Probabilistic cytoarchitectonic map of Area hIP6 (IPS) (v7.3)

This dataset contains the distinct architectonic Area hIP6 (IPS) 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 hIP6 (IPS). The probability map of Area hIP6 (IPS) 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 Area hIP6 (IPS): Richter et al. (2019) [Data set, v7.0] [DOI: 10.25493/SVEY-ZBS](https://doi.org/10.25493%2FSVEY-ZBS) Richter et al. (2019) [Data set, v7.1] [DOI: 10.25493/AFQR-50Q](https://doi.org/10.25493%2FAFQR-50Q) The most probable delineation of Area hIP6 (IPS) 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, v1.18] [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) Amunts et al. (2021) [Data set, v2.6] [DOI: 10.25493/KJQN-AM0](https://doi.org/10.25493%2FKJQN-AM0) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)

本数据集包含MNI Colin27单受试者模板以及MNI ICBM152 2009c非线性不对称参考空间中独特的结构区域hIP6（IPS）。作为Julich-Brain细胞结构图谱（cytoarchitectonic atlas）的一部分，该区域通过对来自杜塞尔多夫大学遗体捐赠项目的10个人类死后大脑的细胞体染色组织切片（cell-body-stained histological sections）进行细胞结构分析（cytoarchitectonic analysis）而识别。随后，细胞结构分析结果被映射到两个参考空间，每个体素（voxel）被赋予属于Area hIP6（IPS）的概率。Area hIP6（IPS）的概率图以NifTi格式提供给每个大脑参考空间和半球。Julich-Brain图谱依赖于一个模块化、灵活且自适应的框架，其中包含生成这些结构的概率脑图的工作流。请注意，方法学改进及新脑结构的整合可能导致早期发布的数据集出现微小偏差。Area hIP6（IPS）的其他可用数据版本：Richter et al. (2019) [Data set, v7.0] [DOI: 10.25493/SVEY-ZBS](https://doi.org/10.25493%2FSVEY-ZBS) Richter et al. (2019) [Data set, v7.1] [DOI: 10.25493/AFQR-50Q](https://doi.org/10.25493%2FAFQR-50Q) The most probable delineation of Area hIP6 (IPS) 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, v1.18] [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%2F8JKE-M53) Amunts et al. (2021) [Data set, v2.6] [DOI: 10.25493/KJQN-AM0](https://doi.org/10.25493%2FKJQN-AM0) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493%2FVSMK-H94)