Probabilistic cytoarchitectonic map of Area 3b (PostCG) (v10.0)

This dataset contains the distinct architectonic Area 3b (PostCG) 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 3b (PostCG). The probability map of Area 3b (PostCG) 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 3b (PostCG): Geyer et al. (2018) [Data set, v8.2] [DOI: 10.25493/W4WS-B3P](https://doi.org/10.25493%2FW4WS-B3P) Geyer et al. (2019) [Data set, v8.4] [DOI: 10.25493/2JK3-QXR](https://doi.org/10.25493%2F2JK3-QXR) The most probable delineation of Area 3b (PostCG) 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, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) 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) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53)

本数据集包含MNI Colin 27个体单被试模板与MNI ICBM 152 2009c非线性不对称参考空间中的独立细胞构筑学3b区（Area 3b (PostCG)）。作为于利希脑细胞构筑图谱（Julich-Brain cytoarchitectonic atlas）的组成部分，该脑区通过对10例来源于杜塞尔多夫大学遗体捐赠项目的人体尸脑的胞体染色组织切片开展细胞构筑分析得以定位。随后将细胞构筑分析结果配准至上述两个参考空间，每个体素均被赋予其属于3b区的概率值。针对每个脑参考空间与大脑半球，均以NIfTI格式提供3b区的概率图谱。于利希脑图谱依托模块化、灵活且自适应的框架，该框架包含用于生成上述脑区概率脑图谱的工作流程。请注意，方法学改进与新脑结构的整合可能会导致早期发布的数据集出现细微偏差。

3b区的其他可用数据版本包括：Geyer等人（2018年）[数据集, v8.2] [DOI: 10.25493/W4WS-B3P](https://doi.org/10.25493%2FW4WS-B3P)；Geyer等人（2019年）[数据集, v8.4] [DOI: 10.25493/2JK3-QXR](https://doi.org/10.25493%2F2JK3-QXR)。

基于当前已发布的所有于利希脑结构的最大概率图谱计算得到的3b区最可靠的边界划定，可通过以下数据集获取：Amunts等人（2019年）[数据集, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6)；Amunts等人（2019年）[数据集, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR)；Amunts等人（2020年）[数据集, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)；Amunts等人（2020年）[数据集, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9)；Amunts等人（2020年）[数据集, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53)