Arora Swasti, Lawrence Michael A, Klein Raymond M
Department of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada.
Front Psychol. 2020 Mar 27;11:388. doi: 10.3389/fpsyg.2020.00388. eCollection 2020.
Attention is a central component of cognitive and behavioral processes and plays a key role in basic and higher-level functioning. Posner's model of attention describes three components or networks of attention: the alerting, which involves high intensity states of arousal; the orienting, which involves the selective direction of attention; and the executive control, which involves cognitive functions such as conflict resolution and working memory. The Attention Network Test (ANT) is a computerized testing measure that was developed to measure these three networks of attention. This project describes the ANT, its widely used variants, and the recently developed ANT Database, a repository of data extracted from all studies that have used the ANT as of 2019. To illustrate the potential uses of the database, two meta-analyses conducted using the ANT Database are described. One explores task performance in children with and without attention deficit/hyperactivity disorder (ADHD). The other one explores regional differences between studies conducted in China, Europe, and the United States. We are currently in the process of integrating the database into a publicly available web interface. When that work is complete, researchers, clinicians, and the general public will be able to use the database to explore topics of interest related to attention.
注意力是认知和行为过程的核心组成部分,在基础和高级功能中发挥着关键作用。波斯纳的注意力模型描述了注意力的三个组成部分或网络:警觉网络,涉及高强度的唤醒状态;定向网络,涉及注意力的选择性指向;执行控制网络,涉及诸如冲突解决和工作记忆等认知功能。注意力网络测试(ANT)是一种计算机化测试手段,旨在测量这三个注意力网络。本项目介绍了ANT、其广泛使用的变体以及最近开发的ANT数据库,该数据库是截至2019年从所有使用ANT的研究中提取的数据存储库。为了说明该数据库的潜在用途,描述了使用ANT数据库进行的两项荟萃分析。一项分析探讨了患有和未患有注意力缺陷多动障碍(ADHD)的儿童的任务表现。另一项分析探讨了在中国、欧洲和美国进行的研究之间的区域差异。我们目前正在将该数据库整合到一个公开可用的网络界面中。这项工作完成后,研究人员、临床医生和普通公众将能够使用该数据库来探索与注意力相关的感兴趣的话题。