Probabilistic cytoarchitectonic map of Area Id3 (Insula) (v8.0)

This dataset contains the distinct probabilistic cytoarchitectonic map of Area Id3 (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 classical histological criteria and quantitative 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 Id3 (Insula). The probability map of Area Id3 (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 Id3 (Insula): Quabs et al. (2019) [Data set, v7.1] [DOI: 10.25493/AE2S-KT6](https://doi.org/10.25493%2FAE2S-KT6) The most probable delineation of Area Id3 (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MNI Colin 27个体单被试模板，以及MNI ICBM 152 2009c非线性不对称参考空间中，脑岛（Insula）Id3区的独特概率性细胞构筑图谱。
作为于利希脑（Julich-Brain）细胞构筑图谱的组成部分，该脑区通过经典组织学判定标准，以及对10例取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学切片开展定量细胞构筑分析得以鉴定。
随后将细胞构筑分析结果映射至上述两种参考空间，其中每个体素均被赋予其隶属于脑岛Id3区的概率值。
脑岛Id3区的概率图谱以NIfTI格式，针对每种大脑参考空间及大脑半球分别提供。
于利希脑图谱依托一套模块化、灵活且自适应的框架，包含用于生成上述结构的概率性脑图谱的工作流。
请注意，方法学改进以及针对新增脑结构的更新后的概率估值，在部分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。
脑岛Id3区的其他可用数据版本如下：Quabs等人（2019）[数据集，v7.1] [DOI: 10.25493/AE2S-KT6](https://doi.org/10.25493%2FAE2S-KT6)
通过计算当前已发布的全部于利希脑结构的最大概率图谱，可得到脑岛Id3区的最可能边界，相关数据集可在此处获取：Amunts等人（2019）[数据集，v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493/8EGG-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%2FA7Y0-NX9)；Amunts等人（2020）[数据集，v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53)