Dataset

FZJ-2024-06792

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Julich-Brain Atlas, cytoarchitectonic maps

Amunts, K. (Corresponding author)FZJ* ; Mohlberg, H.FZJ* ; Bludau, S.FZJ* ; Caspers, S.FZJ* ; Lewis, L. B. ; Eickhoff, S.FZJ* ; Pieperhoff, P.FZJ*

2024
EBRAINS

This record in other databases:

Please use a persistent id in citations: doi:10.25493/KNSN-XB4

Abstract: 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.

Keyword(s): Neuroscience

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Contributing Institute(s):

1. Strukturelle und funktionelle Organisation des Gehirns (INM-1)
2. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 5254 - Neuroscientific Data Analytics and AI (POF4-525) (POF4-525)
2. EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319) (101147319)

Appears in the scientific report 2024

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