Collegiate athlete brain data for white matter mapping and network neuroscience
Open Access
- 11 February 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Scientific Data
- Vol. 8 (1), 1-17
- https://doi.org/10.1038/s41597-021-00823-z
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.Keywords
Funding Information
- U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (5T32MH103213, 5T32MH103213)
- U.S. Department of Health & Human Services | NIH | National Institute of Mental Health
- National Science Foundation (1342962, 1734853, 1916518, 1636893, 1912270)
- U.S. Department of Health & Human Services | NIH | National Institute on Deafness and Other Communication Disorders (5R21DC013974-02)
- Microsoft Investigator Fellowship, the Indiana University Areas of Emergent Research Initiative “Learning: Brains, Machines, Children.”
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