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Erratum: Balconi, M.; et al. Evidences from Rewarding System, FRN and P300 Effect in Internet-Addiction in Young People SHORT TITLE: Rewarding System and EEG in Internet-Addiction Brain Sciences 2017, 7, 81
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Erratum published on 11 September 2017, see Brain Sci. 2017, 7(9), 116.

Open AccessArticle
Brain Sci. 2017, 7(7), 81; doi:10.3390/brainsci7070081

Evidences from Rewarding System, FRN and P300 Effect in Internet-Addiction in Young People

1
Research Unit in Affective and Social Neuroscience, Department of Psychology, Catholic University of the Sacred Heart, 20123 Milan, Italy
2
Department of Psychology, Catholic University of the Sacred Heart, Milan Largo Gemelli, 1, 20123 Milan, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Hillary Wehe
Received: 23 May 2017 / Revised: 29 June 2017 / Accepted: 6 July 2017 / Published: 12 July 2017
(This article belongs to the Special Issue Neurological Research on Learning, Reward and Decision Making)
View Full-Text   |   Download PDF [1297 KB, uploaded 14 September 2017]   |  

Abstract

The present research explored rewarding bias and attentional deficits in Internet addiction (IA) based on the IAT (Internet Addiction Test) construct, during an attentional inhibitory task (Go/NoGo task). Event-related Potentials (ERPs) effects (Feedback Related Negativity (FRN) and P300) were monitored in concomitance with Behavioral Activation System (BAS) modulation. High-IAT young participants showed specific responses to IA-related cues (videos representing online gambling and videogames) in terms of cognitive performance (decreased Response Times, RTs; and Error Rates, ERs) and ERPs modulation (decreased FRN and increased P300). Consistent reward and attentional biases was adduced to explain the cognitive “gain” effect and the anomalous response in terms of both feedback behavior (FRN) and attentional (P300) mechanisms in high-IAT. In addition, BAS and BAS-Reward subscales measures were correlated with both IAT and ERPs variations. Therefore, high sensitivity to IAT may be considered as a marker of dysfunctional reward processing (reduction of monitoring) and cognitive control (higher attentional values) for specific IA-related cues. More generally, a direct relationship among reward-related behavior, Internet addiction and BAS attitude was suggested. View Full-Text
Keywords: Internet addiction; IAT; FRN; P300; BAS; reward bias; attention Internet addiction; IAT; FRN; P300; BAS; reward bias; attention
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Balconi, M.; Venturella, I.; Finocchiaro, R. Evidences from Rewarding System, FRN and P300 Effect in Internet-Addiction in Young People
. Brain Sci. 2017, 7, 81.

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