001016807 001__ 1016807
001016807 005__ 20231013201850.0
001016807 0247_ $$2doi$$a10.25493/BB0T-Z8D
001016807 037__ $$aFZJ-2023-03791
001016807 1001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b0$$ufzj
001016807 245__ $$a3D cytoarchitectonic map of the human Area SFG2 of the BigBrain (v2.0)
001016807 260__ $$bEBRAINS$$c2023
001016807 3367_ $$2BibTeX$$aMISC
001016807 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1697183934_18136
001016807 3367_ $$026$$2EndNote$$aChart or Table
001016807 3367_ $$2DataCite$$aDataset
001016807 3367_ $$2ORCID$$aDATA_SET
001016807 3367_ $$2DINI$$aResearchData
001016807 520__ $$aThis dataset contains cytoarchitectonic maps of the Area SFG2 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.
001016807 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001016807 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001016807 588__ $$aDataset connected to DataCite
001016807 650_7 $$2Other$$aNeuroscience
001016807 7001_ $$0P:(DE-Juel1)173629$$aBruno, Ariane$$b1$$ufzj
001016807 773__ $$a10.25493/BB0T-Z8D
001016807 909CO $$ooai:juser.fz-juelich.de:1016807$$popenaire$$pVDB$$pec_fundedresources
001016807 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b0$$kFZJ
001016807 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173629$$aForschungszentrum Jülich$$b1$$kFZJ
001016807 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$$x0
001016807 9141_ $$y2023
001016807 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001016807 980__ $$adataset
001016807 980__ $$aVDB
001016807 980__ $$aI:(DE-Juel1)INM-1-20090406
001016807 980__ $$aUNRESTRICTED