Núcleo de Teoria e Pesquisa do Comportamento, Universidade Federal do Pará, Av. Generalissimo Deodoro 92, Umarizal, Belém, 66055-240, Brazil.
Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil.
Sci Rep. 2022 Apr 4;12(1):5603. doi: 10.1038/s41598-022-09531-z.
Color vision tests use estimative of threshold color discrimination or number of correct responses to evaluate performance in chromatic discrimination tasks. Both approaches have advantages and disadvantages. In the present investigation, we compared the number of errors during color discrimination task in normal trichromats and participants with color vision deficiency (CVD) using pseudoisochromatic stimuli at fixed saturation levels. We recruited 28 normal trichromats and eight participants with CVD. Cambridge Color Test was used to categorize their color vision phenotype, and those with a phenotype suggestive of color vision deficiency had their L- and M-opsin genes genotyped. Pseudoisochromatic stimuli were shown with target chromaticity in 20 vectors radiating from the background chromaticity and saturation of 0.06, 0.04, 0.03, 0.02, 0.01, and 0.005 u'v' units. Each stimulus condition appeared in four trials. The number of errors for each stimulus condition was considered an indicator of the participant's performance. At high chromatic saturation, there were fewer errors from both phenotypes. The errors of the normal trichromats had no systematic variation for high saturated stimuli, but below 0.02 u'v' units, there was a discrete prevalence of tritan errors. For participants with CVD, the errors happened mainly in red-green chromatic vectors. A three-way ANOVA showed that all factors (color vision phenotype, stimulus saturation, and chromatic vector) had statistically significant effects on the number of errors and that stimulus saturation was the most important main effect. ROC analysis indicated that the performance of the fixed saturation levels to identify CVD was better between 0.02 and 0.06 u'v' units reaching 100%, while saturation of 0.01 and 0.005 u'v' units decreased the accuracy of the screening of the test. We concluded that the color discrimination task using high saturated stimuli separated normal trichromats and participants with red-green color vision deficiencies with high performance, which can be considered a promising method for new color vision tests based in frequency of errors.
色彩视觉测试使用阈值色彩辨别估计或正确响应的数量来评估色彩辨别任务中的表现。这两种方法都有优缺点。在本研究中,我们比较了正常三原色体和色觉缺陷(CVD)患者在固定饱和度水平下使用假同色刺激进行色觉辨别任务时的错误数量。我们招募了 28 名正常三原色体和 8 名色觉缺陷患者。使用剑桥颜色测试对他们的色觉表型进行分类,那些表现出色觉缺陷表型的人对其 L 和 M 视蛋白基因进行了基因型分析。假同色刺激以目标色度在背景色度和饱和度为 0.06、0.04、0.03、0.02、0.01 和 0.005 u'v' 单位的 20 个矢量从背景色度辐射。每个刺激条件出现四次。每个刺激条件的错误数量被认为是参与者表现的指标。在高色度饱和度下,两种表型的错误都较少。正常三原色体的错误对于高饱和度的刺激没有系统的变化,但在 0.02 u'v' 单位以下,存在离散的蓝黄色错误。对于色觉缺陷患者,错误主要发生在红绿色的色觉矢量上。三因素方差分析表明,所有因素(色觉表型、刺激饱和度和色觉矢量)对错误数量都有统计学显著影响,而刺激饱和度是最重要的主要影响因素。ROC 分析表明,在 0.02 和 0.06 u'v' 单位之间,固定饱和度水平识别色觉缺陷的性能更好,达到 100%,而 0.01 和 0.005 u'v' 单位的饱和度降低了测试筛选的准确性。我们得出结论,使用高饱和度刺激的色彩辨别任务可以很好地区分正常三原色体和红绿色觉缺陷患者,具有较高的性能,这可以被认为是一种基于错误频率的新色觉测试的有前途的方法。