Probabilistic cytoarchitectonic map of Area FG4 (FusG) (v6.0)

This dataset contains the distinct probabilistic cytoarchitectonic map of Area FG4 (FusG) 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 FG4 (FusG). The probability map of Area FG4 (FusG) 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 FG4 (FusG): Lorenz et al. (2019) [Data set, v6.1] [DOI: 10.25493/13RG-FYV](https://doi.org/10.25493%2F13RG-FYV) The most probable delineation of Area FG4 (FusG) 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（MNI Colin 27 reference space）中单一个体受试者模板内的FG4区（FusG）专属概率性细胞构筑图谱（probabilistic cytoarchitectonic map）。作为于利希脑（Julich-Brain）细胞构筑图谱的组成部分，该区域通过经典组织学标准与定量细胞构筑分析完成鉴定，分析样本取自杜塞尔多夫大学遗体捐赠项目获取的10例人类死后大脑的胞体染色组织切片。随后将细胞构筑分析结果映射至参考空间，每个体素（voxel）均被赋予属于FG4区（FusG）的概率值。本数据集为参考空间内的每个大脑半球提供了NIfTI格式的FG4区（FusG）概率图谱。于利希脑图谱依托模块化、灵活且可适配的框架，包含用于生成此类结构概率脑图谱的工作流。请注意：与此前发布的数据集相比，方法学改进以及针对全新脑结构的概率估值更新，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。FG4区（FusG）的其他可用数据版本：Lorenz等人（2019）[数据集，v6.1] [DOI: 10.25493/13RG-FYV](https://doi.org/10.25493%2F13RG-FYV)。基于当前所有已发布的于利希脑结构的最大概率图谱计算得到的FG4区（FusG）最可靠划定边界可通过以下链接获取：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)