000903028 001__ 903028
000903028 005__ 20211202141951.0
000903028 0247_ $$2doi$$a10.25493/BMNK-B8F
000903028 037__ $$aFZJ-2021-04757
000903028 1001_ $$0P:(DE-Juel1)188156$$aHein, M.$$b0$$eCorresponding author
000903028 245__ $$aProbabilistic cytoarchitectonic map of Area Ia2 (Insula) (v4.0)5254
000903028 260__ $$c2021
000903028 3367_ $$2BibTeX$$aMISC
000903028 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1638449720_14178
000903028 3367_ $$026$$2EndNote$$aChart or Table
000903028 3367_ $$2DataCite$$aDataset
000903028 3367_ $$2ORCID$$aDATA_SET
000903028 3367_ $$2DINI$$aResearchData
000903028 520__ $$aThis dataset contains cytoarchitectonic probability maps of the Area Ia2 (Insula) in the single subject template of the MNI (“Colin 27”) and the MNI ICBM 152 reference space, as part of the Julich-Brain atlas. The area was identified using cytoarchitectonic analysis on cell-body-stained histological sections in both hemispheres of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The maps show the probability to belong to the Area Ia2 (Insula) for each voxel of the reference spaces. Data is provided in the NifTi format. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create probabilistic brain maps. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Delineations of the Area Ia2 (Insula) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)
000903028 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000903028 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000903028 588__ $$aDataset connected to DataCite
000903028 650_7 $$2Other$$aNeuroscience
000903028 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, H.$$b1$$ufzj
000903028 7001_ $$0P:(DE-Juel1)131636$$aBludau, S.$$b2$$ufzj
000903028 7001_ $$0P:(DE-HGF)0$$aQuabs, J.$$b3
000903028 7001_ $$0P:(DE-Juel1)131631$$aAmunts, K.$$b4$$ufzj
000903028 773__ $$a10.25493/BMNK-B8F
000903028 909CO $$ooai:juser.fz-juelich.de:903028$$popenaire$$pVDB$$pec_fundedresources
000903028 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131660$$aForschungszentrum Jülich$$b1$$kFZJ
000903028 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131636$$aForschungszentrum Jülich$$b2$$kFZJ
000903028 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b4$$kFZJ
000903028 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5254$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000903028 9141_ $$y2021
000903028 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
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000903028 980__ $$aVDB
000903028 980__ $$aI:(DE-Juel1)INM-1-20090406
000903028 980__ $$aUNRESTRICTED