001034444 001__ 1034444
001034444 005__ 20241218210704.0
001034444 0247_ $$2doi$$a10.25493/AEGJ-FDC
001034444 037__ $$aFZJ-2024-07210
001034444 1001_ $$0P:(DE-Juel1)173629$$aBruno, Ariane$$b0$$eCorresponding author$$ufzj
001034444 245__ $$aProbabilistic cytoarchitectonic map of Area SFG4 (SFG) (v4.0)
001034444 260__ $$bEBRAINS$$c2024
001034444 3367_ $$2BibTeX$$aMISC
001034444 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1734522475_24844
001034444 3367_ $$026$$2EndNote$$aChart or Table
001034444 3367_ $$2DataCite$$aDataset
001034444 3367_ $$2ORCID$$aDATA_SET
001034444 3367_ $$2DINI$$aResearchData
001034444 520__ $$aThis dataset contains the probabilistic map (PM) of area SFG4 of the superior frontal gyrus (Area SFG4 (SFG)) of the frontal lobe of the human brain. As part of the Julich-Brain Atlas (JBA), the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to common brain reference spaces, where each voxel was assigned the probability to belong to Area SFG4 (SFG). The PM of Area SFG4 (SFG) is provided in NifTi-1 format for each brain reference space and hemisphere. The JBA relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures that was described by [Amunts et al. in 2020](https://doi.org/10.1126/science.abb4588). Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
001034444 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001034444 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001034444 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x2
001034444 536__ $$0G:(EU-Grant)101147319$$aEBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319)$$c101147319$$fHORIZON-INFRA-2022-SERV-B-01$$x3
001034444 536__ $$0G:(DE-Juel1)JL SMHB-2021-2027$$aJL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027)$$cJL SMHB-2021-2027$$x4
001034444 588__ $$aDataset connected to DataCite
001034444 650_7 $$2Other$$aNeuroscience
001034444 7001_ $$0P:(DE-Juel1)196766$$aLothmann, Kimberley$$b1$$eCorresponding author$$ufzj
001034444 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b2$$ufzj
001034444 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b3$$eCorresponding author$$ufzj
001034444 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b4$$ufzj
001034444 773__ $$a10.25493/AEGJ-FDC
001034444 909CO $$ooai:juser.fz-juelich.de:1034444$$popenaire$$pVDB$$pec_fundedresources
001034444 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173629$$aForschungszentrum Jülich$$b0$$kFZJ
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001034444 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b2$$kFZJ
001034444 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b3$$kFZJ
001034444 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b4$$kFZJ
001034444 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$$x0
001034444 9141_ $$y2024
001034444 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001034444 980__ $$adataset
001034444 980__ $$aVDB
001034444 980__ $$aI:(DE-Juel1)INM-1-20090406
001034444 980__ $$aUNRESTRICTED