Probabilistic cytoarchitectonic map of Area hOc3v (LingG) (v3.2)

This dataset contains the distinct probabilistic cytoarchitectonic map of Area hOc3v (LingG) 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 hOc3v (LingG). The probability map of Area hOc3v (LingG) 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 hOc3v (LingG): Rottschy et al. (2019) [Data set, v3.4] [DOI: 10.25493/E5E8-1VV](https://doi.org/10.25493%2FE5E8-1VV) The most probable delineation of Area hOc3v (LingG) 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)

本数据集包含MNI Colin 27参考空间的单个被试模板中，hOc3v（LingG）脑区的专属概率细胞构筑图谱（probabilistic cytoarchitectonic map）。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10例人类死后大脑的细胞体染色组织切片进行细胞构筑分析得以识别，这些脑组织样本取自杜塞尔多夫大学遗体捐赠项目。随后，细胞构筑分析的结果被配准至参考空间，其中每个体素都会被赋予属于hOc3v（LingG）脑区的概率值。本数据集以NIfTI格式提供了参考空间内双侧大脑半球的hOc3v（LingG）脑区概率图谱。Julich-Brain图谱基于模块化、灵活且可自适应的框架，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。hOc3v（LingG）脑区的其他可用数据版本包括：Rottschy等人（2019）[数据集，v3.4] [DOI: 10.25493/E5E8-1VV](https://doi.org/10.25493%2FE5E8-1VV)。可通过以下链接获取基于当前所有已发布Julich-Brain脑区的最大概率图谱计算得到的hOc3v（LingG）脑区最可靠边界划定结果：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)