Program in Neuroscience, Indiana University, 702 North Walnut Grove St, Bloomington, IN, 47405, USA.
School of Optometry, Indiana University, 800 E. Atwater Avenue, Bloomington, IN, 47405, USA.
Sci Data. 2021 Feb 11;8(1):56. doi: 10.1038/s41597-021-00823-z.
We describe a dataset of processed data with associated reproducible preprocessing pipeline collected from two collegiate athlete groups and one non-athlete group. The dataset shares minimally processed diffusion-weighted magnetic resonance imaging (dMRI) data, three models of the diffusion signal in the voxel, full-brain tractograms, segmentation of the major white matter tracts as well as structural connectivity matrices. There is currently a paucity of similar datasets openly shared. Furthermore, major challenges are associated with collecting this type of data. The data and derivatives shared here can be used as a reference to study the effects of long-term exposure to collegiate athletics, such as the effects of repetitive head impacts. We use advanced anatomical and dMRI data processing methods publicly available as reproducible web services at brainlife.io.
我们描述了一个经过处理的数据数据集，其中包含从两个大学生运动员群体和一个非运动员群体收集的相关可重现预处理管道。该数据集共享经过最小处理的弥散加权磁共振成像（dMRI）数据、体素中扩散信号的三个模型、全脑束追踪图、主要白质束的分割以及结构连接矩阵。目前，类似的公开共享数据集很少。此外，收集此类数据还存在主要挑战。此处共享的数据及其衍生产品可用作研究长期接触大学生体育活动（例如重复头部冲击的影响）影响的参考。我们使用公开提供的先进的解剖学和 dMRI 数据处理方法，这些方法作为可重现的网络服务在 brainlife.io 上可用。
