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使用新型枯叶式 ERG 刺激模拟光学模糊的视网膜反应。

Retinal Responses to Simulated Optical Blur Using a Novel Dead Leaves ERG Stimulus.

机构信息

New England College of Optometry, Boston, Massachusetts, United States.

EMEA Scientific Communications - Alcon, Barcelona, Cataluña, Spain.

出版信息

Invest Ophthalmol Vis Sci. 2021 Aug 2;62(10):1. doi: 10.1167/iovs.62.10.1.

DOI:10.1167/iovs.62.10.1
PMID:34338749
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8340654/
Abstract

PURPOSE

The purpose of this study was to evaluate retinal responses to different types and magnitudes of simulated optical blur presented at specific retinal eccentricities using naturalistic images.

METHODS

Electroretinograms (ERGs) were recorded from 27 adults using 30-degree dead leaves naturalistic images, digitally blurred with one of three types of optical blur (defocus, astigmatism, and spherical aberrations), and one of three magnitudes (0.1, 0.3, or 0.5 µm) of blur. Digitally computed blur was applied to the entire image, or on an area outside the central 6 degrees or 12 degrees of retinal eccentricity.

RESULTS

ERGs were significantly affected by blur type, magnitude, and retinal eccentricity. ERGs were differentially affected by defocus and spherical aberrations; however, astigmatism had no effect on the ERGs. When blur was applied only beyond the central 12 degrees eccentricity, the ERGs were unaffected. However, when blur was applied outside the central 6 degrees, the ERG responses were significantly reduced and were no different from the ERGs recorded with entirely blurred images.

CONCLUSIONS

Blur type, magnitude, and location all affect the retinal responses. Our data indicate that the retinal area between 6 and 12 degrees eccentricity has the largest effect on the retinal responses to blur. In addition, certain optical blur types appear to have a more detrimental effect on the ERGs than others. These results cannot be solely explained by changes to image contrast and spatial frequency content, suggesting that retinal neurons might be sensitive to spatial cues in order to differentiate between different blur types.

摘要

目的

本研究旨在使用自然图像评估特定视网膜偏心度下不同类型和大小的模拟光学模糊对视网膜反应的影响。

方法

使用 30 度枯叶自然图像,对 27 名成年人的眼电图(ERG)进行记录,通过三种类型的光学模糊(散焦、散光和球差)和三种大小(0.1、0.3 或 0.5 µm)对其进行数字模糊处理。数字计算的模糊应用于整个图像,或应用于中央 6 度或 12 度视网膜偏心度之外的区域。

结果

模糊类型、大小和视网膜偏心度对 ERG 有显著影响。ERG 受到散焦和球差的不同影响;然而,散光对 ERG 没有影响。当模糊仅应用于中央 12 度偏心度之外时,ERG 不受影响。然而,当模糊应用于中央 6 度之外时,ERG 反应显著降低,与完全模糊图像记录的 ERG 没有区别。

结论

模糊类型、大小和位置都对视网膜反应有影响。我们的数据表明,6 度至 12 度偏心度之间的视网膜区域对模糊的视网膜反应影响最大。此外,某些光学模糊类型似乎对 ERG 的影响比其他类型更大。这些结果不能仅用图像对比度和空间频率内容的变化来解释,这表明视网膜神经元可能对空间线索敏感,以便区分不同的模糊类型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/1f63f06b19b7/iovs-62-10-1-f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/0c15cce3a6ca/iovs-62-10-1-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/314068e5c552/iovs-62-10-1-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/78da2d923d43/iovs-62-10-1-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/b4faac4b2ad4/iovs-62-10-1-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/5215d0e5d127/iovs-62-10-1-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/058baa549915/iovs-62-10-1-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/0fab608a3244/iovs-62-10-1-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/1f63f06b19b7/iovs-62-10-1-f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/0c15cce3a6ca/iovs-62-10-1-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/314068e5c552/iovs-62-10-1-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/78da2d923d43/iovs-62-10-1-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/b4faac4b2ad4/iovs-62-10-1-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/5215d0e5d127/iovs-62-10-1-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/058baa549915/iovs-62-10-1-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/0fab608a3244/iovs-62-10-1-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ede/8340654/1f63f06b19b7/iovs-62-10-1-f008.jpg

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