Preprocessing pupil size data: Guidelines and code.
Preprocessing pupil size data: Guidelines and code.
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DOI：
10.3758/s13428-018-1075-y
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发表时间：
2019-06
影响因子：
5.4
通讯作者：
Sjak-Shie EE
中科院分区：
文献类型：
--
作者：
Kret ME;Sjak-Shie EE
瞳孔测量是心理生理学中使用最广泛的反应系统之一。瞳孔大小的变化可以反映不同的认知和情绪状态，从唤醒、兴趣和努力到社会决策，但它们也广泛用于临床实践中评估患者的大脑功能。因此，几乎所有心理学、精神病学和心理生理学研究期刊都报道了涉及瞳孔大小测量的研究，现在它已进入灵长类动物学文献以及更实际的应用，例如使用瞳孔大小作为疲劳程度或驾驶过程中的安全指数。用于记录瞳孔大小的不同系统几乎与其应用一样变化，并且与许多测量技术一样，除了真实的瞳孔测量数据之外，所有系统都会产生大量的噪声。因此，在分析瞳孔大小之前，首先检测这种噪声并对其进行适当处理至关重要，甚至在（如果需要）对数据进行重新采样和基线校正之前也是如此。在本文中，我们首先对有关瞳孔大小测量的文献进行简短回顾，然后重点介绍最重要的噪声源并展示如何检测这些噪声源。最后，我们提供分步指南，帮助那些对瞳孔大小感兴趣的人正确预处理他们的数据。这些指南附有开源 MATLAB 脚本（可从 https://github.com/ElioS-S/pupil-size 获取）。鉴于瞳孔直径可以通过标准眼动追踪技术轻松测量，并且可以为认知和情感过程提供基本见解，希望本文能够进一步激发不同学科的学者对瞳孔大小的研究。
Pupillometry has been one of the most widely used response systems in psychophysiology. Changes in pupil size can reflect diverse cognitive and emotional states, ranging from arousal, interest and effort to social decisions, but they are also widely used in clinical practice to assess patients’ brain functioning. As a result, research involving pupil size measurements has been reported in practically all psychology, psychiatry, and psychophysiological research journals, and now it has found its way into the primatology literature as well as into more practical applications, such as using pupil size as a measure of fatigue or a safety index during driving. The different systems used for recording pupil size are almost as variable as its applications, and all yield, as with many measurement techniques, a substantial amount of noise in addition to the real pupillometry data. Before analyzing pupil size, it is therefore of crucial importance first to detect this noise and deal with it appropriately, even prior to (if need be) resampling and baseline-correcting the data. In this article we first provide a short review of the literature on pupil size measurements, then we highlight the most important sources of noise and show how these can be detected. Finally, we provide step-by-step guidelines that will help those interested in pupil size to preprocess their data correctly. These guidelines are accompanied by an open source MATLAB script (available at https://github.com/ElioS-S/pupil-size). Given that pupil diameter is easily measured by standard eyetracking technologies and can provide fundamental insights into cognitive and emotional processes, it is hoped that this article will further motivate scholars from different disciplines to study pupil size.
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影响因子：
4.7
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