bioRxiv · 10.1101/2020.08.25.267005
Collegiate athlete brain data for white matter mapping and network neuroscience
Abstract
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.
Source connections
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Caron, B., Stuck, R., McPherson, B., Bullock, D., Kitchell, L., Faskowitz, J., Kellar, D., Cheng, H., Newman, S., Port, N., Pestilli, F.. 2020-08-26. Collegiate athlete brain data for white matter mapping and network neuroscience. https://doi.org/10.1101/2020.08.25.267005
Cite the original work for its findings. Save a collection to share your selection of sources.