灵长类动物对周期性刺激的视网膜电图反应以及与视觉感知和临床研究的相关性。

IF 1.1 4区 医学 Q4 NEUROSCIENCES
Jan Kremers, Cord Huchzermeyer
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引用次数: 0

摘要

目前,视网膜电图(ERG)主要是以闪光作为刺激来记录的。在这篇综述中,我们将论证强闪光并不是研究视觉信息处理的理想方法。ERG对周期性刺激的反应可能与后感知神经元(属于不同的视网膜-膝状体通路)的活动有更强的关联,因此与视觉感知更相关。我们还将论证,使用周期性刺激可能是对临床可用视网膜电生理方法的一种有吸引力的补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electroretinographic responses to periodic stimuli in primates and the relevance for visual perception and for clinical studies.

Currently, electroretinograms (ERGs) are mainly recorded while using flashes as stimuli. In this review, we will argue that strong flashes are not ideal for studying visual information processing. ERG responses to periodic stimuli may be more strongly associated with the activity of post-receptoral neurons (belonging to different retino-geniculate pathways) and, therefore, be more relevant for visual perception. We will also argue that the use of periodic stimuli may be an attractive addition to clinically available retinal electrophysiological methods.

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来源期刊
Visual Neuroscience
Visual Neuroscience 医学-神经科学
CiteScore
2.20
自引率
5.30%
发文量
8
审稿时长
>12 weeks
期刊介绍: Visual Neuroscience is an international journal devoted to the publication of experimental and theoretical research on biological mechanisms of vision. A major goal of publication is to bring together in one journal a broad range of studies that reflect the diversity and originality of all aspects of neuroscience research relating to the visual system. Contributions may address molecular, cellular or systems-level processes in either vertebrate or invertebrate species. The journal publishes work based on a wide range of technical approaches, including molecular genetics, anatomy, physiology, psychophysics and imaging, and utilizing comparative, developmental, theoretical or computational approaches to understand the biology of vision and visuo-motor control. The journal also publishes research seeking to understand disorders of the visual system and strategies for restoring vision. Studies based exclusively on clinical, psychophysiological or behavioral data are welcomed, provided that they address questions concerning neural mechanisms of vision or provide insight into visual dysfunction.
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