001016809 001__ 1016809
001016809 005__ 20250728202331.0
001016809 0247_ $$2doi$$a10.25493/Y1P3-YYN
001016809 037__ $$aFZJ-2023-03793
001016809 1001_ $$0P:(DE-Juel1)170068$$aSchiffer, Christian$$b0$$eCorresponding author
001016809 245__ $$a3D cytoarchitectonic map of the human Area MFG4 of the BigBrain (v2.0)
001016809 260__ $$bEBRAINS$$c2023
001016809 3367_ $$2BibTeX$$aMISC
001016809 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1753698195_3161
001016809 3367_ $$026$$2EndNote$$aChart or Table
001016809 3367_ $$2DataCite$$aDataset
001016809 3367_ $$2ORCID$$aDATA_SET
001016809 3367_ $$2DINI$$aResearchData
001016809 520__ $$aThis dataset contains cytoarchitectonic maps of the Area MFG4 of the BigBrain cortex and subcortical structures. The maps are based on reference delineations in serial histological sections of the BigBrain at 1 micron resolution in-plane, with a distance of sections typically not lower than 300 micrometres. The 3D cytoarchitectonic maps were created in two different approaches: (1) As first version, a 3D map of the area was created by simple interpolation of the respective reference delineations. (2) As second version, a 3D map was created using deep convolutional neural networks trained on the respective reference delineations. As a result, the latter version also includes delineations of the area in the sections in-between reference delineations. The 3D maps were transformed to the 3D reconstructed BigBrain space and are integrated into the Julich-Brain Cytarchitectonic Atlas.
001016809 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001016809 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001016809 588__ $$aDataset connected to DataCite
001016809 650_7 $$2Other$$aNeuroscience
001016809 7001_ $$0P:(DE-Juel1)173629$$aBruno, Ariane$$b1
001016809 7001_ $$aLothmann, Kimberley$$b2
001016809 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b3
001016809 7001_ $$0P:(DE-Juel1)165746$$aDickscheid, Timo$$b4
001016809 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b5
001016809 773__ $$a10.25493/Y1P3-YYN
001016809 909CO $$ooai:juser.fz-juelich.de:1016809$$popenaire$$pec_fundedresources$$pVDB
001016809 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)170068$$aForschungszentrum Jülich$$b0$$kFZJ
001016809 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173629$$aForschungszentrum Jülich$$b1$$kFZJ
001016809 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b3$$kFZJ
001016809 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165746$$aForschungszentrum Jülich$$b4$$kFZJ
001016809 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b5$$kFZJ
001016809 9131_ $$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
001016809 9141_ $$y2023
001016809 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001016809 980__ $$adataset
001016809 980__ $$aVDB
001016809 980__ $$aI:(DE-Juel1)INM-1-20090406
001016809 980__ $$aUNRESTRICTED