001034443 001__ 1034443
001034443 005__ 20241218210704.0
001034443 0247_ $$2doi$$a10.25493/MFHQ-Q3A
001034443 037__ $$aFZJ-2024-07209
001034443 1001_ $$0P:(DE-Juel1)173629$$aBruno, Ariane$$b0$$eCorresponding author$$ufzj
001034443 245__ $$aProbabilistic cytoarchitectonic map of Area MFG4 (MFG) (v4.0)
001034443 260__ $$bEBRAINS$$c2024
001034443 3367_ $$2BibTeX$$aMISC
001034443 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1734519671_15480
001034443 3367_ $$026$$2EndNote$$aChart or Table
001034443 3367_ $$2DataCite$$aDataset
001034443 3367_ $$2ORCID$$aDATA_SET
001034443 3367_ $$2DINI$$aResearchData
001034443 520__ $$aThis dataset contains the probabilistic map (PM) of MFG4 of the middle frontal gyrus (Area MFG4 (MFG)) of the frontal lobe of the human brain. As part of the Julich-Brain Atlas (JBA), the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to common brain reference spaces, where each voxel was assigned the probability to belong to Area MFG4 (MFG). The PM of Area MFG4 (MFG) is provided in NifTi-1 format for each brain reference space and hemisphere. The JBA relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures that was described by [Amunts et al. in 2020](https://doi.org/10.1126/science.abb4588). Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
001034443 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001034443 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001034443 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x2
001034443 536__ $$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
001034443 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
001034443 588__ $$aDataset connected to DataCite
001034443 650_7 $$2Other$$aNeuroscience
001034443 7001_ $$0P:(DE-Juel1)196766$$aLothmann, Kimberley$$b1$$eCorresponding author$$ufzj
001034443 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b2$$ufzj
001034443 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b3$$eCorresponding author$$ufzj
001034443 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b4$$ufzj
001034443 773__ $$a10.25493/MFHQ-Q3A
001034443 909CO $$ooai:juser.fz-juelich.de:1034443$$popenaire$$pVDB$$pec_fundedresources
001034443 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173629$$aForschungszentrum Jülich$$b0$$kFZJ
001034443 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)196766$$aForschungszentrum Jülich$$b1$$kFZJ
001034443 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b2$$kFZJ
001034443 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b3$$kFZJ
001034443 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b4$$kFZJ
001034443 9131_ $$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
001034443 9141_ $$y2024
001034443 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001034443 980__ $$adataset
001034443 980__ $$aVDB
001034443 980__ $$aI:(DE-Juel1)INM-1-20090406
001034443 980__ $$aUNRESTRICTED