Hauptseite > Publikationsdatenbank > Probabilistic map of the amygdalopiriform transition area of the superficial amygdaloid group (SF.APir) (v8.2) > print

001     916261
005     20221221131717.0
024 7 _ |a 10.25493/NXF4-X6J
|2 doi
037 _ _ |a FZJ-2022-06062
100 1 _ |a Kedo, O.
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245 _ _ |a Probabilistic map of the amygdalopiriform transition area of the superficial amygdaloid group (SF.APir) (v8.2)
260 _ _ |c 2022
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336 7 _ |a MISC
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336 7 _ |a Dataset
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520 _ _ |a This 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.
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536 _ _ |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)
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588 _ _ |a Dataset connected to DataCite
650 _ 7 |a Neuroscience
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700 1 _ |a Mohlberg, Hartmut
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700 1 _ |a Bludau, Sebastian
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700 1 _ |a Amunts, Katrin
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773 _ _ |a 10.25493/NXF4-X6J
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914 1 _ |y 2022
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