Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China.
Key Laboratory of Adolescent Cyberpsychology and Behavior of Ministry of Education, Key Laboratory of Human Development and Mental Health of Hubei Province, School of Psychology, Central China Normal University, Wuhan, China.
Addict Behav. 2020 Feb;101:106201. doi: 10.1016/j.addbeh.2019.106201. Epub 2019 Nov 8.
Cognitive bias toward Internet-related cues is an important factor of the formation and maintenance of the addictive behavior of problematic Internet users (PIUs). The development of fiber-optic communication and smartphones has ushered human society into the era of wireless networks. The Wi-Fi signal, the symbol of wireless network connection, represents not only network access but also a channel for communication with others anywhere at any time. Therefore, the Wi-Fi signal cues should be an effective inducer of the addictive behaviors of PIUs. We used images of Wi-Fi signal as Internet-related cues to explore the automatic detection advantage of PIUs for these cues and to determine whether negative affect, another predisposing factor for addiction, can enhance this advantage. We utilized an intergroup design in this study. The PIU and control groups each comprised 30 participants and were randomly assigned to negative or neutral affect priming group. Mismatch negativity (MMN) was induced through the deviant-standard reverse oddball paradigm. Wi-Fi signal cues and neutral cues were used as standard and deviant stimuli, respectively. Results show that the MMN induced by Wi-Fi signal cues in the PIU group was larger than that in the control group. Meanwhile, the MMN induced by Wi-Fi signal cues was considerably enhanced in the PIU group under negative affect priming relative to that in the PIU group under neutral affect priming. Overall, PIUs have an automatic detection advantage for Wi-Fi signal cues, and negative affect can enhance this advantage. Our results suggest that the MMN elicited by Wi-Fi signal cues function as a sensitive neurobiological marker tracing the change of addiction motivation for PIUs.
互联网相关线索的认知偏差是问题性互联网使用者（PIU）成瘾行为形成和维持的一个重要因素。光纤通信和智能手机的发展使人类社会进入了无线网络时代。Wi-Fi 信号，无线网络连接的标志，不仅代表着网络接入，还代表着随时随地与他人交流的渠道。因此，Wi-Fi 信号线索应该是 PIU 成瘾行为的有效诱导物。我们使用 Wi-Fi 信号图像作为互联网相关线索，来探索 PIU 对这些线索的自动检测优势，并确定消极情绪（成瘾的另一个促成因素）是否可以增强这种优势。我们在这项研究中采用了组间设计。PIU 组和对照组各有 30 名参与者，并随机分配到消极或中性情绪启动组。使用偏离-标准反向奇偶刺激范式诱发失匹配负波（MMN）。Wi-Fi 信号线索和中性线索分别作为标准和偏差刺激。结果表明，PIU 组中 Wi-Fi 信号线索诱发的 MMN 大于对照组。同时，在消极情绪启动下，PIU 组中 Wi-Fi 信号线索诱发的 MMN 明显强于中性情绪启动下的 MMN。总体而言，PIU 对 Wi-Fi 信号线索具有自动检测优势，而消极情绪可以增强这种优势。我们的结果表明，Wi-Fi 信号线索诱发的 MMN 可以作为追踪 PIU 成瘾动机变化的敏感神经生物学标志物。
