000888063 001__ 888063
000888063 005__ 20210130010803.0
000888063 0247_ $$2doi$$a10.25493/CZTA-P58
000888063 037__ $$aFZJ-2020-04641
000888063 1001_ $$0P:(DE-HGF)0$$aRuan, J.$$b0
000888063 245__ $$aProbabilistic cytoarchitectonic map of Area 6mp (SMA, mesial SFG) (v9.0)
000888063 260__ $$bHuman Brain Project Neuroinformatics Platform$$c2019
000888063 3367_ $$2BibTeX$$aMISC
000888063 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1605794723_26137
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000888063 3367_ $$2DataCite$$aDataset
000888063 3367_ $$2ORCID$$aDATA_SET
000888063 3367_ $$2DINI$$aResearchData
000888063 520__ $$aThis dataset contains the distinct probabilistic cytoarchitectonic map of Area 6mp (SMA, mesial SFG) in the individual, single subject template of the MNI Colin 27 reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using classical histological criteria and quantitative 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 6mp (SMA, mesial SFG). The probability map of Area 6mp (SMA, mesial SFG) is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain 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 6mp (SMA, mesial SFG): Ruan et al. (2019) [Data set, v9.1] [DOI: 10.25493/2E1T-47F](https://doi.org/10.25493%2F2E1T-47F) The most probable delineation of Area 6mp (SMA, mesial SFG) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
000888063 536__ $$0G:(DE-HGF)POF3-574$$a574 - Theory, modelling and simulation (POF3-574)$$cPOF3-574$$fPOF III$$x0
000888063 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x1
000888063 588__ $$aDataset connected to DataCite
000888063 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b1$$ufzj
000888063 7001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b2$$ufzj
000888063 7001_ $$0P:(DE-Juel1)131675$$aCaspers, Svenja$$b3$$ufzj
000888063 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b4$$ufzj
000888063 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b5$$ufzj
000888063 7001_ $$0P:(DE-HGF)0$$aSeitz, R. J.$$b6
000888063 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b7$$ufzj
000888063 773__ $$a10.25493/CZTA-P58
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000888063 9141_ $$y2020
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