Probabilistic cytoarchitectonic map of Area 4a (PreCG) (v11.0)

This dataset contains the distinct architectonic Area 4a (PreCG) 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 4a (PreCG). The probability map of Area 4a (PreCG) 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 4a (PreCG): Geyer et al. (2018) [Data set, v9.2] [DOI: 10.25493/5GXC-Z2U](https://doi.org/10.25493%2F5GXC-Z2U) Geyer et al. (2019) [Data set, v9.4] [DOI: 10.25493/PVPP-P3Q](https://doi.org/10.25493%2FPVPP-P3Q) The most probable delineation of Area 4a (PreCG) 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特异性细胞构筑区4a（中央前回，PreCG）。作为尤利希脑（Julich-Brain）细胞构筑图谱的组成部分，该区域通过对10例取自杜塞尔多夫大学遗体捐赠项目的人类死后大脑的胞体染色组织切片开展细胞构筑分析得以鉴定。随后将该细胞构筑分析的结果映射至上述两种参考空间，其中每个体素都会被赋予其归属区4a（中央前回，PreCG）的概率。针对每种大脑参考空间与大脑半球，区4a（中央前回，PreCG）的概率图谱均以NifTi格式提供。尤利希脑图谱依托模块化、灵活且自适应的框架，包含用于生成此类结构概率性脑图谱的工作流。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。区4a（中央前回，PreCG）的其他可用数据版本如下：Geyer等（2018）[数据集，v9.2] [DOI: 10.25493/5GXC-Z2U](https://doi.org/10.25493%2F5GXC-Z2U)；Geyer等（2019）[数据集，v9.4] [DOI: 10.25493/PVPP-P3Q](https://doi.org/10.25493%2FPVPP-P3Q)。从所有当前已发布的尤利希脑结构的最大概率图谱计算得到的区4a（中央前回，PreCG）最可能轮廓可在此处获取：Amunts等（2019）[数据集，v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6)；Amunts等（2019）[数据集，v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR)；Amunts等（2020）[数据集，v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)；Amunts等（2020）[数据集，v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9)；Amunts等（2020）[数据集，v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53)