Julich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture

doi:10.1126/science.abb4588

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DOI	10.1126/science.abb4588
	Julich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture
	Katrin Amunts; Hartmut Mohlberg; Sebastian Bludau; Karl Zilles
	2020-08-21
发表期刊	Science
出版年	2020
英文摘要	Defining brain regions and demarking their spatial extent are important goals in neuroscience. A modern map of the brain's cellular structure, a cytoarchitectonic atlas, should provide maps of areas in three dimensions, integrate recent knowledge about brain parcellation, consider variations between individual brains, rely on reproducible workflows, and provide web-based links to other resources and databases. Amunts et al. created such an atlas based on serial histological sections of brain. They developed a computational framework and refined the current boundaries of the human brain based on cytoarchitectural patterns. This technique can easily be transferred to build brain atlases for other species or a spatial framework for other organs, other modalities, or multimodal maps for regions of interest at higher spatial scales. This research makes similar future attempts simultaneously reproducible and flexible. Science , this issue p. [988][1] Cytoarchitecture is a basic principle of microstructural brain parcellation. We introduce Julich-Brain, a three-dimensional atlas containing cytoarchitectonic maps of cortical areas and subcortical nuclei. The atlas is probabilistic, which enables it to account for variations between individual brains. Building such an atlas was highly data- and labor-intensive and required the development of nested, interdependent workflows for detecting borders between brain areas, data processing, provenance tracking, and flexible execution of processing chains to handle large amounts of data at different spatial scales. Full cortical coverage was achieved by the inclusion of gap maps to complement cortical maps. The atlas is dynamic and will be adapted as mapping progresses; it is openly available to support neuroimaging studies as well as modeling and simulation; and it is interoperable, enabling connection to other atlases and resources. [1]: /lookup/doi/10.1126/science.abb4588
领域	气候变化 ; 资源环境
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文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/291221
专题	气候变化资源环境科学
推荐引用方式 GB/T 7714	Katrin Amunts,Hartmut Mohlberg,Sebastian Bludau,等. Julich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture[J]. Science,2020.
APA	Katrin Amunts,Hartmut Mohlberg,Sebastian Bludau,&Karl Zilles.(2020).Julich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture.Science.
MLA	Katrin Amunts,et al."Julich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture".Science (2020).