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20/20的视力就足够好了吗?正常范围内的视力差异可预测轮廓元素的检测和整合。

Is 20/20 vision good enough? Visual acuity differences within the normal range predict contour element detection and integration.

作者信息

Keane Brian P, Kastner Sabine, Paterno Danielle, Silverstein Steven M

机构信息

Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, NJ, USA,

出版信息

Psychon Bull Rev. 2015 Feb;22(1):121-7. doi: 10.3758/s13423-014-0647-9.

Abstract

Contour integration (CI) combines appropriately aligned and oriented elements into continuous boundaries. Collinear facilitation (CF) occurs when a low-contrast oriented element becomes more visible when flanked by collinear high-contrast elements. Both processes rely at least partly on long-range horizontal connections in early visual cortex, and thus both have been extensively studied to understand visual cortical functioning in aging, development, and clinical disorders. Here, we ask: Can acuity differences within the normal range predict CI or CF? To consider this question, we measured binocular visual acuity and compared subjects with 20/20 vision to those with better-than-20/20 vision (SharpPerceivers) on two tasks. In the CI task, subjects located an integrated shape embedded in varying amounts of noise; in the CF task, subjects detected a low-contrast element flanked by collinear or orthogonal high-contrast elements. In each case, displays were scaled in size to modulate element visibility and spatial frequency (4-12 cycles/deg). SharpPerceivers could integrate contours under noisier conditions than the 20/20 group (p = .0002), especially for high spatial frequency displays. Moreover, although the two groups exhibited similar collinear facilitation, SharpPerceivers could detect the central target with lower contrast at high spatial frequencies (p <. 05). These results suggest that small acuity differences within the normal range--corresponding to about a one line difference on a vision chart--strongly predict element detection and integration. Furthermore, simply ensuring that subjects have normal or corrected-to-normal vision is not sufficient when comparing groups on contour tasks; visual acuity confounds also need to be ruled out.

摘要

轮廓整合(CI)将适当对齐和定向的元素组合成连续的边界。共线促进(CF)是指当一个低对比度的定向元素被共线的高对比度元素包围时,它会变得更加明显。这两个过程至少部分依赖于早期视觉皮层中的长距离水平连接,因此,为了理解衰老、发育和临床疾病中的视觉皮层功能,对它们都进行了广泛的研究。在这里,我们提出问题:正常范围内的视力差异能否预测CI或CF?为了探讨这个问题,我们测量了双眼视力,并在两项任务中将视力为20/20的受试者与视力优于20/20的受试者(敏锐感知者)进行了比较。在CI任务中,受试者要找出嵌入不同程度噪声中的整合形状;在CF任务中,受试者要检测被共线或正交高对比度元素包围的低对比度元素。在每种情况下,显示的大小都进行了缩放,以调节元素的可见性和空间频率(4-12周/度)。与20/20组相比,敏锐感知者能够在噪声更大的条件下整合轮廓(p = 0.0002),尤其是对于高空间频率显示。此外,尽管两组表现出相似的共线促进作用,但敏锐感知者能够在高空间频率下以较低的对比度检测到中央目标(p < 0.05)。这些结果表明,正常范围内的微小视力差异——相当于视力表上大约一行的差异——能有力地预测元素检测和整合。此外,在比较轮廓任务中的组时,仅仅确保受试者有正常视力或矫正至正常视力是不够的;还需要排除视力混淆因素。

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