000888097 001__ 888097
000888097 005__ 20210130010815.0
000888097 0247_ $$2doi$$a10.25493/YSP3-WR3
000888097 037__ $$aFZJ-2020-04674
000888097 1001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b0$$eCorresponding author
000888097 245__ $$aProbabilistic cytoarchitectonic map of Area p24c (pACC) (v16.0)
000888097 260__ $$bHuman Brain Project Neuroinformatics Platform$$c2019
000888097 3367_ $$2BibTeX$$aMISC
000888097 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1605867005_3626
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000888097 3367_ $$2DataCite$$aDataset
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000888097 3367_ $$2DINI$$aResearchData
000888097 520__ $$aThis dataset contains the distinct probabilistic cytoarchitectonic map of Area p24c (pACC) in the individual, single subject template of the MNI Colin 27 reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using classical histological criteria and quantitative cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to the reference space, where each voxel was assigned the probability to belong to Area p24c (pACC). The probability map of Area p24c (pACC) is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and updated probability estimates for new brain structures may in some cases lead to measurable but negligible deviations of existing probability maps, as compared to earlier released datasets. Other available data versions of Area p24c (pACC): Palomero-Gallagher et al. (2019) [Data set, v16.1] [DOI: 10.25493/QA7B-JM9](https://doi.org/10.25493%2FQA7B-JM9) The most probable delineation of Area p24c (pACC) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
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000888097 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x1
000888097 588__ $$aDataset connected to DataCite
000888097 7001_ $$0P:(DE-Juel1)131684$$aHoffstaedter, Felix$$b1
000888097 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b2
000888097 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b3
000888097 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b4
000888097 7001_ $$0P:(DE-Juel1)131714$$aZilles, Karl$$b5
000888097 773__ $$a10.25493/YSP3-WR3
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000888097 9141_ $$y2020
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