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不同亮度和纹理定义的学龄儿童对比敏感度曲线。

Different luminance- and texture-defined contrast sensitivity profiles for school-aged children.

机构信息

Perceptual Neuroscience Lab (PNLab) for Autism and Development, Department of Education and Counselling Psychology, McGill University, 3700 McTavish Street, Montreal, QC, H3A 1Y2, Canada.

MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.

出版信息

Sci Rep. 2020 Aug 3;10(1):13039. doi: 10.1038/s41598-020-69802-5.

Abstract

Our current understanding of how the visual brain develops is based largely on the study of luminance-defined information processing. This approach, however, is somewhat limiting, since everyday scenes are composed of complex images, consisting of information characterized by physical attributes relating to both luminance and texture. Few studies have explored how contrast sensitivity to texture-defined information develops, particularly throughout the school-aged years. The current study investigated how contrast sensitivity to luminance- (luminance-modulated noise) and texture-defined (contrast-modulated noise) static gratings develops in school-aged children. Contrast sensitivity functions identified distinct profiles for luminance- and texture-defined gratings across spatial frequencies (SFs) and age. Sensitivity to luminance-defined gratings reached maturity in childhood by the ages of 9-10 years for all SFs (0.5, 1, 2, 4 and 8 cycles/degree or cpd). Sensitivity to texture-defined gratings reached maturity at 5-6 years for low SFs and 7-8 years for high SFs (i.e., 4 cpd). These results establish that the processing of luminance- and texture-defined information develop differently as a function of SF and age.

摘要

我们目前对于视觉大脑如何发育的理解主要基于对亮度定义信息处理的研究。然而,这种方法有些局限性,因为日常场景由复杂的图像组成,这些图像包含与亮度和纹理相关的物理属性的信息。很少有研究探索纹理定义信息的对比度灵敏度是如何发展的,特别是在整个学龄期。本研究调查了学龄儿童对亮度定义(亮度调制噪声)和纹理定义(对比度调制噪声)静态光栅的对比度灵敏度如何随空间频率(SF)和年龄发展。对比度灵敏度函数在 SF 和年龄上为亮度和纹理定义的光栅确定了不同的轮廓。所有 SF(0.5、1、2、4 和 8 个周期/度或 cpd)的亮度定义光栅的灵敏度在 9-10 岁时达到儿童期成熟。纹理定义光栅的灵敏度在低 SF 时为 5-6 岁,在高 SF 时为 7-8 岁(即 4 cpd)。这些结果表明,亮度和纹理定义信息的处理随着 SF 和年龄的变化而不同。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d25/7400652/e2e6d4e68bde/41598_2020_69802_Fig1_HTML.jpg

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