001     888062
005     20210130010803.0
024 7 _ |a 10.25493/WVNR-SPT
|2 doi
037 _ _ |a FZJ-2020-04640
100 1 _ |a Ruan, J.
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Probabilistic cytoarchitectonic map of Area 6ma (preSMA, mesial SFG) (v9.1)
260 _ _ |c 2019
|b Human Brain Project Neuroinformatics Platform
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Dataset
|b dataset
|m dataset
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|s 1605797817_21447
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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 distinct architectonic Area 6ma (preSMA, mesial SFG) in the MNI Colin 27 and MNI ICBM 152 reference spaces. As part of the Julich-Brain 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. Subsequently, the results of the cytoarchitectonic analysis are mapped to the MNI Colin 27 and MNI ICBM 152 reference spaces where each voxel is assigned with the probability to belong to Area 6ma (preSMA, mesial SFG). The probability map of Area 6ma (preSMA, mesial SFG) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain 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. Other available data versions of Area 6ma (preSMA, mesial SFG): Ruan et al. (2019) [Data set, v9.0] [DOI: 10.25493/HPX1-1CT](https://doi.org/10.25493%2FHPX1-1CT) The most probable delineation of Area 6ma (preSMA, mesial SFG) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
536 _ _ |a 574 - Theory, modelling and simulation (POF3-574)
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536 _ _ |a HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)
|0 G:(EU-Grant)785907
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|f H2020-SGA-FETFLAG-HBP-2017
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588 _ _ |a Dataset connected to DataCite
700 1 _ |a Bludau, Sebastian
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700 1 _ |a Palomero-Gallagher, Nicola
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700 1 _ |a Caspers, Svenja
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700 1 _ |a Mohlberg, Hartmut
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700 1 _ |a Eickhoff, Simon
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700 1 _ |a Seitz, R. J.
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700 1 _ |a Amunts, Katrin
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773 _ _ |a 10.25493/WVNR-SPT
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