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 shares minimally diffusion-weighted magnetic resonance imaging (dMRI) data, three models the diffusion signal in voxel, full-brain tractograms, segmentation major white matter tracts as well structural connectivity matrices. There is currently paucity similar datasets openly shared. Furthermore, challenges are collecting this type data. derivatives shared here can be used reference to study effects long-term exposure athletics, such repetitive head impacts. use advanced anatomical dMRI processing methods publicly available web services at brainlife.io.