000868063 001__ 868063
000868063 005__ 20210130004050.0
000868063 0247_ $$2doi$$a10.25493/NVJ5-JJ
000868063 037__ $$aFZJ-2019-06654
000868063 1001_ $$0P:(DE-Juel1)171897$$aSigl, Benjamin$$b0$$eCorresponding author
000868063 245__ $$aProbabilistic cytoarchitectonic map of Area 6d3 (SFS) (v4.1)
000868063 260__ $$bHuman Brain Project Neuroinformatics Platform$$c2019
000868063 3367_ $$2BibTeX$$aMISC
000868063 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1576574757_618
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000868063 3367_ $$2DataCite$$aDataset
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000868063 3367_ $$2DINI$$aResearchData
000868063 520__ $$aThis dataset contains the distinct architectonic Area 6d3 (SFS) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the JuBrain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area 6d3 (SFS). The probability map of Area 6d3 (SFS) are provided in the NifTi format for each brain reference space and hemisphere. The JuBrain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
000868063 536__ $$0G:(DE-HGF)POF3-571$$a571 - Connectivity and Activity (POF3-571)$$cPOF3-571$$fPOF III$$x0
000868063 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x1
000868063 536__ $$0G:(EU-Grant)720270$$aHBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270)$$c720270$$fH2020-Adhoc-2014-20$$x2
000868063 588__ $$aDataset connected to DataCite
000868063 7001_ $$0P:(DE-Juel1)131675$$aCaspers, S.$$b1$$ufzj
000868063 7001_ $$0P:(DE-Juel1)131636$$aBludau, S.$$b2$$ufzj
000868063 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, H.$$b3$$ufzj
000868063 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b4$$ufzj
000868063 7001_ $$0P:(DE-Juel1)131631$$aAmunts, K.$$b5$$ufzj
000868063 773__ $$a10.25493/NVJ5-JJ
000868063 8564_ $$uhttps://kg.ebrains.eu/search/?search=false&identifier=Dataset/502b40a0-1689-4329-854e-a77dfd94d30b#Dataset/502b40a0-1689-4329-854e-a77dfd94d30b
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000868063 9131_ $$0G:(DE-HGF)POF3-571$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$vConnectivity and Activity$$x0
000868063 9141_ $$y2019
000868063 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
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