Probabilistic cytoarchitectonic map of Area Ig3 (Insula) (v4.0)

This dataset contains the distinct probabilistic cytoarchitectonic map of Area Ig3 (Insula) 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 toArea Ig3 (Insula). The probability map of Area Ig3 (Insula) 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 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 Ig3 (Insula): Quabs et al. (2019) [Data set, v11.0] [DOI: 10.25493/2FTZ-MWQ](https://doi.org/10.25493/10.25493/2FTZ-MWQ) The most probable delineation of Area Ig3 (Insula) 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/10.25493/8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493/TAKY-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)

本数据集包含独立单被试模板MNI Colin 27以及MNI ICBM 152 2009c非线性不对称参考空间中，脑岛Ig3区（Area Ig3 (Insula)）的专属概率性细胞构筑图谱。作为Julich-Brain细胞构筑图谱（Julich-Brain cytoarchitectonic atlas）的组成部分，该脑区通过对杜塞尔多夫大学遗体捐赠项目获取的10例人类死后大脑的细胞染色组织切片进行细胞构筑分析得以定位。随后将细胞构筑分析结果映射至上述两个参考空间，每个体素均被赋予属于脑岛Ig3区的概率值。针对每个大脑参考空间与大脑半球，脑岛Ig3区的概率图谱均以NIfTI格式提供。Julich-Brain图谱依托模块化、灵活且自适应的框架，该框架包含用于生成此类脑结构概率图谱的工作流。请注意，相较于此前发布的数据集，针对新脑结构的方法学改进与更新后的概率估计值，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。脑岛Ig3区的其他可用数据版本包括：Quabs等人（2019）[数据集，v11.0] [DOI: 10.25493/2FTZ-MWQ](https://doi.org/10.25493/2FTZ-MWQ)。基于当前所有已发布的Julich-Brain脑结构最大概率图谱计算得到的脑岛Ig3区最可能划定范围可通过以下资源获取：Amunts等人（2019）[数据集，v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493/8EGG-ZAR)；Amunts等人（2020）[数据集，v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493/TAKY-64D)；Amunts等人（2020）[数据集，v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493/A7Y0-NX9)；Amunts等人（2020）[数据集，v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53)