001048772 001__ 1048772
001048772 005__ 20251202203138.0
001048772 0247_ $$2doi$$a10.25493/N8GG-QPV
001048772 037__ $$aFZJ-2025-04887
001048772 1001_ $$0P:(DE-Juel1)204262$$aDietermann, Manuel$$b0$$eCorresponding author
001048772 245__ $$aProbabilistic cytoarchitectonic map of Area FG5 (FusG) (v7.0)
001048772 260__ $$bEBRAINS$$c2025
001048772 3367_ $$2BibTeX$$aMISC
001048772 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1764671197_26251
001048772 3367_ $$026$$2EndNote$$aChart or Table
001048772 3367_ $$2DataCite$$aDataset
001048772 3367_ $$2ORCID$$aDATA_SET
001048772 3367_ $$2DINI$$aResearchData
001048772 520__ $$aThis dataset contains the probabilistic map (PM) of Area FG5 (FusG) of the anterior fusiform gyrus 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 FG5 (FusG). The PM of Area FG5 (FusG) 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://www.science.org/doi/10.1126/science.abb4588). Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
001048772 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001048772 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001048772 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$$x2
001048772 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x3
001048772 588__ $$aDataset connected to DataCite
001048772 650_7 $$2Other$$aNeuroscience
001048772 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
001048772 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$eCorresponding author$$ufzj
001048772 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b3$$ufzj
001048772 773__ $$a10.25493/N8GG-QPV
001048772 909CO $$ooai:juser.fz-juelich.de:1048772$$popenaire$$pVDB$$pec_fundedresources
001048772 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
001048772 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b2$$kFZJ
001048772 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b3$$kFZJ
001048772 9131_ $$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
001048772 9141_ $$y2025
001048772 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001048772 980__ $$adataset
001048772 980__ $$aVDB
001048772 980__ $$aI:(DE-Juel1)INM-1-20090406
001048772 980__ $$aUNRESTRICTED