001016810 001__ 1016810
001016810 005__ 20250728202331.0
001016810 0247_ $$2doi$$a10.25493/VGY4-SZS
001016810 037__ $$aFZJ-2023-03794
001016810 1001_ $$0P:(DE-Juel1)170068$$aSchiffer, Christian$$b0$$eCorresponding author
001016810 245__ $$a3D cytoarchitectonic map of the human Area SFG3 of the BigBrain (v2.0)
001016810 260__ $$bEBRAINS$$c2023
001016810 3367_ $$2BibTeX$$aMISC
001016810 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1753698277_3500
001016810 3367_ $$026$$2EndNote$$aChart or Table
001016810 3367_ $$2DataCite$$aDataset
001016810 3367_ $$2ORCID$$aDATA_SET
001016810 3367_ $$2DINI$$aResearchData
001016810 520__ $$aThis dataset contains cytoarchitectonic maps of the Area SFG3 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.
001016810 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001016810 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001016810 588__ $$aDataset connected to DataCite
001016810 650_7 $$2Other$$aNeuroscience
001016810 7001_ $$0P:(DE-Juel1)173629$$aBruno, Ariane$$b1
001016810 7001_ $$aLothmann, Kimberley$$b2
001016810 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b3
001016810 7001_ $$0P:(DE-Juel1)165746$$aDickscheid, Timo$$b4
001016810 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b5
001016810 773__ $$a10.25493/VGY4-SZS
001016810 909CO $$ooai:juser.fz-juelich.de:1016810$$popenaire$$pec_fundedresources$$pVDB
001016810 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)170068$$aForschungszentrum Jülich$$b0$$kFZJ
001016810 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173629$$aForschungszentrum Jülich$$b1$$kFZJ
001016810 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b3$$kFZJ
001016810 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165746$$aForschungszentrum Jülich$$b4$$kFZJ
001016810 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b5$$kFZJ
001016810 9131_ $$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
001016810 9141_ $$y2023
001016810 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001016810 980__ $$adataset
001016810 980__ $$aVDB
001016810 980__ $$aI:(DE-Juel1)INM-1-20090406
001016810 980__ $$aUNRESTRICTED