Network analysis of corticocortical connections reveals ventral and dorsal processing streams in mouse visual cortex.
Network analysis of corticocortical connections reveals ventral and dorsal processing streams in mouse visual cortex.
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DOI：
10.1523/jneurosci.6063-11.2012
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发表时间：
2012-03-28
期刊：
影响因子：
--
通讯作者：
Burkhalter A
中科院分区：
文献类型：
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作者：
Wang Q;Sporns O;Burkhalter A
用于视觉感知和视觉引导行动的大部分信息都是在皮层内复杂的连接网络中处理的。为了了解这在正常大脑中是如何工作的，并确定疾病的影响，老鼠是很有希望的模型。在灵长类动物的视觉皮层中，信息在专门用于视觉空间处理和引导动作的背侧流和用于物体识别的腹侧流中处理。在这里，我们追踪了10个视觉区域的输出，并使用现代网络科学的定量图分析工具，从39个皮层目标的投影强度来确定网络的社区结构。我们发现皮质图的高密度比之前在猴子身上显示的要高。每个源区域在其目标上显示了一个独特的投影权重分布（即连通性配置文件），该分布通过对数正态函数很好地拟合。重要的是，社区结构强烈依赖于来源区域的位置：内侧/前部的外皮层输出与顶叶、运动和边缘皮层联系更紧密，而外侧的外皮层输出优先与颞叶和海马旁皮层连接。这两个子网络类似于灵长类动物的背侧和腹侧皮层流，表明皮层网络的基本布局在物种间是保守的。
Much of the information used for visual perception and visually guided actions is processed in complex networks of connections within the cortex. To understand how this works in the normal brain and to determine the impact of disease, mice are promising models. In primate visual cortex, information is processed in a dorsal stream specialized for visuospatial processing and guided action and a ventral stream for object recognition. Here, we traced the outputs of 10 visual areas and used quantitative graph analytic tools of modern network science to determine, from the projection strengths in 39 cortical targets, the community structure of the network. We found a high density of the cortical graph that exceeded that previously shown in monkey. Each source area showed a unique distribution of projection weights across its targets (i.e. connectivity profile) that was well-fit by a lognormal function. Importantly, the community structure was strongly dependent on the location of the source area: outputs from medial/anterior extrastriate areas were more strongly linked to parietal, motor and limbic cortex, whereas lateral extrastriate areas were preferentially connected to temporal and parahippocampal cortex. These two subnetworks resemble dorsal and ventral cortical streams in primates, demonstrating that the basic layout of cortical networks is conserved across species.