ERG FIELD TOPOGRAPHY AND SOURCE IDENTIFICATION

长期目标：该项目将为未来的应用奠定基础 一种新的强大的功能成像技术，用于检测和 人类视网膜功能障碍的研究。拟议的研究将 有助于建立联系， 人的ERG反应的组成部分和已知的视网膜机制， 在动物模型中进行电生理学研究。 在上一个项目期间， 采用多输入非线性系统分析方法， 在几个项目和许多试点研究中进行了测试。 一种新的方法 源识别的发展，现在将用于隔离， 表征信号分量，特别是来自内部视网膜的信号分量。 视网膜处理中的非线性主要是由于自适应 将使用机制来区分信号源。 他们的 然后将地形分布与已知的解剖分布进行比较， 用于识别来源的属性。 该项目将解决 围绕模式ERG和振荡ERG的长期争议 并为早期发现和表征 昏迷性损伤。 具体目标是： 1.视网膜电图的前、后感受性成分的鉴别 明视ERG的机制。 后处理动态的确定 感受器适应 2. 视网膜电图成分的鉴定 近端视网膜的地形分布的手段，其 非线性特性 这些病变的研究 青光眼患者的治疗方法 3. 本地化和特征化 在中间视觉水平观察到的缓慢适应机制， 似乎是杆介导的。4. 假设的检验， ERG的近端成分（特别是在 图形视网膜电图和振荡电位） 中心归因于适应池。5. 分析空间 长期空间适应的程度和动态。

Long-range Goal: The project will lay foundation for future applications of a new and powerful functional imaging techniques for the detection and study of retinal dysfunction in man. The proposed studies will contribute significantly to establishing the connection between components of the ERG response in man and retinal mechanisms known from electrophysiological studies in animal models. During the previous project period the concept of functional imaging by means of multi-input nonlinear system analysis has been successfully tested in several projects and numerous pilot studies. A new methodology of source identification has evolved that will now be used to isolate and characterize signal components, particularly those from the inner retina. Nonlinearities in retinal processing which are primarily due to adaptive mechanisms will be used to discriminate signal sources. Their topographic distribution will then be compared with known anatomical properties for identification of the sources. The project will resolve standing controversies surrounding the pattern ERG and the oscillatory potentials and pave the way to early detection and characterization of glaucomatous damage. Specific aims are: 1. Discrimination of ERG components from pre- and post-receptoral mechanisms in the photopic ERG. Determination of the dynamics of post- receptoral adaptation. 2. Identification of ERG components from the proximal retina by means of the topographic distribution of their nonlinear characteristics. Study of pathological changes of these components in glaucoma patients. 3. Localization and characterization of slow adaptive mechanisms that are observed at mesopic levels and appear to be rod mediated. 4. Test of the hypothesis that changes in proximal components of the ERG (particularly latency increases in the pattern electroretinogram and the oscillatory potentials) toward the center are attributable to adaptation pooling. 5. Analysis of spatial extent and dynamics of long-rang spatial adaptation.