Juelich atlas¶
Access¶
Notes¶
The Julich-Brain cytoarchitectonic atlas presents cytoarchitectonic maps. These maps originate from peer-reviewed probability maps that define both cortical and subcortical brain regions. Notably, these probability maps account for the brain’s inter-individual variability by analyzing data from multiple post-mortem samples. For a whole-brain parcellation, the available probability maps are combined into a maximum probability map by considering for each voxel the probability of all cytoarchitectonic brain regions, and determining the most probable assignment.
For the overall scientific concept and methodology of the Julich-Brain cytoarchitectonic atlas, please cite Amunts et al.[1].
Content¶
atlas_type:str. Type of atlas. See Probabilistic atlas and Deterministic atlas.lut:pandas.DataFrame. Act as a look up table (lut) with at least columns ‘index’ and ‘name’. Formatted according to ‘dseg.tsv’ format from BIDS.maps:nibabel.nifti1.Nifti1Image. It is a 4D image with shape(182, 218, 182, 62)if a Probabilistic atlas is requested, and a 3D image with shape(182, 218, 182)and 62 regions (+ background) if a maximum probability atlas is requested. In the latter case, the image contains integer values which can be interpreted as the indices in the list of labels.template:str. The standardized space of analysis in which the data is provided.