Efficient Characterization and Classification of Contrast Sensitivity Functions in Aging.
Efficient Characterization and Classification of Contrast Sensitivity Functions in Aging.
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老化过程中对比敏感度函数的有效表征和分类
DOI：
10.1038/s41598-017-05294-0
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发表时间：
2017-07-11
影响因子：
4.6
通讯作者：
Huang CB
中科院分区：
文献类型：
--
作者：
Yan FF;Hou F;Lu ZL;Hu X;Huang CB
对比敏感度函数(CSF)描述了空间频率范围内的对比敏感度，提供了空间视觉的全面表征和许多生理和病理过程的敏感度测试。为老龄化人口提供一种精确的脑脊液测量工具具有重要的理论和实践意义。在目前的研究中，我们测试了新开发的快速CSF方法的假设是否有效，以及它是否可以快速、可靠和有效地评估老龄化人口中的CSF。快速CSF方法将贝叶斯自适应推理与信息增益策略相结合，直接估计定义观察者CSF的四个参数。18名年轻观察员和25名老年观察员参加了对快速脑脊液方法的评估。所有观察者都接受了眼科和精神疾病的筛查。结果表明，快速Ψ法与传统CSF法所得结果吻合较好，具有良好的重测信度。更重要的是，快速脑脊液检测方法可以准确检测出青年组和老年组之间的CSF差异。老化会显著降低对比敏感度。在老龄化人口中，快速脑脊液方法在实验室研究和临床应用方面显示出巨大的潜力。
The contrast sensitivity function (CSF), delineating contrast sensitivity over a wide range of spatial frequencies, provides a comprehensive characterization of spatial vision and a sensitive test for many physiological and pathological processes. A precise CSF measurement tool for the aging population is of great theoretical and practical importance. In the current study, we tested whether the assumptions of the newly developed quick CSF method were valid and whether it can rapidly, reliably, and effectively evaluate CSFs in the aging population. The quick CSF method combines Bayesian adaptive inference with an information gain strategy to directly estimate four parameters that define the observer’s CSF. Eighteen young and twenty-five old observers participated in the evaluation of the quick CSF method. All observers were screened for ophthalmological and mental diseases. Our results showed that the CSFs derived from the quick CSF method well matched with those from the traditional Ψ method, with excellent test-retest reliability. More importantly, the quick CSF method can accurately detect the difference of CSFs between the young and old groups. Aging significantly degrades contrast sensitivity. The quick CSF method demonstrates great potentials for both laboratory research and clinical applications in the aging population.
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影响因子：
1.8
作者：
Betts, Lisa R.;Sekuler, Allison B.;Bennett, Patrick J.
通讯作者：
Bennett, Patrick J.
影响因子：
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作者：
Pelli, DG
通讯作者：
Pelli, DG
影响因子：
1.8
作者：
Bennett, Patrick J.;Sekuler, Robert;Sekuler, Allison B.
通讯作者：
Sekuler, Allison B.
影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
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