Probabilistic Maps of Visual Topography in Human Cortex
Probabilistic Maps of Visual Topography in Human Cortex
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DOI：
10.1093/cercor/bhu277
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发表时间：
2015-10-01
期刊：
影响因子：
3.7
通讯作者：
Kastner, Sabine
中科院分区：
文献类型：
--
作者：
Wang, Liang;Mruczek, Ryan E. B.;Kastner, Sabine
人类视觉系统包含一系列地形组织区域。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。我们解决了这一限制，在2个标准化的空间适合成人大脑使用的视觉地形区域的概率图。使用标准的功能磁共振成像范例，我们确定了25个地形图在一个大的人口个体受试者（N = 53），并将它们转换成一个表面或体积为基础的标准化空间。在这里，我们提供了视觉区域内和视觉区域之间的受试者间变异性的定量表征，包括给定点被分类为任何区域的一部分（全概率图）和任何给定点的最可能区域（最大概率图）的可能性。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组织和视野覆盖中大规模偏差的新信息。最后，我们验证每个图集与独立的主题使用。总体而言，概率地图集量化了人类皮层中地形表示的变异性，并为比较可转换为这些标准空间的研究数据提供了有用的参考。
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.