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@MISC{Vogt:1033983,
author = {Vogt, Brent A. and Mohlberg, Hartmut and Zilles, Karl and
Palomero-Gallagher, Nicola and Amunts, Katrin},
title = {{P}robabilistic cytoarchitectonic map of {A}rea a30
(retrosplenial) (v11.0)},
publisher = {EBRAINS},
reportid = {FZJ-2024-06819},
year = {2024},
abstract = {This dataset contains the distinct probabilistic
cytoarchitectonic map of Area a30 (retrosplenial) in the
individual, single subject template of the MNI Colin 27
reference space. As part of the Julich-Brain
cytoarchitectonic atlas, the area was identified using
classical histological criteria and quantitative
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 the reference space, where each voxel was assigned the
probability to belong to Area a30 (retrosplenial). The
probability map of Area a30 (retrosplenial) is provided in
NifTi format for each hemisphere in the reference space. 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 updated probability
estimates for new brain structures may in some cases lead to
measurable but negligible deviations of existing probability
maps, as compared to earlier released datasets. The most
probable delineation of Area a30 (retrosplenial) derived
from the calculation of a maximum probability map of all
currently released Julich-Brain brain structures can be
found here: Amunts et al. (2020) [Data set, v2.2] [DOI:
10.25493/TAKY-64D](https://doi.org/10.25493/TAKY-64D)},
keywords = {Neuroscience (Other)},
cin = {INM-1},
cid = {I:(DE-Juel1)INM-1-20090406},
pnm = {5254 - Neuroscientific Data Analytics and AI (POF4-525) /
EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to
Advance Neuroscience and Brain Health (101147319)},
pid = {G:(DE-HGF)POF4-5254 / G:(EU-Grant)101147319},
typ = {PUB:(DE-HGF)32},
doi = {10.25493/YCEZ-0H1},
url = {https://juser.fz-juelich.de/record/1033983},
}