This title appears in the Scientific Report :
2023
Please use the identifier:
http://dx.doi.org/10.25493/BB0T-Z8D in citations.
3D cytoarchitectonic map of the human Area SFG2 of the BigBrain (v2.0)
3D cytoarchitectonic map of the human Area SFG2 of the BigBrain (v2.0)
This dataset contains cytoarchitectonic maps of the Area SFG2 of the BigBrain cortex and subcortical structures. The maps are based on reference delineations in serial histological sections of the BigBrain at 1 micron resolution in-plane, with a distance of sections typically not lower than 300 micr...
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Personal Name(s): | Amunts, Katrin |
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Bruno, Ariane | |
Contributing Institute: |
Strukturelle und funktionelle Organisation des Gehirns; INM-1 |
Imprint: |
EBRAINS
2023
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DOI: |
10.25493/BB0T-Z8D |
Document Type: |
Dataset |
Research Program: |
Human Brain Project Specific Grant Agreement 3 Neuroscientific Data Analytics and AI |
Subject (ZB): | |
Publikationsportal JuSER |
This dataset contains cytoarchitectonic maps of the Area SFG2 of the BigBrain cortex and subcortical structures. The maps are based on reference delineations in serial histological sections of the BigBrain at 1 micron resolution in-plane, with a distance of sections typically not lower than 300 micrometres. The 3D cytoarchitectonic maps were created in two different approaches: (1) As first version, a 3D map of the area was created by simple interpolation of the respective reference delineations. (2) As second version, a 3D map was created using deep convolutional neural networks trained on the respective reference delineations. As a result, the latter version also includes delineations of the area in the sections in-between reference delineations. The 3D maps were transformed to the 3D reconstructed BigBrain space and are integrated into the Julich-Brain Cytarchitectonic Atlas. |