Probabilistic cytoarchitectonic map of Dorsal Dentate Nucleus (Cerebellum) (v6.2)

This dataset contains the distinct architectonic Dorsal Dentate Nucleus (Cerebellum) 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 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 Dorsal Dentate Nucleus (Cerebellum). The probability map of Dorsal Dentate Nucleus (Cerebellum) 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 Dorsal Dentate Nucleus (Cerebellum): Tellmann et al. (2018) [Data set, v6.0] [DOI: 10.25493/G2RE-7PH](https://doi.org/10.25493%2FG2RE-7PH) The most probable delineation of Dorsal Dentate Nucleus (Cerebellum) 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)

本数据集包含了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，具有明确构筑学特征的背侧齿状核（小脑）(Dorsal Dentate Nucleus (Cerebellum))。作为朱利希脑细胞构筑图谱（Julich-Brain cytoarchitectonic atlas）的组成部分，该脑区通过对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细胞体染色组织学切片进行细胞构筑分析得以识别。随后将细胞构筑分析的结果映射至上述两个参考空间，其中每个体素均被赋予属于背侧齿状核（小脑）的概率值。针对每个脑参考空间及大脑半球，背侧齿状核（小脑）的概率图谱均以NIfTI格式(NIfTI format)提供。朱利希脑图谱依托一套模块化、灵活且自适应的框架，该框架包含用于生成上述脑区概率图谱的工作流。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出现细微偏差。背侧齿状核（小脑）的其他可用数据版本包括：Tellmann等人（2018）[数据集，v6.0] [DOI: 10.25493/G2RE-7PH](https://doi.org/10.25493%2FG2RE-7PH)。基于当前发布的所有朱利希脑脑区最大概率图谱计算得到的背侧齿状核（小脑）最可靠划定范围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)；Amunts等人（2021）[数据集，v2.6] [DOI: 10.25493/KJQN-AM0](https://doi.org/10.25493%2FKJQN-AM0)