Mapping brains without coordinates
Mapping brains without coordinates
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DOI：
10.1098/rstb.2005.1625
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发表时间：
2005-04-29
影响因子：
6.3
通讯作者：
Wanke, E
中科院分区：
文献类型：
--
作者：
Kötter, R;Wanke, E
在上个世纪，大脑图谱已经有了相当大的发展。虽然大多数重点放在基于坐标的空间地图集，坐标独立的包裹为基础的映射是一个重要的技术，用于访问大量的结构和功能的数据，已从侵入性实验报告，并提供了灵活和有效的信息表示。在这里，我们提供了一个介绍的动机，概念，技术和意义的坐标独立映射的微观结构或功能定义的大脑结构。特别是，我们解释的问题，构建映射路径，并找到足够的approxistics为他们的评价。然后，我们介绍了三个辅助概念的首字母缩略词为基础的映射（AM），一个广义的层次结构（GM本体），和地形为导向的区域地图（RM）与足够的粒度之间的映射与不同的皮质折叠的个人大脑和人类与非人类灵长类动物之间。来自CoCoMac灵长类大脑连接数据库的例子展示了这些概念如何增强基于已发布关系语句的坐标独立映射。最后，我们讨论了空间坐标为基础的与坐标无关的微结构脑映射的优势和劣势，并显示了更广泛的应用前景的包裹为基础的方法在多模态的结构，功能和临床数据的整合。
Brain mapping has evolved considerably over the last century. While most emphasis has been placed on coordinate-based spatial atlases, coordinate-independent parcellation-based mapping is an important technique for accessing the multitude of structural and functional data that have been reported from invasive experiments, and provides for flexible and efficient representations of information. Here, we provide an introduction to motivations, concepts, techniques and implications of coordinate-independent mapping of microstructurally or functionally defined brain structures. In particular, we explain the problems of constructing mapping paths and finding adequate heuristics for their evaluation. We then introduce the three auxiliary concepts of acronym-based mapping (AM), of a generalized hierarchy (GM ontology), and of a topographically oriented regional map (RM) with adequate granularity for mapping between individual brains with different cortical folding and between humans and non-human primates. Examples from the CoCoMac database of primate brain connectivity demonstrate how these concepts enhance coordinate-independent mapping based on published relational statements. Finally, we discuss the strengths and weaknesses of spatial coordinate-based versus coordinate-independent microstructural brain mapping and show perspectives for a wider application of parcellation-based approaches in the integration of multi-modal structural, functional and clinical data.