ArticleScientific reports2018
Automatic detection advantage of network information among Internet addicts: behavioral and ERP evidence.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Unconscious effects of addiction-specific attentional bias and the wanting-liking imbalance in smoking: a visual mismatch negativity study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026Article
- Problematic internet users develop enhanced perceptual processing to offset neural deficits in conflict monitoring.Scientific reports · 2026Article
- Dysfunctional reward processing amplifies stress-related smartphone overuse: Evidence from ERPs and ecological momentary assessment.Journal of behavioral addictions · 2025Article
- Temporal dynamics in attentional bias toward shopping cues among problematic online shoppers.Journal of behavioral addictions · 2025Article
- Attentional Bias for Internet-Related Information and Emotional Information in Internet Addiction: Moderating Role of Sleep Quality.International journal of behavioral medicine · 2025Article
- Temporal attentional bias to visual game stimuli in Internet gaming disorder.Journal of behavioral addictions · 2025Article
- Compulsivity-related behavioral features of problematic usage of the internet: A scoping review of paradigms, progress, and perspectives.Journal of behavioral addictions · 2024Article
- Biased processing of game-related information in problematic mobile gaming users.Journal of behavioral addictions · 2023Article
- Automatic change detection: Mismatch negativity and the now-classic Rensink, O'Reagan, and Clark (1997) stimuli.Frontiers in psychology · 2022Article
- Visual Mismatch Negativity: A Mini-Review of Non-pathological Studies With Special Populations and Stimuli.Frontiers in human neuroscience · 2021Review
- Automatic Processing Advantage of Cartoon Face in Internet Gaming Disorder: Evidence From P100, N170, P200, and MMN.Frontiers in psychiatry · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Converging evidence has proved the attentional bias of Internet addicts (IAs) on network information. However, previous studies have neither explained how characteristics of network information are detected by IAs with priority nor proved whether this advantage is in line with the unconscious and automatic process. To answer the two questions, this study aims to investigate whether IAs prioritize automatic detection of network information from the behavior and cognitive neuroscience aspects. 15 severe IAs and 15 matching healthy controls were selected using Internet Addiction Test (IAT). Dot-probe task with mask was used in the behavioral experiment, while deviant-standard reverse oddball paradigm was used in the event-related potential (ERP) experiment to induce mismatch negativity (MMN). In the dot-probe task, when the probe location appeared on the Internet-related picture's position, the IAs had significantly shorter reaction time than do the controls; in the ERP experiment, when Internet-related picture appeared, MMN was significantly induced in the IAs relative to the controls. Both experiments show that IAs can automatically detect network information.
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