000888098 001__ 888098
000888098 005__ 20210130010815.0
000888098 0247_ $$2doi$$a10.25493/80YK-SN0
000888098 037__ $$aFZJ-2020-04675
000888098 1001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b0$$eCorresponding author
000888098 245__ $$aProbabilistic cytoarchitectonic map of Area p24ab (pACC) (v16.0)
000888098 260__ $$bHuman Brain Project Neuroinformatics Platform$$c2019
000888098 3367_ $$2BibTeX$$aMISC
000888098 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1605867558_3626
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000888098 3367_ $$2DINI$$aResearchData
000888098 520__ $$aThis dataset contains the distinct probabilistic cytoarchitectonic map of Area p24ab (pACC) in the individual, single subject template of the MNI Colin 27 reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to the reference space, where each voxel was assigned the probability to belong to Area p24ab (pACC). The probability map of Area p24ab (pACC) is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and updated probability estimates for new brain structures may in some cases lead to measurable but negligible deviations of existing probability maps, as compared to earlier released datasets. Other available data versions of Area p24ab (pACC): Palomero-Gallagher et al. (2019) [Data set, v16.1] [DOI: 10.25493/DHXC-2KN](https://doi.org/10.25493%2FDHXC-2KN) The most probable delineation of Area p24ab (pACC) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
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000888098 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x1
000888098 588__ $$aDataset connected to DataCite
000888098 7001_ $$0P:(DE-Juel1)131684$$aHoffstaedter, Felix$$b1
000888098 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b2
000888098 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b3
000888098 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b4
000888098 7001_ $$0P:(DE-Juel1)131714$$aZilles, Karl$$b5
000888098 773__ $$a10.25493/80YK-SN0
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000888098 9141_ $$y2020
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