This title appears in the Scientific Report :
2019
Please use the identifier:
http://dx.doi.org/10.25493/4WSQ-8FM in citations.
Probabilistic cytoarchitectonic map of Area 6d1 (PreCG) (v4.1)
Probabilistic cytoarchitectonic map of Area 6d1 (PreCG) (v4.1)
This dataset contains the distinct architectonic Area 6d1 (PreG) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the JuBrain cytoarchitectonic atlas, the area was identified using cytoarchitectonic anal...
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Personal Name(s): | Sigl, B. (Corresponding author) |
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Caspers, S. / Bludau, S. / Mohlberg, H. / Eickhoff, Simon / Amunts, K. | |
Contributing Institute: |
Gehirn & Verhalten; INM-7 Strukturelle und funktionelle Organisation des Gehirns; INM-1 |
Imprint: |
Human Brain Project Neuroinformatics Platform
2019
|
DOI: |
10.25493/4WSQ-8FM |
Document Type: |
Dataset |
Research Program: |
Human Brain Project Specific Grant Agreement 2 Human Brain Project Specific Grant Agreement 1 Connectivity and Activity |
Publikationsportal JuSER |
This dataset contains the distinct architectonic Area 6d1 (PreG) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the JuBrain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area 6d1 (PreG). The probability map of Area 6d1 (PreG) are provided in the NifTi format for each brain reference space and hemisphere. The JuBrain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. |