001034407 001__ 1034407
001034407 005__ 20241218210703.0
001034407 0247_ $$2doi$$a10.25493/ZKSH-XD6
001034407 037__ $$aFZJ-2024-07188
001034407 1001_ $$0P:(DE-Juel1)131650$$aKedo, Olga$$b0$$eCorresponding author$$ufzj
001034407 245__ $$aProbabilistic cytoarchitectonic map of Astr (Amygdala) (v8.2)
001034407 260__ $$bEBRAINS$$c2024
001034407 3367_ $$2BibTeX$$aMISC
001034407 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1734518244_15479
001034407 3367_ $$026$$2EndNote$$aChart or Table
001034407 3367_ $$2DataCite$$aDataset
001034407 3367_ $$2ORCID$$aDATA_SET
001034407 3367_ $$2DINI$$aResearchData
001034407 520__ $$aThis dataset contains the probabilistic map (PM) of the amygdalostriatal transition zone (Astr (Amygdala)) of the amygdala of the human brain. As part of the Julich-Brain Atlas (JBA), the zone was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to common brain reference spaces, where each voxel was assigned the probability to belong to Astr (Amygdala). The PM of Astr (Amygdala) is provided in NifTi-1 format for each brain reference space and hemisphere. The JBA relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures that was described by [Amunts et al. in 2020](https://doi.org/10.1126/science.abb4588). Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
001034407 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001034407 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001034407 536__ $$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
001034407 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x3
001034407 588__ $$aDataset connected to DataCite
001034407 650_7 $$2Other$$aNeuroscience
001034407 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
001034407 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$eCorresponding author$$ufzj
001034407 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b3$$ufzj
001034407 773__ $$a10.25493/ZKSH-XD6
001034407 909CO $$ooai:juser.fz-juelich.de:1034407$$popenaire$$pVDB$$pec_fundedresources
001034407 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131650$$aForschungszentrum Jülich$$b0$$kFZJ
001034407 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
001034407 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b2$$kFZJ
001034407 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b3$$kFZJ
001034407 9131_ $$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
001034407 9141_ $$y2024
001034407 920__ $$lyes
001034407 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001034407 980__ $$adataset
001034407 980__ $$aVDB
001034407 980__ $$aI:(DE-Juel1)INM-1-20090406
001034407 980__ $$aUNRESTRICTED