Topography and Areal Organization of Mouse Visual Cortex
Topography and Areal Organization of Mouse Visual Cortex
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DOI：
10.1523/jneurosci.1124-14.2014
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发表时间：
2014-09-10
影响因子：
5.3
通讯作者：
Callaway, Edward M.
中科院分区：
文献类型：
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作者：
Garrett, Marina E.;Nauhaus, Ian;Callaway, Edward M.
为了指导未来旨在理解小鼠视觉系统的实验，我们必须对视觉皮层区域的整体地形有扎实的把握。理想情况下，用于测量皮层地形的方法应客观、可靠且足够简单，以便指导对每个实验对象的视觉区域进行后续定位。我们开发了一种自动化方法，该方法利用通过内源性信号成像获得的小鼠视觉皮层的视网膜拓扑图（Schuett等人，2002年；Kalatsky和Stryker，2003年；Marshel等人，2011年），并应用一种算法自动识别满足一组构成视觉区域的可量化标准的皮层区域。这种方法有助于对小鼠视觉皮层进行详细的分区，描绘出九个已知区域（初级视觉皮层、外侧内侧区、前外侧区、吻侧外侧区、前内侧区、后内侧区、外侧中间区、后区和压后区），并揭示了两个以前在小鼠中未被描述为具有视觉拓扑映射的区域（外侧外侧前区和内侧区）。利用来自每只动物的地形图和定义的区域边界，我们描述了地图组织的几个特征，包括区域位置、区域大小、视野覆盖范围和皮层放大倍数的变异性。我们证明小鼠的高级区域通常具有不完整的表征或偏向于视觉空间的特定区域，这表明其在处理有关环境的特定类型信息方面具有特异性。这项工作全面描述了小鼠的视觉拓扑组织，并介绍了用于视觉区域准确功能定位的重要工具。
To guide future experiments aimed at understanding the mouse visual system, it is essential that we have a solid handle on the global topography of visual cortical areas. Ideally, the method used to measure cortical topography is objective, robust, and simple enough to guide subsequent targeting of visual areas in each subject. We developed an automated method that uses retinotopic maps of mouse visual cortex obtained with intrinsic signal imaging (Schuett et al., 2002; Kalatsky and Stryker, 2003; Marshel et al., 2011) and applies an algorithm to automatically identify cortical regions that satisfy a set of quantifiable criteria for what constitutes a visual area. This approach facilitated detailed parcellation of mouse visual cortex, delineating nine known areas (primary visual cortex, lateromedial area, anterolateral area, rostrolateral area, anteromedial area, posteromedial area, laterointermediate area, posterior area, and postrhinal area), and revealing two additional areas that have not been previously described as visuotopically mapped in mice (laterolateral anterior area and medial area). Using the topographic maps and defined area boundaries from each animal, we characterized several features of map organization, including variability in area position, area size, visual field coverage, and cortical magnification. We demonstrate that higher areas in mice often have representations that are incomplete or biased toward particular regions of visual space, suggestive of specializations for processing specific types of information about the environment. This work provides a comprehensive description of mouse visuotopic organization and describes essential tools for accurate functional localization of visual areas.