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An event-related potential investigation of deficient inhibitory control in individuals with pathological Internet use

Published online by Cambridge University Press:  24 June 2014

Zhen-He Zhou
Affiliation:
Department of Psychology, Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, China
Guo-Zhen Yuan
Affiliation:
Department of Psychology, Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, China
Jian-Jun Yao
Affiliation:
Department of Psychology, Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, China
Cui Li
Affiliation:
Department of Psychology, Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, China
Zao-Huo Cheng*
Affiliation:
Department of Psychology, Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, China
*
Professor Zao-huo Cheng, Department of Psychiatry, Wuxi Mental Health Center of Nanjing Medical University, Wuxi 214151, China. Tel: +86 510 13358118986; Fax: +86 510 83015825; E-mail: wuxich102@sohu.com

Abstract

Zhou Z-H, Yuan G-Z, Yao J-J, Li C, Cheng Z-H. An event-related potential investigation of deficient inhibitory control in individuals with pathological Internet use.

Objective:

The purpose of this study was to investigate deficient inhibitory control in individuals with pathological Internet use (PIU) using a visual go/no-go task by event-related potentials (ERPs).

Methods:

Subjects were 26 individuals with PIU and 26 controls. Barratt Impulsiveness Scale-11 (BIS-11) was used for measures of impulsivity. A go/no-go task involved eight different two-digit numerical stimuli. The response window was 1000 ms and the inter-trial-interval (ITI) was 1500 ms. Electroencephalography (EEG) was recorded when participants performed the task. Brain electrical source analysis (BESA) 5.2.0 was used to perform data analysis and the no-go N2 amplitude was analysed for investigation of inhibitory control.

Results:

BIS-11 total scores, attentional key and motor key scores in PIU group were higher than that of the control group. In the go/no-go task, false alarm rate of PIU group was higher, and hit rate was lower than that of the control group. A repeated measure ANOVA revealed a significant group, frontal electrode sites and group × frontal electrode sites main effect for N2 amplitudes of no-go conditions (for group: F = 3953, df = 1, p = 0.000; for frontal electrode sites: F = 541, df = 9, p = 0.000; for group × frontal electrode sites: F = 306, df = 9, p = 0.000), and a significant group, central electrode sites and group × central electrode sites main effect for N2 amplitudes of no-go conditions (for group: F = 9074, df = 1, p = 0.000; for central electrode sites: F = 163, df = 2, p = 0.000; for group × central electrode sites: F = 73, df = 2, p = 0.000). N2 amplitudes of no-go conditions were lower than those at control group.

Conclusions:

Individuals with PIU were more impulsive than controls and shared neuropsychological and ERPs characteristics of compulsive-impulsive spectrum disorder, which supports that PIU is an impulse disorder or at least related to impulse control disorder.

Type
Research Article
Copyright
Copyright © 2010 John Wiley & Sons A/S

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References

Davis, RA.A cognitive-behavioral model of pathological Internet use. Comput Human Behav 2001;17:187195. CrossRefGoogle Scholar
Young, Ks, Rogers, RC.The relationship between depression and Internet addiction. Cyberpsychol Behav 1998;1:25128. CrossRefGoogle Scholar
Finn, PRJustus, A, Mazas, C, Steinmetz, JE.Working memory, executive processes and the effects of alcohol on Go/No-Go learning: testing a model of behavioral regulation and impulsivity. Psychopharmacol 1999;146:465472. CrossRefGoogle Scholar
Block, JJ.Issues for DSM-V: internet addiction. Am J Psychiatry 2008;165:306307. CrossRefGoogle ScholarPubMed
Brard, KW, Wolf, EM.Modification in the proposed diagnostic criteria for Internet addiction. Cyberpsychol Behav 2001;4:377383. CrossRefGoogle Scholar
Shaw, M, Black, DW.Internet addiction: definition, assessment, epidemiology and clinical management. CNS Drugs 2008;22:353365. CrossRefGoogle ScholarPubMed
Patton, JH, Stanford, MS, Barratt, ES.Factor structure of the Barratt impulsiveness scale. J Clin Psychol 1995;51:768774. 3.0.CO;2-1>CrossRefGoogle ScholarPubMed
Pfefferbaum, A, Ford, JM, Weller, BJ, Kopell, BS.ERPs to response production and inhibition. Electroencephalogr Clin Neurophysiol 1985;60:423434. CrossRefGoogle ScholarPubMed
Ruchsow, M, Spitzer, M, Gron, G, Grothe, J, Kiefer, M.Error processing and impulsiveness in normals: evidence from event-related potentials. Brain Res Cogn Brain Res. 2005;24:317325. CrossRefGoogle ScholarPubMed
Bekker, EM, Kenemans, JL, Verbaten, MN, Source analysis of the N2 in a cued Go/No-Go task. Cogn Brain Res 2005;22:221231. CrossRefGoogle Scholar
Bokura, H, Yamaguchi, S, Kobayashi, S.Electrophysiological correlates for response inhibition in a Go/No-Go task. Clin Neurophysiol 2001;112:22242232. CrossRefGoogle Scholar
Veen, V, Carter, CS.The timing of action-monitoring processes in the anterior cingulate cortex. J. Cogn. Neurosci 2002;14:593602. CrossRefGoogle ScholarPubMed
Johnstone, SJ, Barry, RJ, Markovska, V, Dimoska, A, Clarke, AR.Response inhibition and interference control in children with AD/HD: a visual ERP investigation. Int J Psychophysiol 2009;72:145153. CrossRefGoogle ScholarPubMed
Wiersema, JR, Roeyers, HJ.ERP correlates of effortful control in children with varying levels of ADHD symptoms. Abnorm Child Psychol 2009;37:327336. CrossRefGoogle ScholarPubMed
Johstone, SJ, Clarke, AR.Dysfunctional response preparation and inhibition during a visual Go/No-go task in children with two subtypes of attention-deficit hyperactivity disorder. Psychiatry Res 2009;166:223237. CrossRefGoogle Scholar
Smith, JL, Johnstone, SJ, Barry, RJ.Movement-related potentials in the Go/No-Go task: the P3 reflects both cognitive and motor inhibition. Clin Neurophysiol 2008;119:704714. CrossRefGoogle Scholar
Verleger, R, Paehge, T, Kolew, V, Yordanova, J, Jaskowski, P.On the relation of movement-related potentials to the go/no-go effect on P3. Biol Psychol 2006;73:298313. CrossRefGoogle Scholar
Smith, JL, Johnstone, SJ, Barry, RJ.Effects of pre-stimulus processing on subsequent events in a warned Go/No-Go paradigm: response preparation, execution and inhibition. Int J Psychophysiol 2006;61:121133. CrossRefGoogle Scholar
Kamarejan, C, Porjesa, B, Jones, KAet al. Alcoholism is a disinhibitory disorder: neurophysiological evidence from a Go/No-Go task. Biol Psychol 2005;69:353373. CrossRefGoogle Scholar
Dong, G, Yang, L, Hu, Y, Jiang, Y.Is N2 associated with successful suppression of behavior responses in impulse control processes? Neuroreport 2009;20:537542. CrossRefGoogle ScholarPubMed
Chen, CY, Tien, YM, Juan, CH, Tzeng, OJ, Hung, DL.Neural correlates of impulsive-violent behavior: an event-related potential study. Neuroreport 2005;16:12131216. CrossRefGoogle ScholarPubMed
Kim, MS, Kim, YY, Yoo, SY, Kwon, JS.Electrophysiological correlates of behavioral response inhibition in patients with obsessive-compulsive disorder. Depress Anxiety 2007;24:2231. CrossRefGoogle ScholarPubMed
Ruchsow, M, Reuter, K, Hermle, L, Ebert, D, Kiefer, M, Falkenstein, M.Executive control in obsessive-compulsive disorder: event-related potentials in a Go/No-go task. J Neural Transm. 2007;114:15951601. CrossRefGoogle Scholar
Kaiser, S, Unger, J, Kiefer, M, Markela, J, Mundt, C, Weisbrod, M.Executive control deficit in depression: event-related potentials in a Go/No-go task. Psychiatry Res 2003;122:169184. CrossRefGoogle Scholar
Annett, MA.Classification of hand preference by association analysis. Br J Psychiatry 1970;61:303321. Google ScholarPubMed
Peter, R, Finn, AJ, Carlos, M, Joseph, ES.Working memory, executive processes and the effects of alcohol on Go/No-Go learning: testing a model of behavioral regulation and impulsivity. Psychopharmacology 1999;146:465472. Google Scholar
Newman, JP.Reaction to punishment in extraverts and psychopaths: implications for the impulsive behavior of disinhibited individuals. J Res Pers 1987;21:464480. CrossRefGoogle Scholar
Sasaki, K, Gemba, H.Electrical activity in the prefrontal cortex specific to no-go reaction of conditioned hand movement in color discrimination in the monkey. Exp Brain Res 1986;64:603606. CrossRefGoogle ScholarPubMed
Kristina, TC, Richard, JH, Lynett, FC.Posterior brain ERP patterns related to the go/no-go task in children. Psychophysiology 2004;41:882892. Google Scholar
Cao, F, Su, L.Internet addiction among Chinese adolescents: prevalence and psychological features. Child Care Health Dev 2007;33:275281. CrossRefGoogle ScholarPubMed
Shapira, NA, Goldsmith, TD, Khosla, UM, Mcelroy, SL.Psychiatric features of individuals with problematic internet use. J Affect Disord 2000;57:267272. CrossRefGoogle ScholarPubMed
Treuer, T, Fabian, Z, Furedi, J.Internet addiction associated with features of impulse control disorder: is it a real psychiatric disorder? J Affect Disord 2001;66:283. CrossRefGoogle ScholarPubMed
Aron, AR.The neural basis of inhibition in cognitive control. Neuroscientist 2007;13:214228. CrossRefGoogle ScholarPubMed
Weisbrod, M, Kiefer, M, Marzinzik, F, Spitzer, M.Executive control is disturbed in schizophrenia: evidence from event-related potentials in a Go/NoGo task. Biol Psychiatry 2000;47:5160. CrossRefGoogle Scholar
Smirth, EE, Jonides, J.Storage and executive processes in the frontal lobes. Science 1999;283:16571661. CrossRefGoogle Scholar
Butters, N, Butter, C, Rosen, J, Stein, D.Behavioral effects of sequential and one-stage ablations of orbital prefrontal cortex in the monkey. Exp Neurol 1973;39:204214. CrossRefGoogle ScholarPubMed
Iversen, SD, Mishkin, M.Perseverative interference in monkeys following selective loss of the inferior prefrontal convexity. Exp Brain Res 1970;11:376386. CrossRefGoogle Scholar
Jaeggi, SM, Seeweer, R, Nirkko, AC, Eckstein, D, Schroth, G, Groner, R, Gutbrod, K.Does excessive memory load attenuate activation in the prefrontal cortex? Load-dependent processing in single and dual tasks: functional magnetic resonance imaging study. Neuroimage 2003;19:210225. CrossRefGoogle ScholarPubMed
Godefroy, O, Rousseaux, M.Divided and focused attention in patients with lesion of the prefrontal cortex. Brain Cogn 1996;30:155174. CrossRefGoogle ScholarPubMed
Paolo, C, Giovanna, R, Roberto, K, Arcangela, D, Laura, B.Frontal lobe dysfunction in pathological gambling patients. Biol Psychiatry 2002;51:334341. Google Scholar
Bruin, Kj, Wijers, AA.Inhibition, response mode, and stimulus probability: A comparative event-related potential study. Clin Neurophysiol 2002;113:11721182. CrossRefGoogle ScholarPubMed
Jodo, E, Kayama, Y.Relation of negative ERP component to response inhibition in a go/no-go task. Electroencephalogr Clin Neurophysiol 1992;82:477482. CrossRefGoogle Scholar
Falkenstein, M, Hoormann, J, Hohnsbein, J.ERP components in the go/no-go tasks and their relation to inhibition. Acta Psychologica 1999;101:267291. CrossRefGoogle Scholar
Proverbio, AM, Del, ZM, Crott, N, Zani, A.A no-go related prefrontal negativity larger to irrelevant stimuli that are difficult to suppress. Behav Brain Funct 2009;5:25. CrossRefGoogle ScholarPubMed