Probabilistic cytoarchitectonic map of Area Id1 (Insula) (v14.0)

This dataset contains the distinct architectonic Area Id1 (Insula) in the MNI Colin 27 and MNI ICBM 152 reference spaces. As part of the Julich-Brain 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. Subsequently, the results of the cytoarchitectonic analysis are mapped to the MNI Colin 27 and MNI ICBM 152 reference spaces where each voxel is assigned with the probability to belong to Area Id1 (Insula). The probability map of Area Id1 (Insula) 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 Id1 (Insula): Kurth et al. (2018) [Data set, v11.0] [DOI: 10.25493/KPB6-2AX](https://doi.org/10.25493%2FKPB6-2AX) Kurth et al. (2019) [Data set, v13.1] [DOI: 10.25493/F37H-8WB](https://doi.org/10.25493%2FF37H-8WB) The most probable delineation of Area Id1 (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, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) 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)

本数据集收录了MNI Colin 27与MNI ICBM 152参考空间内的细胞构筑学分区Id1（脑岛，Insula）。作为尤利希脑图谱（Julich-Brain atlas）的组成部分，该分区依托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学切片，通过细胞构筑分析完成鉴定。随后，将该细胞构筑分析结果映射至MNI Colin 27与MNI ICBM 152参考空间，每个体素均被赋予其隶属于Id1（脑岛，Insula）分区的概率值。针对每种大脑参考空间与大脑半球，Id1（脑岛，Insula）分区的概率图谱均以NifTi格式提供。尤利希脑图谱（Julich-Brain atlas）依托模块化、灵活且可适配的分析框架，内置用于生成上述结构概率脑图谱的工作流。请注意，方法学改进与新脑结构的整合可能会导致早期发布的数据集存在细微偏差。
Id1（脑岛，Insula）分区的其他可用数据版本如下：
Kurth等人(2018) [数据集，v11.0] [DOI: 10.25493/KPB6-2AX](https://doi.org/10.25493%2FKPB6-2AX)
Kurth等人(2019) [数据集，v13.1] [DOI: 10.25493/F37H-8WB](https://doi.org/10.25493%2FF37H-8WB)
基于当前已发布的所有尤利希脑图谱脑结构的最大概率图谱计算得到的Id1（脑岛，Insula）分区最优划定边界，可通过以下资源获取：
Amunts等人(2019) [数据集，v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6)
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)
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)