Wang Liang, Mruczek Ryan E B, Arcaro Michael J, Kastner Sabine
Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ 08544, USA Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ 08544, USA Department of Psychology, Swarthmore College, Swarthmore, PA 19081, USA.
Cereb Cortex. 2015 Oct;25(10):3911-31. doi: 10.1093/cercor/bhu277. Epub 2014 Dec 1.
The human visual system contains an array of topographically organized regions. Identifying these regions in individual subjects is a powerful approach to group-level statistical analysis, but this is not always feasible. We addressed this limitation by generating probabilistic maps of visual topographic areas in 2 standardized spaces suitable for use with adult human brains. Using standard fMRI paradigms, we identified 25 topographic maps in a large population of individual subjects (N = 53) and transformed them into either a surface- or volume-based standardized space. Here, we provide a quantitative characterization of the inter-subject variability within and across visual regions, including the likelihood that a given point would be classified as a part of any region (full probability map) and the most probable region for any given point (maximum probability map). By evaluating the topographic organization across the whole of visual cortex, we provide new information about the organization of individual visual field maps and large-scale biases in visual field coverage. Finally, we validate each atlas for use with independent subjects. Overall, the probabilistic atlases quantify the variability of topographic representations in human cortex and provide a useful reference for comparing data across studies that can be transformed into these standard spaces.
人类视觉系统包含一系列按地形组织的区域。在个体受试者中识别这些区域是进行组水平统计分析的有力方法，但这并不总是可行的。我们通过在适合成年人大脑的2个标准化空间中生成视觉地形区域的概率图谱来解决这一局限性。使用标准功能磁共振成像范式，我们在大量个体受试者（N = 53）中识别出25个地形图，并将它们转换为基于表面或体积的标准化空间。在这里，我们对视觉区域内和跨视觉区域的受试者间变异性进行了定量表征，包括给定点被分类为任何区域一部分的可能性（全概率图谱）以及任何给定点最可能所属的区域（最大概率图谱）。通过评估整个视觉皮层的地形组织，我们提供了关于个体视野图谱组织以及视野覆盖中大规模偏差的新信息。最后，我们验证了每个图谱在独立受试者中的适用性。总体而言，概率图谱量化了人类皮层中地形表征的变异性，并为比较可转换为这些标准空间的不同研究数据提供了有用的参考。
