001033964 001__ 1033964
001033964 005__ 20241213210712.0
001033964 0247_ $$2doi$$a10.25493/NBGN-6K0
001033964 037__ $$aFZJ-2024-06800
001033964 1001_ $$0P:(DE-Juel1)190831$$aStacho, Martin$$b0$$eCorresponding author$$ufzj
001033964 245__ $$aProbabilistic cytoarchitectonic map of NRm (Midbrain, Nucleus Ruber, magnocellular part) (v2.0)
001033964 260__ $$bEBRAINS$$c2024
001033964 3367_ $$2BibTeX$$aMISC
001033964 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1734070586_20223
001033964 3367_ $$026$$2EndNote$$aChart or Table
001033964 3367_ $$2DataCite$$aDataset
001033964 3367_ $$2ORCID$$aDATA_SET
001033964 3367_ $$2DINI$$aResearchData
001033964 520__ $$aThis dataset contains the probabilistic map (PM) of Nucleus Ruber, magnocellular part (NRm (Midbrain, Nucleus Ruber, magnocellular part)) of the midbrain of the human brain. As part of the Julich-Brain Atlas (JBA), the nucleus was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to common brain reference spaces, where each voxel was assigned the probability to belong to NRm (Midbrain, Nucleus Ruber, magnocellular part). The PM of NRm (Midbrain, Nucleus Ruber, magnocellular part) is provided in NifTi-1 format for each brain reference space and hemisphere. The JBA relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures that was described by [Amunts et al. in 2020](www.doi.org/10.1126/science.abb4588). Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
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001033964 536__ $$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
001033964 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x2
001033964 536__ $$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$$x3
001033964 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x4
001033964 588__ $$aDataset connected to DataCite
001033964 650_7 $$2Other$$aNeuroscience
001033964 7001_ $$0P:(DE-HGF)0$$aHäusler, A. Niklas$$b1
001033964 7001_ $$0P:(DE-Juel1)169263$$aBrandstetter, Andrea$$b2$$ufzj
001033964 7001_ $$0P:(DE-Juel1)169165$$aIannilli, Francesca$$b3
001033964 7001_ $$0P:(DE-Juel1)170068$$aSchiffer, Christian$$b4$$ufzj
001033964 7001_ $$0P:(DE-HGF)0$$aSmaers, Jeroen B.$$b5
001033964 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b6$$ufzj
001033964 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b7$$eCorresponding author$$ufzj
001033964 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b8
001033964 773__ $$a10.25493/NBGN-6K0
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001033964 9141_ $$y2024
001033964 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001033964 980__ $$adataset
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001033964 980__ $$aI:(DE-Juel1)INM-1-20090406
001033964 980__ $$aUNRESTRICTED