Probabilistic cytoarchitectonic map of Area OP2 (POperc) (v12.2)

This dataset contains the distinct probabilistic cytoarchitectonic map of Area OP2 (POperc) 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 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 the reference space, where each voxel was assigned the probability to belong to Area OP2 (POperc). The probability map of Area OP2 (POperc) 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 OP2 (POperc): Eickhoff et al. (2018) [Data set, v9.2] [DOI: 10.25493/F8W5-HNB](https://doi.org/10.25493%2FF8W5-HNB) Eickhoff et al. (2019) [Data set, v9.4] [DOI: 10.25493/5KBV-36J](https://doi.org/10.25493%2F5KBV-36J) Eickhoff et al. (2020) [Data set, v11.0] [DOI: 10.25493/SDW0-YEZ](https://doi.org/10.25493%2FSDW0-YEZ) Eickhoff et al. (2020) [Data set, v12.0] [DOI: 10.25493/6CVK-W9](https://doi.org/10.25493%2F6CVK-W9) The most probable delineation of Area OP2 (POperc) 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) Amunts et al. (2021) [Data set, v2.6] [DOI: 10.25493/KJQN-AM0](https://doi.org/10.25493%2FKJQN-AM0) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)

本数据集包含MNI Colin 27参考空间中个体单被试模板内OP2区（POperc）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，该区域通过经典组织学标准及定量细胞构筑分析确定，分析所用材料为来自杜塞尔多夫大学遗体捐赠项目的10例人类尸检大脑的胞体染色组织切片。细胞构筑分析结果随后被映射至参考空间，其中每个体素被赋予属于OP2区（POperc）的概率值。OP2区（POperc）的概率图谱以NifTi格式提供，覆盖参考空间中的每个半球。Julich-Brain图谱依赖模块化、灵活且自适应的框架，该框架包含用于创建这些结构概率脑图谱的工作流程。请注意，方法学改进及针对新脑结构的概率估计更新，在某些情况下可能导致现有概率图谱与早期发布数据集相比出现可测量但可忽略的偏差。OP2区（POperc）的其他可用数据版本：Eickhoff等人（2018）[数据集，v9.2] [DOI: 10.25493/F8W5-HNB]（https://doi.org/10.25493%2FF8W5-HNB）Eickhoff等人（2019）[数据集，v9.4] [DOI: 10.25493/5KBV-36J]（https://doi.org/10.25493%2F5KBV-36J）Eickhoff等人（2020）[数据集，v11.0] [DOI: 10.25493/SDW0-YEZ]（https://doi.org/10.25493%2FSDW0-YEZ）Eickhoff等人（2020）[数据集，v12.0] [DOI: 10.25493/6CVK-W9]（https://doi.org/10.25493%2F6CVK-W9）通过计算当前已发布的所有Julich-Brain脑结构的最大概率图谱得出的OP2区（POperc）最可能轮廓可在此处获取：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）Amunts等人（2021）[数据集，v2.6] [DOI: 10.25493/KJQN-AM0]（https://doi.org/10.25493%2FKJQN-AM0）Amunts等人（2021）[数据集，v2.9] [DOI: 10.25493/VSMK-H94]（https://doi.org/10.25493%2FVSMK-H94）