001034409 001__ 1034409
001034409 005__ 20241218210703.0
001034409 0247_ $$2doi$$a10.25493/FJX8-JMT
001034409 037__ $$aFZJ-2024-07190
001034409 1001_ $$0P:(DE-Juel1)131650$$aKedo, Olga$$b0$$eCorresponding author$$ufzj
001034409 245__ $$aProbabilistic cytoarchitectonic map of Area PirTB.TBv (PiriformCortexMesial, Piriform temporobasal Area, ventral part) (v5.0)
001034409 260__ $$bEBRAINS$$c2024
001034409 3367_ $$2BibTeX$$aMISC
001034409 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1734519647_15482
001034409 3367_ $$026$$2EndNote$$aChart or Table
001034409 3367_ $$2DataCite$$aDataset
001034409 3367_ $$2ORCID$$aDATA_SET
001034409 3367_ $$2DINI$$aResearchData
001034409 520__ $$aThis dataset contains the probabilistic map (PM) of Piriform temporobasal Area, ventral part (Area PirTB.TBv (PiriformCortexMesial, Piriform temporobasal Area, ventral part)) of the piriform cortex of the human brain. As part of the Julich-Brain Atlas (JBA), the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to common brain reference spaces, where each voxel was assigned the probability to belong to Area PirTB.TBv (PiriformCortexMesial, Piriform temporobasal Area, ventral part). The PM of Area PirTB.TBv (PiriformCortexMesial, Piriform temporobasal Area, ventral part) is provided in NifTi-1 format for each brain reference space and hemisphere. The JBA relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures that was described by [Amunts et al. in 2020](https://doi.org/10.1126/science.abb4588). Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
001034409 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001034409 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001034409 536__ $$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
001034409 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x3
001034409 588__ $$aDataset connected to DataCite
001034409 650_7 $$2Other$$aNeuroscience
001034409 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
001034409 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$eCorresponding author$$ufzj
001034409 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b3$$ufzj
001034409 773__ $$a10.25493/FJX8-JMT
001034409 909CO $$ooai:juser.fz-juelich.de:1034409$$popenaire$$pVDB$$pec_fundedresources
001034409 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131650$$aForschungszentrum Jülich$$b0$$kFZJ
001034409 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
001034409 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b2$$kFZJ
001034409 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b3$$kFZJ
001034409 9131_ $$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
001034409 9141_ $$y2024
001034409 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001034409 980__ $$adataset
001034409 980__ $$aVDB
001034409 980__ $$aI:(DE-Juel1)INM-1-20090406
001034409 980__ $$aUNRESTRICTED