000916285 001__ 916285
000916285 005__ 20221222131700.0
000916285 0247_ $$2doi$$a10.25493/KXWA-2CD
000916285 037__ $$aFZJ-2022-06086
000916285 1001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b0$$ufzj
000916285 245__ $$aProbabilistic cytoarchitectonic map of anterior cingulate Area pd24cv (pACC) (v20.1)
000916285 260__ $$bEBRAINS$$c2022
000916285 3367_ $$2BibTeX$$aMISC
000916285 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1671631364_28423
000916285 3367_ $$026$$2EndNote$$aChart or Table
000916285 3367_ $$2DataCite$$aDataset
000916285 3367_ $$2ORCID$$aDATA_SET
000916285 3367_ $$2DINI$$aResearchData
000916285 520__ $$aThis dataset contains the distinct cytoarchitectonic probability map of human pregenual cingulate Area pd24cv (pACC) in the individual, single subject template of the MNI Colin 27 and the MNI ICBM 152 nonlinear asymmetric reference space, as part of the Julich-Brain atlas. The area was identified using a quantitative cytoarchitectonic analysis of cell-body-stained histological sections in both hemispheres of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The maps show, for each of the reference spaces, the probability that a given voxel has of belonging to Area pd24cv (pACC). Data is provided in the NifTi format. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create probabilistic brain maps. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
000916285 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916285 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916285 588__ $$aDataset connected to DataCite
000916285 650_7 $$2Other$$aNeuroscience
000916285 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916285 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b2$$ufzj
000916285 773__ $$a10.25493/KXWA-2CD
000916285 909CO $$ooai:juser.fz-juelich.de:916285$$popenaire$$pVDB$$pec_fundedresources
000916285 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131701$$aForschungszentrum Jülich$$b0$$kFZJ
000916285 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
000916285 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b2$$kFZJ
000916285 9131_ $$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
000916285 9141_ $$y2022
000916285 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000916285 980__ $$adataset
000916285 980__ $$aVDB
000916285 980__ $$aI:(DE-Juel1)INM-1-20090406
000916285 980__ $$aUNRESTRICTED