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瞳孔测量作为不同注意网络的综合读出指标。

Pupillometry as an integrated readout of distinct attentional networks.

机构信息

Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands.

Institute of Cognitive Neuroscience, National Central University, Taoyuan City, Taiwan; Cognitive Intelligence and Precision Healthcare Center, National Central University, Taoyuan City, Taiwan.

出版信息

Trends Neurosci. 2022 Aug;45(8):635-647. doi: 10.1016/j.tins.2022.05.003. Epub 2022 Jun 1.

Abstract

The course of pupillary constriction and dilation provides an easy-to-access, inexpensive, and noninvasive readout of brain activity. We propose a new taxonomy of factors affecting the pupil and link these to associated neural underpinnings in an ascending hierarchy. In addition to two well-established low-level factors (light level and focal distance), we suggest two further intermediate-level factors, alerting and orienting, and a higher-level factor, executive functioning. Alerting, orienting, and executive functioning - including their respective underlying neural circuitries - overlap with the three principal attentional networks, making pupil size an integrated readout of distinct states of attention. As a now widespread technique, pupillometry is ready to provide meaningful applications and constitutes a viable part of the psychophysiological toolbox.

摘要

瞳孔收缩和扩张的过程为大脑活动提供了一种易于获取、成本低廉且非侵入性的读数。我们提出了一种新的影响瞳孔的因素分类法,并将这些因素与相关的神经基础联系起来,形成一个上升的层次结构。除了两个成熟的低级因素(光水平和焦点距离)外,我们还建议了另外两个中级因素,即警觉和定向,以及一个高级因素,即执行功能。警觉、定向和执行功能——包括它们各自的基础神经回路——与三个主要的注意力网络重叠,使瞳孔大小成为注意力不同状态的综合读数。作为一种现在广泛应用的技术,瞳孔测量术已经准备好提供有意义的应用,并构成了心理生理学工具包的一个可行部分。

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