This title appears in the Scientific Report :
2020
Please use the identifier:
http://dx.doi.org/10.1126/science.abb4588 in citations.
Please use the identifier: http://hdl.handle.net/2128/25899 in citations.
Julich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture
Julich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture
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 brai...
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Personal Name(s): | Amunts, Katrin (Corresponding author) |
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Mohlberg, Hartmut (Corresponding author) / Bludau, Sebastian / Zilles, Karl | |
Contributing Institute: |
Strukturelle und funktionelle Organisation des Gehirns; INM-1 JARA - HPC; JARA-HPC |
Published in: | Science, 369 (2020) 6506, S. 988-992 |
Imprint: |
Cambridge, Mass.
Moses King
2020
|
DOI: |
10.1126/science.abb4588 |
PubMed ID: |
32732281 |
Document Type: |
Journal Article |
Research Program: |
Supercomputing and Modelling for the Human Brain Human Brain Project Specific Grant Agreement 3 Human Brain Project Specific Grant Agreement 2 Human Brain Project Specific Grant Agreement 1 Connectivity and Activity Ultra-high resolution 3D models of the human brain for the European Flagship Human Brain Project |
Link: |
Get full text OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/25899 in citations.
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. |