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人类任务诱发的瞳孔反应函数是线性的:对瞳孔测量中基线反应标度的影响。

The human task-evoked pupillary response function is linear: Implications for baseline response scaling in pupillometry.

机构信息

Eleanor M. Saffran Center for Cognitive Neuroscience, Temple University, Philadelphia, PA, USA.

Department of Communication Sciences and Disorders, Temple University, Philadelphia, PA, USA.

出版信息

Behav Res Methods. 2019 Apr;51(2):865-878. doi: 10.3758/s13428-018-1134-4.

Abstract

The human task-evoked pupillary response provides a sensitive physiological index of the intensity and online resource demands of numerous cognitive processes (e.g., memory retrieval, problem solving, or target detection). Cognitive pupillometry is a well-established technique that relies upon precise measurement of these subtle response functions. Baseline variability of pupil diameter is a complex artifact that typically necessitates mathematical correction. A methodological paradox within pupillometry is that linear and nonlinear forms of baseline scaling both remain accepted baseline correction techniques, despite yielding highly disparate results. The task-evoked pupillary response (TEPR) could potentially scale nonlinearly, similar to autonomic functions such as heart rate, in which the amplitude of an evoked response diminishes as the baseline rises. Alternatively, the TEPR could scale similarly to the cortical hemodynamic response, as a linear function that is independent of its baseline. However, the TEPR cannot scale both linearly and nonlinearly. Our aim was to adjudicate between linear and nonlinear scaling of human TEPR. We manipulated baseline pupil size by modulating the illuminance in the testing room as participants heard abrupt pure-tone transitions (Exp. 1) or visually monitored word lists (Exp. 2). Phasic pupillary responses scaled according to a linear function across all lighting (dark, mid, bright) and task (tones, words) conditions, demonstrating that the TEPR is independent of its baseline amplitude. We discuss methodological implications and identify a need to reevaluate past pupillometry studies.

摘要

人类任务诱发的瞳孔反应提供了许多认知过程(例如记忆检索、问题解决或目标检测)的强度和在线资源需求的敏感生理指标。认知瞳孔测量是一种成熟的技术,依赖于对这些微妙反应功能的精确测量。瞳孔直径的基线变异性是一种复杂的伪影,通常需要进行数学校正。瞳孔测量中的一个方法学悖论是,线性和非线性的基线缩放形式都是被接受的基线校正技术,尽管它们产生了非常不同的结果。任务诱发的瞳孔反应 (TEPR) 可能会以非线性方式缩放,类似于自主功能(如心率),其中诱发反应的幅度随着基线的升高而减小。或者,TEPR 可以像皮质血流反应一样作为线性函数进行缩放,与基线无关。然而,TEPR 不能同时以线性和非线性方式缩放。我们的目的是在人类 TEPR 的线性和非线性缩放之间做出裁决。我们通过在参与者听到突然的纯音过渡时(实验 1)或视觉监控单词列表时(实验 2)调节测试室中的照度来操纵基线瞳孔大小。在所有照明(暗、中、亮)和任务(音、词)条件下,相位瞳孔反应都按照线性函数进行缩放,这表明 TEPR 与其基线幅度无关。我们讨论了方法学的影响,并确定需要重新评估过去的瞳孔测量研究。

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