Hall Cierra M, McAnany J Jason
Department of Ophthalmology & Visual Sciences, University of Illinois at Chicago, Chicago, IL, USADepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.
Department of Ophthalmology & Visual Sciences, University of Illinois at Chicago, Chicago, IL, USADepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL, USADepartment of Psychology, University of Illinois at Chicago, Chicago, IL, USA.
J Vis. 2017 Jul 1;17(8):5. doi: 10.1167/17.8.5.
This study evaluated the extent to which different types of luminance noise can be used to target selectively the inferred magnocellular (MC) and parvocellular (PC) visual pathways. Letter contrast sensitivity (CS) was measured for three visually normal subjects for letters of different size (0.8°-5.3°) under established paradigms intended to target the MC pathway (steady-pedestal paradigm) and PC pathway (pulsed-pedestal paradigm). Results obtained under these paradigms were compared to those obtained in asynchronous static noise (a field of unchanging luminance noise) and asynchronous dynamic noise (a field of randomly changing luminance noise). CS was measured for letters that were high- and low-pass filtered using a range of filter cutoffs to quantify the object frequency information (cycles per letter) mediating letter identification, which was used as an index of the pathway mediating CS. A follow-up experiment was performed to determine the range of letter duration over which MC and PC pathway CS can be targeted. Analysis of variance indicated that the object frequencies measured under the static noise and steady-pedestal paradigms did not differ significantly (p ≥ 0.065), but differed considerably from those measured under the dynamic noise (both p < 0.001) and pulsed-pedestal (both p < 0.001) paradigms. The object frequencies mediating letter identification increased as duration increased under the steady-pedestal paradigm, but were independent of target duration (50-800 ms) under the pulsed-pedestal paradigm, in static noise, and in dynamic noise. These data suggest that the spatiotemporal characteristics of noise can be manipulated to target the inferred MC (static noise) and PC (dynamic noise) pathways. The results also suggest that CS within these pathways can be measured at long stimulus durations, which has potential importance in the design of future clinical CS tests.
本研究评估了不同类型的亮度噪声可在何种程度上用于选择性地靶向推测的大细胞(MC)和小细胞(PC)视觉通路。在旨在靶向MC通路(稳定背景范式)和PC通路(脉冲背景范式)的既定范式下,测量了三名视力正常受试者对不同大小(0.8°-5.3°)字母的字母对比度敏感度(CS)。将在这些范式下获得的结果与在异步静态噪声(亮度不变的噪声场)和异步动态噪声(亮度随机变化的噪声场)中获得的结果进行比较。使用一系列滤波器截止频率对字母进行高通和低通滤波后测量CS,以量化介导字母识别的物体频率信息(每个字母的周期数),该信息用作介导CS的通路的指标。进行了一项后续实验,以确定可靶向MC和PC通路CS的字母持续时间范围。方差分析表明,在静态噪声和稳定背景范式下测量的物体频率没有显著差异(p≥0.065),但与在动态噪声(p均<0.001)和脉冲背景(p均<0.001)范式下测量的物体频率有很大差异。在稳定背景范式下,介导字母识别的物体频率随持续时间增加而增加,但在脉冲背景范式下、静态噪声中和动态噪声中与目标持续时间(50-800毫秒)无关。这些数据表明,可以操纵噪声的时空特征来靶向推测中的MC(静态噪声)和PC(动态噪声)通路。结果还表明,在较长的刺激持续时间下可以测量这些通路内的CS,这在未来临床CS测试的设计中具有潜在的重要性。