000888057 001__ 888057
000888057 005__ 20210130010802.0
000888057 0247_ $$2doi$$a10.25493/2E1T-47F
000888057 037__ $$aFZJ-2020-04635
000888057 1001_ $$0P:(DE-HGF)0$$aRuan, J.$$b0
000888057 245__ $$aProbabilistic cytoarchitectonic map of Area 6mp (SMA, mesial SFG) (v9.1)
000888057 260__ $$bHuman Brain Project Neuroinformatics Platform$$c2019
000888057 3367_ $$2BibTeX$$aMISC
000888057 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1605789072_26137
000888057 3367_ $$026$$2EndNote$$aChart or Table
000888057 3367_ $$2DataCite$$aDataset
000888057 3367_ $$2ORCID$$aDATA_SET
000888057 3367_ $$2DINI$$aResearchData
000888057 520__ $$aThis dataset contains the distinct architectonic Area 6mp (SMA, mesial SFG) in the MNI Colin 27 and MNI ICBM 152 reference spaces. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. Subsequently the results of the cytoarchitectonic analysis are mapped to the MNI Colin 27 and MNI ICBM 152 reference spaces where each voxel is assigned with the probability to belong to Area 6mp (SMA, mesial SFG). The probability map of Area 6mp (SMA, mesial SFG) are provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area 6mp (SMA, mesial SFG): Ruan et al. (2019) [Data set, v9.0] [DOI: 10.25493/CZTA-P58](https://doi.org/10.25493%2FCZTA-P58) The most probable delineation of Area 6mp (SMA, mesial SFG) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
000888057 536__ $$0G:(DE-HGF)POF3-574$$a574 - Theory, modelling and simulation (POF3-574)$$cPOF3-574$$fPOF III$$x0
000888057 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x1
000888057 588__ $$aDataset connected to DataCite
000888057 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b1$$ufzj
000888057 7001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b2$$ufzj
000888057 7001_ $$0P:(DE-Juel1)131675$$aCaspers, Svenja$$b3$$ufzj
000888057 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b4$$ufzj
000888057 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b5$$ufzj
000888057 7001_ $$0P:(DE-HGF)0$$aSeitz, R. J.$$b6
000888057 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b7$$ufzj
000888057 773__ $$a10.25493/2E1T-47F
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000888057 9141_ $$y2020
000888057 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
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