001034445 001__ 1034445
001034445 005__ 20241218210704.0
001034445 0247_ $$2doi$$a10.25493/TX16-DWP
001034445 037__ $$aFZJ-2024-07211
001034445 1001_ $$0P:(DE-Juel1)173629$$aBruno, Ariane$$b0$$eCorresponding author$$ufzj
001034445 245__ $$aProbabilistic cytoarchitectonic map of Area SFG3 (SFG) (v4.0)
001034445 260__ $$bEBRAINS$$c2024
001034445 3367_ $$2BibTeX$$aMISC
001034445 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1734523343_24848
001034445 3367_ $$026$$2EndNote$$aChart or Table
001034445 3367_ $$2DataCite$$aDataset
001034445 3367_ $$2ORCID$$aDATA_SET
001034445 3367_ $$2DINI$$aResearchData
001034445 520__ $$aThis dataset contains the probabilistic map (PM) of area SFG3 of the superior frontal gyrus (Area SFG3 (SFG)) of the frontal lobe of the human brain. As part of the Julich-Brain Atlas (JBA), the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to common brain reference spaces, where each voxel was assigned the probability to belong to Area-SFG3 (SFG). The PM of Area-SFG3 (SFG) is provided in NifTi-1 format for each brain reference space and hemisphere. The JBA relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures that was described by [Amunts et al. in 2020](https://doi.org/10.1126/science.abb4588). Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
001034445 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001034445 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001034445 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x2
001034445 536__ $$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
001034445 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
001034445 588__ $$aDataset connected to DataCite
001034445 650_7 $$2Other$$aNeuroscience
001034445 7001_ $$0P:(DE-Juel1)196766$$aLothmann, Kimberley$$b1$$eCorresponding author$$ufzj
001034445 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b2$$ufzj
001034445 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b3$$eCorresponding author$$ufzj
001034445 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b4$$ufzj
001034445 773__ $$a10.25493/TX16-DWP
001034445 909CO $$ooai:juser.fz-juelich.de:1034445$$popenaire$$pVDB$$pec_fundedresources
001034445 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173629$$aForschungszentrum Jülich$$b0$$kFZJ
001034445 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)196766$$aForschungszentrum Jülich$$b1$$kFZJ
001034445 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b2$$kFZJ
001034445 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b3$$kFZJ
001034445 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b4$$kFZJ
001034445 9131_ $$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
001034445 9141_ $$y2024
001034445 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001034445 980__ $$adataset
001034445 980__ $$aVDB
001034445 980__ $$aI:(DE-Juel1)INM-1-20090406
001034445 980__ $$aUNRESTRICTED