001034025 001__ 1034025
001034025 005__ 20250813203212.0
001034025 0247_ $$2doi$$a10.25493/6M2H-RFU
001034025 037__ $$aFZJ-2024-06855
001034025 1001_ $$0P:(DE-HGF)0$$aStangier, Jeanette$$b0
001034025 245__ $$aProbabilistic cytoarchitectonic map of Area 6r1 (PreCG) (v11.0)
001034025 260__ $$bEBRAINS$$c2024
001034025 3367_ $$2BibTeX$$aMISC
001034025 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1754987246_31475
001034025 3367_ $$026$$2EndNote$$aChart or Table
001034025 3367_ $$2DataCite$$aDataset
001034025 3367_ $$2ORCID$$aDATA_SET
001034025 3367_ $$2DINI$$aResearchData
001034025 520__ $$aThis dataset contains the probabilistic map (PM) of the ventral precentral transitional area (Area 6r1 (PreCG)) of the ventral precentral gyrus of the human brain. As part of the Julich-Brain Atlas (JBA), the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to common brain reference spaces, where each voxel was assigned the probability to belong to Area 6r1 (PreCG). The PM of Area 6r1 (PreCG) is provided in NifTi-1 format for each brain reference space and hemisphere. The JBA relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures that was described by [Amunts et al. in 2020](https://doi.org/10.1126/science.abb4588). Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
001034025 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001034025 536__ $$0G:(EU-Grant)101147319$$aEBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319)$$c101147319$$fHORIZON-INFRA-2022-SERV-B-01$$x1
001034025 536__ $$0G:(DE-Juel1)JL SMHB-2021-2027$$aJL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027)$$cJL SMHB-2021-2027$$x2
001034025 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x3
001034025 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x4
001034025 588__ $$aDataset connected to DataCite
001034025 650_7 $$2Other$$aNeuroscience
001034025 7001_ $$0P:(DE-Juel1)131675$$aCaspers, Svenja$$b1
001034025 7001_ $$0P:(DE-HGF)0$$aRuland , Sabine$$b2
001034025 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b3
001034025 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b4
001034025 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b5$$eCorresponding author
001034025 773__ $$a10.25493/6M2H-RFU
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001034025 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b5$$kFZJ
001034025 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5254$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001034025 9141_ $$y2024
001034025 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001034025 980__ $$adataset
001034025 980__ $$aVDB
001034025 980__ $$aI:(DE-Juel1)INM-1-20090406
001034025 980__ $$aUNRESTRICTED