000868059 001__ 868059
000868059 005__ 20210130004050.0
000868059 0247_ $$2doi$$a10.25493/4MMD-HEB
000868059 037__ $$aFZJ-2019-06650
000868059 1001_ $$0P:(DE-Juel1)171897$$aSigl, B.$$b0$$eCorresponding author
000868059 245__ $$aProbabilistic cytoarchitectonic map of Area 6d2 (PreCG) (v4.0)
000868059 260__ $$bHuman Brain Project Neuroinformatics Platform$$c2019
000868059 3367_ $$2BibTeX$$aMISC
000868059 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1576587398_32085
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000868059 520__ $$aThis dataset contains the distinct probabilistic cytoarchitectonic map of Area 6d2 (PreCG) in the individual, single subject template of the MNI Colin 27 reference space. As part of the JuBrain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to the reference space, where each voxel was assigned the probability to belong to Area 6d2 (PreCG). The probability map of Area 6d2 (PreCG) is provided in NifTi format for each hemisphere in the reference space. The JuBrain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and updated probability estimates for new brain structures may in some cases lead to measurable but negligible deviations of existing probability maps, as compared to earlier released datasets. Other available data versions of Area 6d2 (PreCG): Sigl et al. (2019) [Data set, v4.1] [DOI: 10.25493/KXHS-N90](https://doi.org/10.25493%2FKXHS-N90) The most probable delineation of Area 6d2 (PreCG) derived from the calculation of a maximum probability map of all currently released JuBrain brain structures can be found here: Amunts et al. (2019) [Data set, v18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR)
000868059 536__ $$0G:(DE-HGF)POF3-571$$a571 - Connectivity and Activity (POF3-571)$$cPOF3-571$$fPOF III$$x0
000868059 536__ $$0G:(EU-Grant)720270$$aHBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270)$$c720270$$fH2020-Adhoc-2014-20$$x1
000868059 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x2
000868059 588__ $$aDataset connected to DataCite
000868059 7001_ $$0P:(DE-Juel1)131675$$aCaspers, S.$$b1$$ufzj
000868059 7001_ $$0P:(DE-Juel1)131636$$aBludau, S.$$b2$$ufzj
000868059 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, H.$$b3$$ufzj
000868059 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b4$$ufzj
000868059 7001_ $$0P:(DE-Juel1)131631$$aAmunts, K.$$b5$$ufzj
000868059 773__ $$a10.25493/4MMD-HEB
000868059 8564_ $$uhttps://kg.ebrains.eu/search/?search=false&identifier=Dataset/fbc806ed-b57d-497f-9b6b-95f62d99d762#Dataset/fbc806ed-b57d-497f-9b6b-95f62d99d762
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000868059 9141_ $$y2019
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