Department of Information and Communications Engineering, School of Engineering, Tokyo Institute of Technology, 4259-G2-3 Nagatsuta-Cho, Midori-Ku, Yokohama 226-8502, Japan.
Department of Information and Communications Engineering, School of Engineering, Tokyo Institute of Technology, 4259-G2-3 Nagatsuta-Cho, Midori-Ku, Yokohama 226-8502, Japan.
Vision Res. 2020 May;170:35-45. doi: 10.1016/j.visres.2020.03.008. Epub 2020 Mar 31.
Previous studies show that the amplitude of pupillary light response (PLR) depends on the corneal flux density (CFD), which is the product of stimulus area by luminance. However, the contribution of CFD has been investigated only when the stimulus was centered on the fovea, whereas perceived luminance to pupillary response would reduce with stimulus eccentricity. Additionally, it has been shown recently that attentional state modulates pupillary response. In this study, we aimed to clarify the complete mechanisms of PLR by manipulating the stimulus size, eccentricity, luminance, and the participants' attentional states. We focused on four indices to examine PLR, that is, pupillary latency (PL), maximum constriction velocity (MCV), maximum constriction (MC), and mean pupil change (MPC). Results showed that PL was a function of CFD, whereas MCV, MC, and MPC were functions of both CFD and stimulus eccentricity. Furthermore, the magnitude of effect due to stimulus eccentricity for MCV and MC was different from that for MPC. These results provided new evidence that the different processing systems in PLR existed.
先前的研究表明，瞳孔光反应（PLR）的幅度取决于角膜光通量密度（CFD），它是刺激区域和亮度的乘积。然而，CFD 的贡献仅在刺激集中在中央凹时进行了研究，而瞳孔对刺激的反应亮度会随刺激的偏心度而降低。此外，最近的研究表明，注意状态会调节瞳孔反应。在这项研究中，我们旨在通过操纵刺激大小、偏心度、亮度和参与者的注意状态来阐明 PLR 的完整机制。我们重点关注四个指标来检查 PLR，即瞳孔潜伏期（PL）、最大收缩速度（MCV）、最大收缩（MC）和平均瞳孔变化（MPC）。结果表明，PL 是 CFD 的函数，而 MCV、MC 和 MPC 是 CFD 和刺激偏心度的函数。此外，MCV 和 MC 由于刺激偏心度引起的效应幅度与 MPC 不同。这些结果提供了新的证据，表明 PLR 中存在不同的处理系统。
