000916298 001__ 916298
000916298 005__ 20221222131700.0
000916298 0247_ $$2doi$$a10.25493/YS8Z-S68
000916298 037__ $$aFZJ-2022-06099
000916298 1001_ $$0P:(DE-Juel1)195616$$aPoleksić, Joko$$b0$$ufzj
000916298 245__ $$aProbabilistic cytoarchitectonic map of the terminal islands of the Tuberculum (Terminal-islands, ventral Striatum, Telencephalon) (v4.0)
000916298 260__ $$bEBRAINS$$c2022
000916298 3367_ $$2BibTeX$$aMISC
000916298 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1671705021_15813
000916298 3367_ $$026$$2EndNote$$aChart or Table
000916298 3367_ $$2DataCite$$aDataset
000916298 3367_ $$2ORCID$$aDATA_SET
000916298 3367_ $$2DINI$$aResearchData
000916298 520__ $$aThis dataset contains cytoarchitectonic probability maps of the terminal islands (Basal forebrain) containing delineations in the individual single subject template of the MNI Colin 27 and the MNI ICBM 152 reference space, as part of the Julich-Brain atlas. The nucleus was identified using cytoarchitectonic analysis on cell-body-stained histological sections of ten human postmortem brains obtained from the body donor program of the University of Düsseldorf. The maps show the probability of each voxel belonging to the terminal islands Basal forebrain) in the reference spaces. The dataset is provided in the NifTi format. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
000916298 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916298 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916298 588__ $$aDataset connected to DataCite
000916298 650_7 $$2Other$$aNeuroscience
000916298 7001_ $$0P:(DE-Juel1)169263$$aBrandstetter, Andrea$$b1$$ufzj
000916298 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b2$$ufzj
000916298 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b3$$ufzj
000916298 773__ $$a10.25493/YS8Z-S68
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000916298 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)195616$$aForschungszentrum Jülich$$b0$$kFZJ
000916298 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)169263$$aForschungszentrum Jülich$$b1$$kFZJ
000916298 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b2$$kFZJ
000916298 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b3$$kFZJ
000916298 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)POF4-5251$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000916298 9141_ $$y2022
000916298 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000916298 980__ $$adataset
000916298 980__ $$aVDB
000916298 980__ $$aI:(DE-Juel1)INM-1-20090406
000916298 980__ $$aUNRESTRICTED