Several of the early studies employ sample sizes between 20 to 30, or often less than 20 per group (Cheng & Liu, 2020; Dong et al., 2010; Lorenz et al., 2013), which permits statistical detection power to be achieved but at the cost of sacrificing clinical significance.”
BackgroundDubuson, M., Noël, X., Kornreich, C., Hanak, C., Saeremans, M., & Campanella, S. (2023) · Biology · doi:10.3390/biology12050643 · Cited by 15
“Such data are perfectly matched with the dual theory idea and existing previous data [25,27,49] suggesting that the inhibitory skills of GD patients specifically decreased in a gaming context.”
ResultEffect of digital natives on executive function: The mediating role of problematic Internet use
Zhao, G., Liu, J., & Zhang, H. (2024) · Children and Youth Services Review · doi:10.1016/j.childyouth.2024.107659 · Cited by 12
Internet Use in Young Adult Males: from the Perspective of Pursuing Well-Being
Ouyang, Z., Wang, Y., & Yu, H. (2016) · Current Psychology · doi:10.1007/s12144-016-9473-8 · Cited by 11
Xu, Y., & Tian, Y. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1301198 · Cited by 10
“This is because they had to engage in more cognitive endeavors to complete the inhibition task in the late stage (37).”
BackgroundEffect of excessive internet gaming on inhibitory control based on resting EEG and ERP
Xu, J., Shen, L. H., Fei, H., Zhou, W., Wan, F., & Nan, W. (2024) · iScience · doi:10.1016/j.isci.2024.110399 · Cited by 10
“7–11 For instance, compared with non-gamers, participants with IGD showed a deficiency in response, working memory, and processes related to inhibitory control.”
Li, C., McHaney, K. M., Sederberg, P. B., & Cang, J. (2022) · eNeuro · doi:10.1523/eneuro.0419-22.2022 · Cited by 10
“Such tasks have thus become more suitable for studying impulsion and inhibition (Eagle et al., 2008; Dong et al., 2010; na Ding et al., 2014).”
BackgroundEvren, B., Dalbudak, E., Evren, C., & Ozen, S. (2018) · Psychiatry and Clinical Psychopharmacology · doi:10.1080/24750573.2018.1505422 · Cited by 10
“In addition, these students showed less efficiency in information processing and lower impulse control than their normal peers [46].”
BackgroundAdicciones a internet y funciones ejecutivas en estudiantes universitarios: una revisión sistemática
Bernabéu Brotóns, E., Marchena Giráldez, C. A., González Pizzio, A., & Lubrini, G. (2020) · Electronic Journal of Research in Education Psychology · doi:10.25115/ejrep.v18i52.3346 · Cited by 8
“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), encontrándose en algunos casos un mejor control inhibitorio en los sujetos adictos para estímulos con carácter de recompensa…”
BackgroundSprawność intelektualna osób o odmiennych chronotypach
Jankowski, K. S. (2021) · Wydawnictwo Liberi Libri eBooks · doi:10.47943/lib.9788363487515.rozdzial10 · Cited by 8
Inteligencja a funkcjonowanie w bliskich związkach
Leniarska, M., & Zajenkowski, M. (2021) · Wydawnictwo Liberi Libri eBooks · doi:10.47943/lib.9788363487515.rozdzial11 · Cited by 8
Inteligencja a agresja. Czy wysokie IQ może uchronić przed wkroczeniem na ścieżkę przestępczą?
Bodecka-Zych, M. (2021) · Wydawnictwo Liberi Libri eBooks · doi:10.47943/lib.9788363487515.rozdzial03 · Cited by 8
Inteligentny sport: o związkach inteligencji z aktywnością fizyczną i poziomem wykonania sportowego
Waleriańczyk, W., & Stolarski, M. (2021) · Wydawnictwo Liberi Libri eBooks · doi:10.47943/lib.9788363487515.rozdzial09 · Cited by 8
Qi, Y., Liu, Y., Yan, Z., Zhang, X., & He, Q. (2023) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2023.111686 · Cited by 9
Neuropsychologie der pathologischen Internetnutzung
Brand, M., & Laier, C. (2013) · SUCHT - Zeitschrift für Wissenschaft und Praxis / Journal of Addiction Research and Practice · doi:10.1024/0939-5911.a000246 · Cited by 9
Wegmann, E., Brand, M., Snagowski, J., & Schiebener, J. (2016) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2016.1201461 · Cited by 11
“Furthermore, the reaction time of Go trials (reaction time for correct reactions) and NoGo trials (reaction time for false reactions) is used as well (Dong et al., 2010; Goudriaan et al., 2005; Verdejo-García & Pérez-García, 2007).”
MethodFunctional Imaging of Internet Gaming Disorder
Ko, C., Liu, G., & Yen, J. (2015) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-319-07242-5_3 · Cited by 10
A Review of Cognitive Neuroscience Studies on Internet Addiction
Niu, G., Sun, X., Zhou, Z., & Hua, W. E. I. (2013) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2013.01104 · Cited by 9
Problematic social media use in youths cause response inhibition impairment
Gou, S., Yuan, R., Zhang, W., Tang, Y., & Zhang, W. (2023) · Current Psychology · doi:10.1007/s12144-023-05425-z · Cited by 11
“Conversely, other relevant studies (Ding et al., 2014; Dong et al., 2010; Sun et al., 2009) utilizing the traditional Go/No Go task on individuals exhibiting non-specific problematic Internet use did not observe a decline in correct accuracy in either Go or No-Go trials for excessive users in…”
Ingels, A., Fabry, L., Hanak, C., Hanard, F., Kajosch, H., Kornreich, C., & Campanella, S. (2022) · Archives of Clinical and Medical Case Reports · doi:10.26502/acmcr.96550561 · Cited by 7
“This could be explained by the neurotoxic effects of her long-term alcohol consumption on the central nervous system, such as brain atrophy and/ or dysfunction that are correlated with the lifetime dose of ethanol consumed [56,57] or by her current anti-craving medication.”
Background
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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