001034415 001__ 1034415
001034415 005__ 20241218210703.0
001034415 0247_ $$2doi$$a10.25493/KDER-D45
001034415 037__ $$aFZJ-2024-07196
001034415 1001_ $$0P:(DE-Juel1)173629$$aBruno, Ariane$$b0$$eCorresponding author$$ufzj
001034415 245__ $$aProbabilistic cytoarchitectonic map of Area MFG5 (MFG, IFG) (v4.0)
001034415 260__ $$bEBRAINS$$c2024
001034415 3367_ $$2BibTeX$$aMISC
001034415 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1734522463_24848
001034415 3367_ $$026$$2EndNote$$aChart or Table
001034415 3367_ $$2DataCite$$aDataset
001034415 3367_ $$2ORCID$$aDATA_SET
001034415 3367_ $$2DINI$$aResearchData
001034415 520__ $$aThis dataset contains the probabilistic map (PM) of area MFG5 of the middle frontal gyrus (Area MFG5 (MFG, IFG)) of the frontal lobe of the human brain. As part of the Julich-Brain Atlas (JBA), the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to common brain reference spaces, where each voxel was assigned the probability to belong to Area MFG5 (MFG, IFG). The PM of Area MFG5 (MFG, IFG) is provided in NifTi-1 format for each brain reference space and hemisphere. The JBA relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures that was described by [Amunts et al. in 2020](https://doi.org/10.1126/science.abb4588). Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
001034415 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001034415 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001034415 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x2
001034415 536__ $$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
001034415 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
001034415 588__ $$aDataset connected to DataCite
001034415 650_7 $$2Other$$aNeuroscience
001034415 7001_ $$0P:(DE-Juel1)196766$$aLothmann, Kimberley$$b1$$eCorresponding author$$ufzj
001034415 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b2$$ufzj
001034415 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b3$$eCorresponding author$$ufzj
001034415 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b4$$ufzj
001034415 773__ $$a10.25493/KDER-D45
001034415 909CO $$ooai:juser.fz-juelich.de:1034415$$popenaire$$pVDB$$pec_fundedresources
001034415 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173629$$aForschungszentrum Jülich$$b0$$kFZJ
001034415 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)196766$$aForschungszentrum Jülich$$b1$$kFZJ
001034415 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b2$$kFZJ
001034415 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b3$$kFZJ
001034415 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b4$$kFZJ
001034415 9131_ $$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
001034415 9141_ $$y2024
001034415 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001034415 980__ $$adataset
001034415 980__ $$aVDB
001034415 980__ $$aI:(DE-Juel1)INM-1-20090406
001034415 980__ $$aUNRESTRICTED