Probabilistic cytoarchitectonic map of HC-Subiculum (Hippocampus) (v13.0)

This dataset contains the distinct architectonic HC-Subiculum (Hippocampus) in the MNI Colin 27 and MNI ICBM 152 reference spaces. As part of the Julich-Brain 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. Subsequently, the results of the cytoarchitectonic analysis are mapped to the MNI Colin 27 and MNI ICBM 152 reference spaces where each voxel is assigned with the probability to belong to HC-Subiculum (Hippocampus). The probability map of HC-Subiculum (Hippocampus) 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. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of HC-Subiculum (Hippocampus): Amunts et al. (2018) [Data set, v11b.0] [DOI: 10.25493/57EJ-01Z](https://doi.org/10.25493%2F57EJ-01Z) Amunts et al. (2019) [Data set, v11.1] [DOI: 10.25493/QKJH-F45](https://doi.org/10.25493%2FQKJH-F45) The most probable delineation of HC-Subiculum (Hippocampus) 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和MNI ICBM 152参考空间中独特的海马HC-下托（HC-Subiculum）结构区域。作为尤利希脑图谱（Julich-Brain atlas）的一部分，该区域通过对10例人类死后大脑的胞体染色组织切片进行细胞构筑分析确定，这些大脑样本来自杜塞尔多夫大学的遗体捐赠项目。随后，细胞构筑分析结果被映射到MNI Colin 27和MNI ICBM 152参考空间，其中每个体素被赋予属于海马HC-下托的概率值。海马HC-下托的概率图以NifTi格式提供，涵盖每个脑参考空间及半球。尤利希脑图谱依赖于模块化、灵活且自适应的框架，该框架包含生成这些结构概率脑图的工作流。请注意，方法学改进及新脑结构的整合可能导致早期发布数据集存在微小偏差。海马HC-下托的其他可用数据版本：Amunts et al. (2018) [数据集，v11b.0] [DOI: 10.25493/57EJ-01Z](https://doi.org/10.25493%2F57EJ-01Z) Amunts et al. (2019) [数据集，v11.1] [DOI: 10.25493/QKJH-F45](https://doi.org/10.25493%2FQKJH-F45) 从当前已发布的所有尤利希脑图谱结构的最大概率图计算得出的海马HC-下托最可能边界描绘可在此处获取：Amunts et al. (2019) [数据集，v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [数据集，v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [数据集，v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D) Amunts et al. (2020) [数据集，v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [数据集，v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53)