000916944 001__ 916944
000916944 005__ 20230123101914.0
000916944 0247_ $$2doi$$a10.25493/MS4Q-5X9
000916944 037__ $$aFZJ-2023-00211
000916944 1001_ $$0P:(DE-Juel1)171890$$aKiwitz, Kai$$b0$$ufzj
000916944 245__ $$aProbabilistic cytoarchitectonic map of the human Corpus geniculatum laterale (CGL, LGB, metathalamus) (v10.0)
000916944 260__ $$bEBRAINS$$c2022
000916944 3367_ $$2BibTeX$$aMISC
000916944 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1673253613_16301
000916944 3367_ $$026$$2EndNote$$aChart or Table
000916944 3367_ $$2DataCite$$aDataset
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000916944 3367_ $$2DINI$$aResearchData
000916944 520__ $$aThis dataset contains cytoarchitectonic probability maps of the human Corpus geniculatum laterale (CGL, LGB, metathalamus, from here on called LGB) 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 LGB 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.
000916944 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916944 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916944 588__ $$aDataset connected to DataCite
000916944 650_7 $$2Other$$aNeuroscience
000916944 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916944 7001_ $$0P:(DE-Juel1)169263$$aBrandstetter, Andrea$$b2$$ufzj
000916944 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b3$$ufzj
000916944 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b4$$ufzj
000916944 773__ $$a10.25493/MS4Q-5X9
000916944 909CO $$ooai:juser.fz-juelich.de:916944$$pec_fundedresources$$pVDB$$popenaire
000916944 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)171890$$aForschungszentrum Jülich$$b0$$kFZJ
000916944 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
000916944 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)169263$$aForschungszentrum Jülich$$b2$$kFZJ
000916944 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b3$$kFZJ
000916944 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b4$$kFZJ
000916944 9131_ $$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
000916944 9141_ $$y2022
000916944 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000916944 980__ $$adataset
000916944 980__ $$aVDB
000916944 980__ $$aI:(DE-Juel1)INM-1-20090406
000916944 980__ $$aUNRESTRICTED