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Detecting glaucomatous damage: evaluation with contrast independent tasks

机译:检测青光眼损害:使用独立于对比的任务进行评估

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Several studies have indicated that contrast-dependent tasks, such as detecting threshold stimuli, may be more effective in discriminating glaucoma from normal groups if external noise is added to the stimulus. We sought to determine if the same were true for contrast-independent tasks. Subjects were 15 patients with glaucoma and a group of 20 normals with the same mean age. We employed two contrast-independent tasks, orientation defined texture and dot numerosity discrimination. The stimulus was presented on a computer controlled video monitor. One side of the display contained a standard and the other contained a non-standard target. For each task, noise was added by perturbing the main feature of the display, dot number or line orientation, by a Gaussian distribution truncated at 2 standard deviation units. There were four noise levels for each task. Subjects viewed the stimulus display and made a spatial two-alternative forced choice judgment. Subjects judged the side of the orientation texture which contained a sub-region with a different angle and the side of the dot figures which had the larger number of dots. Glaucoma patients performed more poorly than normals in discriminating the orientation texture (p < 0.05) and in judging dot numerosity (p < 0.05). This was true even in the absence of added external noise. Adding external noise did not increase the differences between glaucoma patients and normals. Unlike contrast-dependent tasks in which the differences between normal and glaucoma patients are increased when external noise is added, contrast-independent tasks show maximal differentiation between the two groups without added noise. Tasks such as texture discrimination and dot numerosity may be useful in detecting glaucoma.
机译:多项研究表明,如果将外部噪声添加到刺激中,诸如检测阈值刺激之类的对比度相关任务可能会更有效地将青光眼与正常人群区分开。我们试图确定对于独立于对比的任务是否同样如此。受试者为15例青光眼患者,20例平均年龄相同的正常人。我们采用了两个与对比度无关的任务,即方向定义的纹理和点数字区分。刺激被呈现在计算机控制的视频监视器上。显示器的一侧包含标准,另一侧包含非标准目标。对于每个任务,通过以2个标准偏差单位截断的高斯分布来扰动显示器的主要特征(点数或线方向),从而增加了噪声。每个任务有四个噪声级别。受试者观察了刺激显示并做出了空间二选一的强制选择判断。受试者判断定向纹理的一侧包含具有不同角度的子区域,而点图形的一侧则具有更多的点数。青光眼患者在辨别方向纹理(p <0.05)和判断点数目(p <0.05)方面比正常人差。即使没有额外的外部噪声也是如此。增加外部噪声并不会增加青光眼患者与正常人之间的差异。与对比度依赖型任务不同,当添加外部噪声时正常患者和青光眼患者之间的差异会增加,而对比度非依赖型任务则显示了两组之间的最大差异,而没有增加噪声。诸如纹理识别和斑点数量等任务可能对检测青光眼有用。

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