Universidade Federal Fluminense, Rua Desembargador Ellis Hermydio Figueira, Number: 783, Aterrado, Volta Redonda, Rio de Janeiro, 27213-145, Brazil.
Department of Psychology and Neuroscience, 1355 Oxford Street, Dalhousie University, Halifax, NS, B3H 4R2, Canada.
Neurosci Biobehav Rev. 2021 Jul;126:560-572. doi: 10.1016/j.neubiorev.2021.02.028. Epub 2021 Mar 22.
Attention is a pivotal cognitive function and efforts to understand its properties and operations are fundamental. Building upon the best known taxonomy of attention put forward by Posner and colleagues, the Attention Network Test (ANT) was designed to efficiently provide scores that reflect the efficacy of alerting, orienting and executive control. The ANT has not only been very widely adopted by scholars around the world, it has inspired a wide range of variants, the ANTs, - each with its own purpose. This review will describe the origin of the ANT in the taxonomic contributions of Posner and the evolution of the ANTs with some discussion of the nature and rationale for each major variant described here. We briefly allude to minor modifications of the ANT and present some suggestions related to data reporting and data analysis. We end with some projections about the future use of the original ANT and its notable variants.
注意是一种关键的认知功能,对其性质和运作的研究是基础。基于 Posner 及其同事提出的最著名的注意力分类法,注意力网络测试(ANT)旨在有效地提供反映警觉、定向和执行控制效果的分数。ANT 不仅被世界各地的学者广泛采用,还激发了一系列广泛的变体,即 ANTs,每种变体都有其自己的目的。本综述将描述 Posner 的分类学贡献中 ANT 的起源,以及 ANTs 的演变,并对这里描述的每个主要变体的性质和原理进行一些讨论。我们简要提及了 ANT 的一些次要修改,并提出了一些与数据报告和数据分析相关的建议。最后,我们对原始 ANT 及其显著变体的未来使用进行了一些预测。