Automatic detection advantage of problematic Internet users for Wi-Fi signal cues and the moderating effect of negative affect: An event-related potential study

Nie, Yufeng; Pan, Ting; Zheng, Yang; He, Jinbo

doi:10.1016/j.addbeh.2019.106084

Cited by 1 publication

(1 citation statement)

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“…Visual MMN has typically been observed in response to infrequent deviations in a task-irrelevant oddball sequence (73). And because of the salience of addictive cues, IGD individuals tend to show greater MMN on online game cues (63, 74). Compared with the control group, IGD subjects showed an upward trend in the later processing of MMN, which may indicate that they have difficulties to separate from the automatic processing of addiction cues (10).…”

Section: Discussionmentioning

confidence: 99%

Automatic Processing Advantage of Cartoon Face in Internet Gaming Disorder: Evidence From P100, N170, P200, and MMN

Zheng

Fan

et al. 2019

Front. Psychiatry

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Individuals with Internet gaming disorder (IGD) show deficits in face processing due to long-term Internet-game social activities based on cartoon faces in the popular online game "Strike of Kings." However, the abnormal neurocognitive mechanism of face recognition and processing in individuals with IGD has not been systematically explored. This study used event-related potential (ERP) methods and the reversed deviant-standard oddball paradigm to comprehensively compare four ERP components, namely, P100, N170, P200, and mismatch negativity (MMN), induced in the unconscious and automatic processing of realistic and cartoon faces in individuals with IGD. Results showed that, with respect to cartoon faces, individuals with IGD exhibited not only P100, P200 and MMN enhancements but also the absence of the N170 dominance effect in the left hemisphere. Our results also demonstrated that individuals with IGD had the advantages of early automatic perception of cartoon faces and automatic detection of changes in "cartoon" features. This study enhances our understanding of the mechanism of IGD from the neurocognitive perspective and provides candidate electrophysiological indicators for the clinical diagnosis of IGD.

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Section: Discussionmentioning

confidence: 99%