000916294 001__ 916294
000916294 005__ 20221222131700.0
000916294 0247_ $$2doi$$a10.25493/T4C4-SY8
000916294 037__ $$aFZJ-2022-06095
000916294 1001_ $$0P:(DE-Juel1)171890$$aKiwitz, Kai$$b0$$ufzj
000916294 245__ $$aProbabilistic cytoarchitectonic map of the human Corpus geniculatum mediale (CGM, MGB, metathalamus) (v10.0)
000916294 260__ $$bEBRAINS$$c2022
000916294 3367_ $$2BibTeX$$aMISC
000916294 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1671695331_17992
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000916294 3367_ $$2DataCite$$aDataset
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000916294 3367_ $$2DINI$$aResearchData
000916294 520__ $$aThis dataset contains cytoarchitectonic probability maps of the human Corpus geniculatum mediale (CGM, MGB, metathalamus, from here on called MGB) of the metathalamus in the single subject template of the MNI Colin 27 and the MNI ICBM 152 reference space, as part of the Julich-Brain atlas. The nucleus was identified using cytoarchitectonic analysis on cell-body-stained histological sections of ten human postmortem brains obtained from the body donor program of the University of Düsseldorf. The maps show the probability to belong to the MGB for each voxel of the reference spaces. Data is provided in the NifTi format. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
000916294 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916294 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916294 588__ $$aDataset connected to DataCite
000916294 650_7 $$2Other$$aNeuroscience
000916294 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916294 7001_ $$0P:(DE-Juel1)169263$$aBrandstetter, Andrea$$b2$$ufzj
000916294 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b3$$ufzj
000916294 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b4$$ufzj
000916294 773__ $$a10.25493/T4C4-SY8
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000916294 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)171890$$aForschungszentrum Jülich$$b0$$kFZJ
000916294 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
000916294 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)169263$$aForschungszentrum Jülich$$b2$$kFZJ
000916294 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b3$$kFZJ
000916294 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b4$$kFZJ
000916294 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$$x0
000916294 9141_ $$y2022
000916294 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000916294 980__ $$adataset
000916294 980__ $$aVDB
000916294 980__ $$aI:(DE-Juel1)INM-1-20090406
000916294 980__ $$aUNRESTRICTED