001048771 001__ 1048771
001048771 005__ 20251202203138.0
001048771 0247_ $$2doi$$a10.25493/4ZAW-SFU
001048771 037__ $$aFZJ-2025-04886
001048771 1001_ $$0P:(DE-Juel1)204262$$aDietermann, Manuel$$b0$$eCorresponding author
001048771 245__ $$aProbabilistic cytoarchitectonic map of Area OTS1 (OTS) (v7.0)
001048771 260__ $$bEBRAINS$$c2025
001048771 3367_ $$2BibTeX$$aMISC
001048771 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1764671176_26457
001048771 3367_ $$026$$2EndNote$$aChart or Table
001048771 3367_ $$2DataCite$$aDataset
001048771 3367_ $$2ORCID$$aDATA_SET
001048771 3367_ $$2DINI$$aResearchData
001048771 520__ $$aThis dataset contains the probabilistic map (PM) of Area OTS1 (OTS) of the anterior occipitotemporal sulcus 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 OTS1 (OTS). The PM of Area OTS1 (OTS) 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.
001048771 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001048771 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001048771 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$$x2
001048771 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x3
001048771 588__ $$aDataset connected to DataCite
001048771 650_7 $$2Other$$aNeuroscience
001048771 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
001048771 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$eCorresponding author$$ufzj
001048771 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b3$$ufzj
001048771 773__ $$a10.25493/4ZAW-SFU
001048771 909CO $$ooai:juser.fz-juelich.de:1048771$$popenaire$$pVDB$$pec_fundedresources
001048771 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
001048771 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b2$$kFZJ
001048771 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b3$$kFZJ
001048771 9131_ $$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
001048771 9141_ $$y2025
001048771 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001048771 980__ $$adataset
001048771 980__ $$aVDB
001048771 980__ $$aI:(DE-Juel1)INM-1-20090406
001048771 980__ $$aUNRESTRICTED