Recording gaze-corrected electroretinograms using eye-tracking

项目总结/摘要 生活在美国的视网膜疾病患者约占1200万。视觉障碍是一些 视网膜病变最常见、最令人烦恼和最令人衰弱的后果之一， 失明对视网膜疾病的体内研究提供了大量用于指导治疗的信息， 干预，最终预防。目前，这些疾病的结构性后果可能是 在细胞水平上以前所未有的分辨率进行评估，在过去的几十年里，这些信息导致了 更好地了解它们的自然历史。 疾病的表现总是有结构和功能的组成部分，迄今为止， 没有以高空间分辨率和高空间精度客观地测量视网膜功能的方法。 虽然已经成功地开发了几种方法来校正视网膜成像中的眼球运动 在视网膜功能模式中，很少有人致力于矫正眼球运动， 比如多焦视网膜电图（ERG）。 有了这个建议，我们的目标是开发一个系统，使用眼动跟踪技术和电生理 设备，以避免在ERG记录过程中的空间平均，同时实现高视网膜空间 精度我们将把眼动仪和显示器连接起来，在记录时创建一个视情况而定的显示器。 视网膜电图和眼球运动在同一时间。通过在整个记录过程中获得眼动数据，我们将 还能够离线校正注视位置。我们提出的实验也将测试空间分辨率 我们可以通过电生理手段达到的极限，我们将使用这些数据来创建一个高分辨率， 高精度视网膜功能图。 开发的方法可以用于基础和临床研究，用于过多的视网膜病变。 疾病，或回答神经科学问题。高分辨率和高精度的ERG可用于 研究特定视网膜位置的疾病进展，以检查疾病前沿，如地图状萎缩 在晚期干性年龄相关性黄斑变性和其他使人衰弱的视网膜病变中。这项建议 解决了NEI出版物“视觉研究：需求，差距和机会”中确定的需求： “描述视网膜黄斑和中央凹周围区域的特征，以更好地了解视网膜病变的偏好。 黄斑疾病”

Project Summary/Abstract People living in the United States with a retinal disease account for ~12 million. Visual disturbances are some of the most common, bothersome and debilitating consequences of retinal pathology, that can result in blindness. Studies of retinal diseases in vivo offer a plethora of information that is used to guide treatments, interventions, and eventually prevention. Currently, the structural consequences of these diseases can be assessed with unprecedented resolution at the cellular level, and over the past few decades, this information led to a better understanding of their natural history. The manifestation of a disease always has a structural and a functional component, and to date, there are no methods for measuring retinal function objectively at a high spatial resolution and high spatial accuracy. While several methods have been successfully developed for correcting for eye movements in retinal imaging modalities, little effort has been dedicated on correcting for eye movements in retinal functional modalities, like the multifocal electroretinogram (ERG). With this proposal, we aim to develop a system using eye-tracking technology and electrophysiological equipment to avoid spatial averaging during ERG recordings and at the same time achieve high retinal spatial accuracy. We will interface an eye-tracker with a display to create a gaze-contingent display while we record ERGs and eye-movements at the same time. By having eye movement data throughout the recording, we will also be able to correct for gaze location offline. The experiments we propose will also test the spatial resolution limits we can achieve with electrophysiological means, and we will use these data to create a high-resolution, high-accuracy functional map of the retina. The developed methods could then be used in basic and clinical research for a plethora of retinal diseases, or for answering neuroscience questions. The high resolution and accuracy ERGs can be performed to study disease progression at specific retinal locations, to examine the disease front like the geographic atrophy in advanced dry age-related macular degeneration and other debilitating retinal pathologies. This proposal addresses needs identified in the NEI Publication “Vision Research: Needs, Gaps, and Opportunities”: “Characterize the macula and perifoveal regions of the retina to better understand the predilection of the macula for disease.”