人脑
神经解剖学
维数(图论)
分辨率(逻辑)
高分辨率
神经科学
计算机科学
人工智能
生物
地质学
数学
遥感
纯数学
作者
Katrin Amunts,Claude Lepage,Louis Borgeat,Hartmut Mohlberg,Timo Dickscheid,Marc-Étienne Rousseau,Sebastian Bludau,Pierre‐Louis Bazin,Lindsay B. Lewis,Ana‐Maria Oros‐Peusquens,N. Jon Shah,Thomas Lippert,Karl Zilles,Alan C. Evans
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2013-06-20
卷期号:340 (6139): 1472-1475
被引量:907
标识
DOI:10.1126/science.1235381
摘要
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.
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