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Implementation of the diffusion model on dot-probe task performance in children with behavioral inhibition
Psychological Research ( IF 2.424 ) Pub Date : 2021-05-28 , DOI: 10.1007/s00426-021-01532-3
Shane Wise 1 , Cynthia Huang-Pollock 1 , Koraly Pérez-Edgar 1
Affiliation  

Attentional bias to threat, the process of preferentially attending to potentially threatening environmental stimuli over neutral stimuli, is positively associated with behavioral inhibition (BI) and trait anxiety. However, the most used measure of attentional bias to threat, the dot-probe task, has been criticized for demonstrating poor reliability. The present study aimed to assess whether utilizing a sequential sampling model to describe performance could detect adequate test–retest reliability for the dot-probe task, demonstrate stronger cueing effects, and improve the association with neural signals of early attention. One hundred and twenty children aged 9–12 years completed the dot-probe task twice. During the second administration, event-related potentials (ERPs) were obtained as time-sensitive neural markers of attention. BI was not associated with traditional or diffusion model measures of performance. Traditional and diffusion model measures of performance were also not associated with N1, P2, or N2 ERP amplitude. There were main effects of Visit, in which RTs were faster and standard deviation of RT smaller during the second administration due to an increase in drift rate and a decrease in non-decision time. The traditional RT bias score (r = 0.06) and bias scores formed via diffusion model parameters (all r’s < 0.40) all demonstrated poor reliability. Results confirm recommendations to move away from using the dot-probe task as the primary or sole index of attentional bias.



中文翻译:

行为抑制儿童点探测任务绩效扩散模型的实施

对威胁的注意偏见,即优先关注潜在威胁性环境刺激而不是中性刺激的过程,与行为抑制 (BI) 和特质焦虑呈正相关。然而,最常用的威胁注意力偏差测量方法点探测任务因可靠性差而受到批评。本研究旨在评估利用顺序抽样模型来描述性能是否可以检测点探测任务的足够重测可靠性,证明更强的提示效果,并改善与早期注意神经信号的关联。120 名 9-12 岁的儿童两次完成点探测任务。在第二次给药期间,获得事件相关电位 (ERP) 作为时间敏感的注意力神经标记。BI 与传统或扩散模型的性能测量无关。传统和扩散模型的性能测量也与 N1、P2 或 N2 ERP 振幅无关。Visit 的主要影响是,由于漂移率增加和非决策时间减少,第二次给药期间 RT 更快,RT 标准差更小。传统的 RT 偏差分数 (r  = 0.06) 和通过扩散模型参数形成的偏差分数(所有r < 0.40)都表现出较差的可靠性。结果证实了不再使用点探测任务作为注意力偏差的主要或唯一指标的建议。

更新日期:2021-05-28
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