Whole-brain parcellation of the Julich-Brain Cytoarchitectonic Atlas (v2.2)

This dataset contains the whole-brain parcellation of the Julich-Brain Cytoarchitectonic Atlas in the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space ([Evans et al., 2012](https://www.sciencedirect.com/science/article/pii/S1053811912000419?via%3Dihub)). The parcellation is derived from the individual probability maps (PMs) of the cytoarchitectonic regions released in the Julich-Brain Cytoarchitectonic Atlas, that are further combined into a Maximum Probability Map (MPM). The MPM is calculated by considering for each voxel the probability of all cytoarchitectonic areas released in the atlas, and determining the most probable assignment ([Eickhoff 2005](https://www.sciencedirect.com/science/article/pii/S105381190400792X?via%3Dihub)). Gap maps complement cortical maps to achieve full cortical coverage. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.

这个数据集包含尤利希脑细胞构筑图谱（Julich-Brain Cytoarchitectonic Atlas）在MNI Colin 27以及MNI ICBM 152 2009c非线性非对称参考空间中的全脑分割结果（[Evans et al., 2012](https://www.sciencedirect.com/science/article/pii/S1053811912000419?via%3Dihub)）。该分割结果源自尤利希脑细胞构筑图谱中发布的细胞构筑区域的个体概率图（PMs），这些概率图进一步合并为最大概率图（MPM）。MPM的计算方式为：针对图谱中发布的所有细胞构筑区域，考虑每个体素的概率，并确定其最可能的分配（[Eickhoff 2005](https://www.sciencedirect.com/science/article/pii/S105381190400792X?via%3Dihub)）。间隙图可补充皮质图，以实现完整的皮质覆盖。请注意，方法学改进及新脑结构的整合可能导致早期发布数据集出现微小偏差。