000916288 001__ 916288
000916288 005__ 20221221131717.0
000916288 0247_ $$2doi$$a10.25493/YRVQ-FTQ
000916288 037__ $$aFZJ-2022-06089
000916288 1001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b0$$ufzj
000916288 245__ $$aProbabilistic cytoarchitectonic map of anterior cingulate Area pv24c (pACC) (v20.1)
000916288 260__ $$bEBRAINS$$c2022
000916288 3367_ $$2BibTeX$$aMISC
000916288 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1671622746_30090
000916288 3367_ $$026$$2EndNote$$aChart or Table
000916288 3367_ $$2DataCite$$aDataset
000916288 3367_ $$2ORCID$$aDATA_SET
000916288 3367_ $$2DINI$$aResearchData
000916288 520__ $$aThis dataset contains the distinct cytoarchitectonic probability map of human pregenual cingulate Area pv24c (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 pv24c (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.
000916288 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916288 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916288 588__ $$aDataset connected to DataCite
000916288 650_7 $$2Other$$aNeuroscience
000916288 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916288 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b2$$ufzj
000916288 773__ $$a10.25493/YRVQ-FTQ
000916288 909CO $$ooai:juser.fz-juelich.de:916288$$popenaire$$pVDB$$pec_fundedresources
000916288 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131701$$aForschungszentrum Jülich$$b0$$kFZJ
000916288 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
000916288 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b2$$kFZJ
000916288 9131_ $$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
000916288 9141_ $$y2022
000916288 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000916288 980__ $$adataset
000916288 980__ $$aVDB
000916288 980__ $$aI:(DE-Juel1)INM-1-20090406
000916288 980__ $$aUNRESTRICTED