Probabilistic cytoarchitectonic map of Area hIP7 (IPS) (v7.0)

This dataset contains the distinct probabilistic cytoarchitectonic map of Area hIP7 (IPS) 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 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 hIP7 (IPS). The probability map of Area hIP7 (IPS) 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. Other available data versions of Area hIP7 (IPS): Richter et al. (2019) [Data set, v7.1] [DOI: 10.25493/WRCY-8Z1](https://doi.org/10.25493%2FWRCY-8Z1) The most probable delineation of Area hIP7 (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)

本数据集包含MNI Colin 27参考空间中个体单被试模板内hIP7区（IPS）的独特概率细胞构筑图谱。作为Julich-Brain细胞构筑图谱的一部分，该区域是通过对10例人类尸检脑的细胞体染色组织切片进行细胞构筑分析而确定的，这些脑组织来自杜塞尔多夫大学的遗体捐赠项目。随后，将细胞构筑分析结果映射到参考空间，其中每个体素（voxel）被赋予属于hIP7区（IPS）的概率。参考空间中每个半球的hIP7区（IPS）概率图谱以NifTi格式提供。Julich-Brain图谱依赖于一个模块化、灵活且自适应的框架，该框架包含用于创建这些结构的概率脑图谱的工作流程。请注意，方法学的改进以及对新脑结构概率估计的更新，在某些情况下可能导致现有概率图谱与早期发布的数据集相比出现可测量但可忽略的偏差。hIP7区（IPS）的其他可用数据版本：Richter等人（2019）[数据集，v7.1] [DOI: 10.25493/WRCY-8Z1](https://doi.org/10.25493%2FWRCY-8Z1) 从所有当前发布的Julich-Brain脑结构的最大概率图谱计算得出的hIP7区（IPS）最可能的划分可在此处找到：Amunts等人（2019）[数据集，v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts等人（2020）[数据集，v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)