000888062 001__ 888062
000888062 005__ 20210130010803.0
000888062 0247_ $$2doi$$a10.25493/WVNR-SPT
000888062 037__ $$aFZJ-2020-04640
000888062 1001_ $$0P:(DE-HGF)0$$aRuan, J.$$b0
000888062 245__ $$aProbabilistic cytoarchitectonic map of Area 6ma (preSMA, mesial SFG) (v9.1)
000888062 260__ $$bHuman Brain Project Neuroinformatics Platform$$c2019
000888062 3367_ $$2BibTeX$$aMISC
000888062 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1605797817_21447
000888062 3367_ $$026$$2EndNote$$aChart or Table
000888062 3367_ $$2DataCite$$aDataset
000888062 3367_ $$2ORCID$$aDATA_SET
000888062 3367_ $$2DINI$$aResearchData
000888062 520__ $$aThis dataset contains the distinct architectonic Area 6ma (preSMA, mesial SFG) in the MNI Colin 27 and MNI ICBM 152 reference spaces. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. Subsequently, the results of the cytoarchitectonic analysis are mapped to the MNI Colin 27 and MNI ICBM 152 reference spaces where each voxel is assigned with the probability to belong to Area 6ma (preSMA, mesial SFG). The probability map of Area 6ma (preSMA, mesial SFG) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area 6ma (preSMA, mesial SFG): Ruan et al. (2019) [Data set, v9.0] [DOI: 10.25493/HPX1-1CT](https://doi.org/10.25493%2FHPX1-1CT) The most probable delineation of Area 6ma (preSMA, mesial SFG) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
000888062 536__ $$0G:(DE-HGF)POF3-574$$a574 - Theory, modelling and simulation (POF3-574)$$cPOF3-574$$fPOF III$$x0
000888062 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x1
000888062 588__ $$aDataset connected to DataCite
000888062 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b1$$ufzj
000888062 7001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b2$$ufzj
000888062 7001_ $$0P:(DE-Juel1)131675$$aCaspers, Svenja$$b3$$ufzj
000888062 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b4$$ufzj
000888062 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b5$$ufzj
000888062 7001_ $$0P:(DE-HGF)0$$aSeitz, R. J.$$b6
000888062 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b7$$ufzj
000888062 773__ $$a10.25493/WVNR-SPT
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000888062 9141_ $$y2020
000888062 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
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