000916261 001__ 916261
000916261 005__ 20221221131717.0
000916261 0247_ $$2doi$$a10.25493/NXF4-X6J
000916261 037__ $$aFZJ-2022-06062
000916261 1001_ $$0P:(DE-Juel1)131650$$aKedo, O.$$b0$$ufzj
000916261 245__ $$aProbabilistic map of the amygdalopiriform transition area of the superficial amygdaloid group (SF.APir) (v8.2)
000916261 260__ $$bEBRAINS$$c2022
000916261 3367_ $$2BibTeX$$aMISC
000916261 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1671621817_4311
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000916261 3367_ $$2DataCite$$aDataset
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000916261 520__ $$aThis dataset SF.APir contains the distinct cytoarchitectonic subdivision, amygdalopiriform transition area (APir), of the superficial amygdaloid group (SF) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the amygdalopiriform transition area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to SF.APir. The probability map of SF.APir is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures [Amunts et. al 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of SF.APir is part of the superficial amygdaloid group (SF) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. Assignment of the amygdaloid subdivisions to the SF amygdaloid group is based on the receptor architectonic analysis in [Kedo et al. 2018]. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including SF.APir.
000916261 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000916261 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
000916261 588__ $$aDataset connected to DataCite
000916261 650_7 $$2Other$$aNeuroscience
000916261 7001_ $$0P:(DE-Juel1)131660$$aMohlberg, Hartmut$$b1$$ufzj
000916261 7001_ $$0P:(DE-Juel1)131636$$aBludau, Sebastian$$b2$$ufzj
000916261 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b3$$ufzj
000916261 773__ $$a10.25493/NXF4-X6J
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000916261 9141_ $$y2022
000916261 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
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