Probabilistic cytoarchitectonic map of Area hIP5 (IPS) (v7.0)

This dataset contains the distinct probabilistic cytoarchitectonic map of Area hIP5 (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 hIP5 (IPS). The probability map of Area hIP5 (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 hIP5 (IPS): Richter et al. (2019) [Data set, v7.1] [DOI: 10.25493/RNSM-Y4Y](https://doi.org/10.25493%2FRNSM-Y4Y) The most probable delineation of Area hIP5 (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标准空间下的单个被试模板中hIP5（IPS）脑区的专属概率性细胞构筑图谱。作为尤利希脑（Julich-Brain）细胞构筑图谱的组成部分，该脑区的识别基于对10例来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的细胞构筑分析。随后将细胞构筑分析结果配准至标准空间，为每个体素赋予其属于hIP5（IPS）脑区的概率值。本数据集为标准空间下的两侧半球分别提供了NIfTI格式的hIP5（IPS）脑区概率图谱。尤利希脑图谱依托模块化、灵活且可适配的框架，包含用于构建此类脑区概率图谱的工作流。请注意，相较于此前发布的数据集，针对全新脑区的方法学改进与更新后的概率估算值，在部分场景下可能会导致现有概率图谱出现可被检测到但可忽略的偏差。本数据集的其他可用版本：Richter等人（2019）[数据集，v7.1] [DOI: 10.25493/RNSM-Y4Y](https://doi.org/10.25493%2FRNSM-Y4Y)。基于当前已发布的所有尤利希脑结构的最大概率图谱计算得到的hIP5（IPS）脑区最可能划分边界可在此处获取：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)