An open access mouse brain flatmap and upgraded rat and human brain flatmaps based on current reference atlases.
An open access mouse brain flatmap and upgraded rat and human brain flatmaps based on current reference atlases.
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开放获取的小鼠大脑平面图和基于当前参考图谱的升级的大鼠和人类大脑平面图。
DOI：
10.1002/cne.24966
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发表时间：
2021-03
期刊：
影响因子：
--
通讯作者：
Dong HW
中科院分区：
文献类型：
--
作者：
Hahn JD;Swanson LW;Bowman I;Foster NN;Zingg B;Bienkowski MS;Hintiryan H;Dong HW
在这里，我们展示了小鼠中枢神经系统（大脑）的平面图以及大幅增强的大鼠和人类大脑的平面图。还包括神经系统白质束、神经节和神经的增强表示，以及显示大鼠大脑发育不同阶段的增强系列十张平面图。成年小鼠和大鼠的大脑平面图提供了中枢神经系统分区的分层图解表示，根据它们在相应参考图集中的排列：Brain Maps 4.0（BM4，大鼠）和 Allen Reference Atlas（小鼠）的第一个版本。为了便于比较分析，两个平面图均等比例缩放，灰质的分区层次遵循 BM4 中使用的地形排列。小鼠和大鼠的大脑平面图还包括基于参考图集的大脑皮层图集水平轮廓，以及区域分区的直接图形和表格比较。为了鼓励使用大脑平面图，我们对它们进行了设计和组织，并附有支持参考表，以易于使用并适合计算应用程序。我们演示了如何调整它们来表示由实验数据产生的新颖的分区，并且我们提供了概念验证，说明它们如何构成基于网络的图形数据查看器和分析平台的基础。小鼠、大鼠和人脑平面矢量图形文件（Adobe Reader/Acrobat 可视，Adobe Illustrator 可编辑）和支持表格均提供开放访问；它们为寻求绘制大脑数据并进行比较分析的研究人员构成了广泛适用的神经科学工具箱资源。该插图显示了哺乳动物大脑的几个平面图表示，这些平面图表示是从小鼠、大鼠和人类大脑的一组新的和增强的平面图表示中选择和修改的。人脑平面图主要详细描述了皮质区域化。大鼠和小鼠的大脑平面图基于当前的大脑参考图集，它们代表了其中所代表的中枢神经系统灰质分区层次的所有深度。还为大鼠和小鼠展示了白质束、神经节和神经，为大鼠展示了一系列说明大脑发育阶段的平面图。大鼠和小鼠的大脑平面图旨在促进这些物种之间的比较分析，并适应新的分区模式和计算应用。我们给出了这些用途的示例，包括概念验证工作流程，演示了如何调整平面图以形成基于网络的图形数据查看器和分析平台的基础，以表示各种大脑数据。
Here we present a flatmap of the mouse central nervous system (brain) and substantially enhanced flatmaps of the rat and human brain. Also included are enhanced representations of nervous system white matter tracts, ganglia, and nerves, and an enhanced series of ten flatmaps showing different stages of rat brain development. The adult mouse and rat brain flatmaps provide layered diagrammatic representation of central nervous system divisions, according to their arrangement in corresponding reference atlases: Brain Maps 4.0 (BM4, rat), and the first version of the Allen Reference Atlas (mouse). To facilitate comparative analysis, both flatmaps are scaled equally, and the divisional hierarchy of gray matter follows a topographic arrangement used in BM4. Also included with the mouse and rat brain flatmaps are cerebral cortex atlas level contours based on the reference atlases, and direct graphical and tabular comparison of regional parcellation. To encourage use of the brain flatmaps, they were designed and organized, with supporting reference tables, for ease-of-use and to be amenable to computational applications. We demonstrate how they can be adapted to represent novel parcellations resulting from experimental data, and we provide a proof-of-concept for how they could form the basis of a web-based graphical data viewer and analysis platform. The mouse, rat, and human brain flatmap vector graphics files (Adobe Reader/Acrobat viewable and Adobe Illustrator editable) and supporting tables are provided open access; they constitute a broadly applicable neuroscience toolbox resource for researchers seeking to map and perform comparative analysis of brain data. The illustration shows several flatmap representations of the mammalian brain, selected and modified from a collection of new and enhanced flatmap representations of the mouse, rat, and human brain. The human brain flatmap primarily details cortical regionalization. The rat and mouse brain flatmaps are based on current brain reference atlases, and they represent all depths of the divisional hierarchy of central nervous system gray matter represented therein. Also represented for rat and mouse are white matter tracts, ganglia, and nerves, and for the rat a series of flatmaps illustrating stages of brain development. The rat and mouse brain flatmaps are designed to facilitate comparative analysis between these species, and for adaptability to novel parcellation schemas and computational applications. We give examples of these uses, including a proof-of-concept workflow demonstrating how the flatmaps could be adapted to form the basis of a web-based graphical data viewer and analysis platform to represent a wide variety of brain data.
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影响因子：
16.6
作者：
Niedworok CJ;Brown AP;Jorge Cardoso M;Osten P;Ourselin S;Modat M;Margrie TW
通讯作者：
Margrie TW
影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
Goubran, Maged;Leuze, Christoph;Zeineh, Michael
通讯作者：
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影响因子：
2.5
作者：
Biag, Jonathan;Huang, Yi;Gou, Lin;Hintiryan, Houri;Askarinam, Asal;Hahn, Joel D.;Toga, Arthur W.;Dong, Hong-Wei
通讯作者：
Dong, Hong-Wei