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001     916305
005     20221221131717.0
024 7 _ |a 10.25493/MGKP-Z5T
|2 doi
037 _ _ |a FZJ-2022-06106
100 1 _ |a Amunts, Katrin
|0 P:(DE-Juel1)131631
|b 0
|u fzj
245 _ _ |a Julich-Brain Atlas, cytoarchitectonic maps (v3.0)
260 _ _ |c 2022
|b EBRAINS
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Dataset
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|m dataset
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|s 1671616272_30090
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336 7 _ |a Chart or Table
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336 7 _ |a Dataset
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336 7 _ |a DATA_SET
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336 7 _ |a ResearchData
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520 _ _ |a This dataset contains the Julich-Brain Atlas, Cytoarchitectonic maps in different coordinate spaces. The parcellation provided by the Atlas is derived from the individually released probability maps (PMs) of cytoarchitectonically defined cortical and subcortical brain regions. For the whole-brain parcellation, the available PMs 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. In later versions of this dataset, gap maps complement the maximum probability map of the cytoarchitectonically defined brain regions to achieve full cortical coverage. There are two sets of PMs with a different degree of parcellation included. The set with 157 PMs corresponds to the usual granularity of the Julich-Brain Atlas. This set was used for the calculation of the MPM. Furthermore, a set with 175 PMs is included. This dataset contains, for some regions, more detailed cytoarchitectonic parcellations. For technical reasons, this finer parcellation is only representable via individual PMs due to the spatial resolution of the reference space, i.e., the MPM for the set of 175 PMs is not available. In addition, a set of cortical areas of the MPM is available on the freesurfer fsaverage surface. Note that methodological improvements and integration of new brain structures may lead to small deviations in the parcellation between released versions of this dataset.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
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|c POF4-525
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536 _ _ |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)
|0 G:(EU-Grant)945539
|c 945539
|f H2020-SGA-FETFLAG-HBP-2019
|x 1
588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Neuroscience
|2 Other
700 1 _ |a Mohlberg, Hartmut
|0 P:(DE-Juel1)131660
|b 1
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700 1 _ |a Bludau, Sebastian
|0 P:(DE-Juel1)131636
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700 1 _ |a Caspers, Svenja
|0 P:(DE-Juel1)131675
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700 1 _ |a Lewis, Lindsay B.
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|b 4
700 1 _ |a Eickhoff, Simon B.
|0 P:(DE-Juel1)131678
|b 5
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700 1 _ |a Pieperhoff, Peter
|0 P:(DE-Juel1)131666
|b 6
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773 _ _ |a 10.25493/MGKP-Z5T
909 C O |o oai:juser.fz-juelich.de:916305
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5251
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914 1 _ |y 2022
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
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980 _ _ |a dataset
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980 _ _ |a I:(DE-Juel1)INM-1-20090406
980 _ _ |a UNRESTRICTED

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