000887986 001__ 887986
000887986 005__ 20210130010718.0
000887986 0247_ $$2doi$$a10.25493/46G6-T33
000887986 037__ $$aFZJ-2020-04564
000887986 1001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b0$$eCorresponding author$$ufzj
000887986 245__ $$aProbabilistic cytoarchitectonic map of CA2 (Hippocampus) (v11.1)
000887986 260__ $$bEBRAINS$$c2020
000887986 3367_ $$2BibTeX$$aMISC
000887986 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1605795357_29122
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000887986 3367_ $$2DataCite$$aDataset
000887986 3367_ $$2ORCID$$aDATA_SET
000887986 3367_ $$2DINI$$aResearchData
000887986 520__ $$aThis dataset contains the distinct probabilistic cytoarchitectonic map of CA2 (Hippocampus) 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 CA2 (Hippocampus). The probability map of CA2 (Hippocampus) 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 CA2 (Hippocampus): Amunts et al. (2018) [Data set, v11b.0] [DOI: 10.25493/K236-R0V](https://doi.org/10.25493/K236-R0V) The most probable delineation of CA2 (Hippocampus) 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, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493/TAKY-64D)
000887986 536__ $$0G:(DE-HGF)POF3-574$$a574 - Theory, modelling and simulation (POF3-574)$$cPOF3-574$$fPOF III$$x0
000887986 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x1
000887986 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$x2
000887986 588__ $$aDataset connected to DataCite
000887986 7001_ $$0P:(DE-Juel1)131650$$aKedo, Olga$$b1$$ufzj
000887986 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b2$$ufzj
000887986 7001_ $$0P:(DE-Juel1)131714$$aZilles, Karl$$b3$$ufzj
000887986 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b4$$ufzj
000887986 773__ $$a10.25493/46G6-T33
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000887986 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131650$$aForschungszentrum Jülich$$b1$$kFZJ
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000887986 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131714$$aForschungszentrum Jülich$$b3$$kFZJ
000887986 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b4$$kFZJ
000887986 9131_ $$0G:(DE-HGF)POF3-574$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$vTheory, modelling and simulation$$x0
000887986 9141_ $$y2020
000887986 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000887986 980__ $$adataset
000887986 980__ $$aVDB
000887986 980__ $$aI:(DE-Juel1)INM-1-20090406
000887986 980__ $$aUNRESTRICTED