Van Essen David C, Smith John, Glasser Matthew F, Elam Jennifer, Donahue Chad J, Dierker Donna L, Reid Erin K, Coalson Timothy, Harwell John
Neuroscience Department, Washington University School of Medicine, St. Louis, MO, United States.
Neuroscience Department, Washington University School of Medicine, St. Louis, MO, United States.
Neuroimage. 2017 Jan;144(Pt B):270-274. doi: 10.1016/j.neuroimage.2016.04.002. Epub 2016 Apr 10.
We report on a new neuroimaging database, BALSA, that is a repository for extensively analyzed neuroimaging datasets from humans and nonhuman primates. BALSA is organized into two distinct sections. BALSA Reference is a curated repository of reference data accurately mapped to brain atlas surfaces and volumes, including various types of anatomically and functionally derived spatial maps as well as brain connectivity. BALSA Studies is a repository of extensively analyzed neuroimaging and neuroanatomical datasets associated with specific published studies, as voluntarily submitted by authors. It is particularly well suited for sharing of neuroimaging data as displayed in published figures. Uploading and downloading of data to BALSA involves 'scene' files that replicate how datasets appear in Connectome Workbench visualization software. Altogether, BALSA offers efficient access to richly informative datasets that are related to but transcend the images available in scientific publications.
我们报告了一个新的神经影像数据库BALSA,它是一个用于存储经过广泛分析的人类和非人类灵长类动物神经影像数据集的仓库。BALSA分为两个不同的部分。BALSA参考资料是一个精心策划的参考数据仓库,精确映射到脑图谱表面和体积,包括各种解剖学和功能衍生的空间图谱以及脑连接性。BALSA研究是一个与特定已发表研究相关的经过广泛分析的神经影像和神经解剖学数据集的仓库,由作者自愿提交。它特别适合共享已发表图中显示的神经影像数据。向BALSA上传和下载数据涉及“场景”文件,这些文件可复制数据集在Connectome Workbench可视化软件中的显示方式。总之,BALSA提供了对丰富信息数据集的高效访问,这些数据集与科学出版物中的图像相关但又超越了这些图像。