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• W2806802023 abstract "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." @default.
• W2806802023 created "2018-06-13" @default.
• W2806802023 creator A5012959312 @default.
• W2806802023 creator A5023687324 @default.
• W2806802023 creator A5085973985 @default.
• W2806802023 creator A5087203205 @default.
• W2806802023 date "2018-06-12" @default.
• W2806802023 modified "2023-10-12" @default.
• W2806802023 title "Automatic detection advantage of network information among Internet addicts: behavioral and ERP evidence" @default.
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• W2806802023 doi "https://doi.org/10.1038/s41598-018-25442-4" @default.
• W2806802023 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5997741" @default.
• W2806802023 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29895830" @default.
• W2806802023 hasPublicationYear "2018" @default.
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