BigBrain: An Ultrahigh-Resolution 3D Human Brain Model
BigBrain: An Ultrahigh-Resolution 3D Human Brain Model
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DOI：
10.1126/science.1235381
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发表时间：
2013-06-21
期刊：
影响因子：
56.9
通讯作者：
Evans, Alan C.
中科院分区：
文献类型：
--
作者：
Amunts, Katrin;Lepage, Claude;Evans, Alan C.
参考脑是人脑制图中不可缺少的工具，可以将多模态数据整合到解剖学上真实的标准空间中。然而，可用的参考脑仅限于宏观尺度，不能提供在功能重要的微观维度上的信息。我们基于7404个组织学切片的重建，以接近20微米的细胞分辨率创建了一个人类大脑的超高分辨率三维（3D）模型。“BigBrain”是一个免费的、公开可用的工具，它提供了对人类大脑相当多的神经解剖学见解，从而允许提取微观数据进行建模和模拟。BigBrain可以对相互连接的皮质区域之间的最佳路径长度或遗传模式的空间组织的假设进行测试，重新定义传统的神经解剖学图谱，如Brodmann和von Economo的图谱。
Reference brains are indispensable tools in human brain mapping, enabling integration of multimodal data into an anatomically realistic standard space. Available reference brains, however, are restricted to the macroscopic scale and do not provide information on the functionally important microscopic dimension. We created an ultrahigh-resolution three-dimensional (3D) model of a human brain at nearly cellular resolution of 20 micrometers, based on the reconstruction of 7404 histological sections. "BigBrain" is a free, publicly available tool that provides considerable neuroanatomical insight into the human brain, thereby allowing the extraction of microscopic data for modeling and simulation. BigBrain enables testing of hypotheses on optimal path lengths between interconnected cortical regions or on spatial organization of genetic patterning, redefining the traditional neuroanatomy maps such as those of Brodmann and von Economo.