000888099 001__ 888099
000888099 005__ 20210130010816.0
000888099 0247_ $$2doi$$a10.25493/3JX0-7E5
000888099 037__ $$aFZJ-2020-04676
000888099 1001_ $$0P:(DE-Juel1)131701$$aPalomero-Gallagher, Nicola$$b0$$eCorresponding author
000888099 245__ $$aProbabilistic cytoarchitectonic map of Area p32 (pACC) (v16.1)
000888099 260__ $$bHuman Brain Project Neuroinformatics Platform$$c2019
000888099 3367_ $$2BibTeX$$aMISC
000888099 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1605867580_32709
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000888099 520__ $$aThis dataset contains the distinct architectonic Area p32 (pACC) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area p32 (pACC). The probability map of Area p32 (pACC) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area p32 (pACC): Palomero-Gallagher et al. (2019) [Data set, v16.0] [DOI: 10.25493/FZXB-M6S](https://doi.org/10.25493%2FFZXB-M6S) The most probable delineation of Area p32 (pACC) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
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000888099 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x1
000888099 588__ $$aDataset connected to DataCite
000888099 7001_ $$0P:(DE-Juel1)131684$$aHoffstaedter, Felix$$b1
000888099 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b2
000888099 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b3
000888099 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b4
000888099 7001_ $$0P:(DE-Juel1)131714$$aZilles, Karl$$b5
000888099 773__ $$a10.25493/3JX0-7E5
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000888099 9141_ $$y2020
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