Journal Article FZJ-2020-02670

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

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2020
Moses King Cambridge, Mass.

Science 369(6506), 988-992 () [10.1126/science.abb4588]

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Abstract: 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.

Classification:

Contributing Institute(s):
  1. Strukturelle und funktionelle Organisation des Gehirns (INM-1)
  2. JARA - HPC (JARA-HPC)
Research Program(s):
  1. 571 - Connectivity and Activity (POF3-571) (POF3-571)
  2. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)
  3. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
  4. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
  5. SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)
  6. Ultra-high resolution 3D models of the human brain for the European Flagship Human Brain Project (jinm10_20190501) (jinm10_20190501)

Appears in the scientific report 2020
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Document types > Articles > Journal Article
JARA > JARA > JARA-JARA\-HPC
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 Record created 2020-07-31, last modified 2022-09-30