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001     1033954
005     20241213210711.0
024 7 _ |a 10.25493/KNSN-XB4
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037 _ _ |a FZJ-2024-06792
100 1 _ |a Amunts, Katrin
|0 P:(DE-Juel1)131631
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|e Corresponding author
245 _ _ |a Julich-Brain Atlas, cytoarchitectonic maps
260 _ _ |c 2024
|b EBRAINS
336 7 _ |a MISC
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336 7 _ |a Dataset
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520 _ _ |a The Julich-Brain Atlas (RRID:SCR_023277) presents in this dataset cytoarchitectonic maps in several coordinate spaces, such as MNI Colin 27, MNI ICBM 152, and Free Surfer FsAverage-7. These maps originate from peer-reviewed probability maps (PMs) that define both cortical and subcortical brain regions. Notably, these probability maps account for the brain's inter-individual variability by analyzing data from ten post-mortem samples. For a whole-brain parcellation, the available probability maps are combined into a maximum probability map (MPM) by considering for each voxel the probability of all cytoarchitectonic brain regions, and determining the most probable assignment. The atlas was used as a reference atlas for the Human Brain Project and is deeply embedded within the European research infrastructure platform, EBRAINS. Furthermore, the atlas is continuously evolving and regularly updated with new areas. The [siibra toolsuite](https://siibra-python.readthedocs.io) provides an automated access to the Atlas, to speed up your work.
536 _ _ |a 5254 - Neuroscientific Data Analytics and AI (POF4-525)
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536 _ _ |a EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319)
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588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Neuroscience
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700 1 _ |a Mohlberg, Hartmut
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700 1 _ |a Bludau, Sebastian
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700 1 _ |a Caspers, Svenja
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700 1 _ |a Lewis, L. B.
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700 1 _ |a Eickhoff, Simon
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700 1 _ |a Pieperhoff, Peter
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773 _ _ |a 10.25493/KNSN-XB4
909 C O |o oai:juser.fz-juelich.de:1033954
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|v Decoding Brain Organization and Dysfunction
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914 1 _ |y 2024
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