Interpolated 3D map of Area 6d3 (SFS) in the BigBrain
收藏DataCite Commons2021-07-20 更新2025-04-15 收录
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https://kg.ebrains.eu/search/instances/Dataset/72bf4008-78a6-41e0-9337-61ec53c39c27
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This dataset contains cytoarchitectonic maps of Area 6d3 (SFS) in the Big Brain dataset [Amunts et al. 2013]. The mappings were created using the semi-automatic method presented in Schleicher et al. 1999, based on coronal histological sections on 1 micron resolution. Mappings are available on approximately every 15-60th section of this region. They were then aligned to the corresponding sections of the 3D reconstructed Big Brain space, using the transformations used in Amunts et al. 2013, kindly provided by Claude Lepage (McGill University). From these delineations, a preliminary 3D map of Area 6d3 (SFS) has been created by simple interpolation of the coronal contours in the 3D anatomical space of the Big Brain. This map gives a first impression of the location of this area in the Big Brain, and can be viewed in the atlas viewer using the URL below. A full mapping of this area in every histological section using a Deep Learning approach is in progress. **Additional information:** The reference delineations used for this map are part of the work for the corresponding probabilistic map of Area 6d3 (SFS) of the JuBrain Cytoarchitectonic Atlas, published in: Sigl et al. (2019) [Data set, v4.0] [DOI: 10.25493/40J8-TAK](https://doi.org/10.25493%2F40J8-TAK) Sigl et al. (2019) [Data set, v4.1] [DOI: 10.25493/NVJ5-JJ](https://doi.org/10.25493%2FNVJ5-JJ)
本数据集包含Big Brain数据集(Big Brain Dataset)中6d3区(SFS)的细胞构筑图谱。该套图谱采用Schleicher等人1999年提出的半自动方法构建,基于分辨率为1微米的冠状组织学切片。本区域约每15至60个切片即提供一组图谱。随后借助Amunts等人2013年研究中使用的配准变换(由麦吉尔大学的Claude Lepage慷慨提供),将这些图谱对齐至三维重建的Big Brain空间的对应切片。
基于上述解剖勾画,通过在Big Brain的三维解剖空间中对冠状轮廓进行简单插值,已生成6d3区(SFS)的初步三维图谱。该图谱可直观展示该区域在Big Brain中的定位,可通过下方URL在图谱浏览器中查看。采用深度学习方法对该区域所有组织学切片进行完整标注的工作正在推进中。
**补充说明:** 本图谱所使用的参考勾画,属于JuBrain细胞构筑图谱(JuBrain Cytoarchitectonic Atlas)中6d3区(SFS)对应概率图谱研究工作的一部分,相关成果发表于:Sigl等人(2019)[数据集,v4.0] [DOI: 10.25493/40J8-TAK](https://doi.org/10.25493%2F40J8-TAK);Sigl等人(2019)[数据集,v4.1] [DOI: 10.25493/NVJ5-JJ](https://doi.org/10.25493%2FNVJ5-JJ)
提供机构:
Human Brain Project Neuroinformatics Platform
创建时间:
2019-06-05



