000911547 001__ 911547
000911547 005__ 20230123101840.0
000911547 0247_ $$2doi$$a10.25493/S2HH-89K
000911547 037__ $$aFZJ-2022-04807
000911547 1001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, N.$$b0$$ufzj
000911547 245__ $$aProbabilistic cytoarchitectonic map of CA3 (Hippocampus) (v13.2)
000911547 260__ $$bEBRAINS$$c2021
000911547 3367_ $$2BibTeX$$aMISC
000911547 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1668771366_1448
000911547 3367_ $$026$$2EndNote$$aChart or Table
000911547 3367_ $$2DataCite$$aDataset
000911547 3367_ $$2ORCID$$aDATA_SET
000911547 3367_ $$2DINI$$aResearchData
000911547 520__ $$aThis dataset contains the distinct probabilistic cytoarchitectonic map of CA3 (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 CA3 (Hippocampus). The probability map of CA3 (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 CA3 (Hippocampus): Amunts et al. (2020) [Data set, v11b.0] [DOI: 10.25493/MQ0Y-22E](https://doi.org/10.25493/MQ0Y-22E) Palomero-Gallagher et al. (2020) [Data set, v11.1] [DOI: 10.25493/C546-GS0](https://doi.org/10.25493%2FC546-GS0) Palomero-Gallagher et al. (2020) [Data set, v13.0] [DOI: 10.25493/S4VD-N70](https://doi.org/10.25493%2FS4VD-N70) The most probable delineation of CA3 (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) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53) Amunts et al. (2021) [Data set, v2.6] [DOI: 10.25493/KJQN-AM0](https://doi.org/10.25493%2FKJQN-AM0) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)
000911547 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000911547 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000911547 588__ $$aDataset connected to DataCite
000911547 650_7 $$2Other$$aNeuroscience
000911547 7001_ $$0P:(DE-Juel1)131650$$aKedo, O.$$b1$$ufzj
000911547 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, H.$$b2$$ufzj
000911547 7001_ $$0P:(DE-Juel1)131714$$aZilles, K.$$b3
000911547 7001_ $$0P:(DE-Juel1)131631$$aAmunts, K.$$b4$$ufzj
000911547 773__ $$a10.25493/S2HH-89K
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000911547 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131701$$aForschungszentrum Jülich$$b0$$kFZJ
000911547 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131650$$aForschungszentrum Jülich$$b1$$kFZJ
000911547 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b2$$kFZJ
000911547 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b4$$kFZJ
000911547 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5251$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000911547 9141_ $$y2022
000911547 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000911547 980__ $$adataset
000911547 980__ $$aVDB
000911547 980__ $$aI:(DE-Juel1)INM-1-20090406
000911547 980__ $$aUNRESTRICTED