Relationship Between Time-Weighted Head Impact Exposure on Directional Changes in Diffusion Imaging in Youth Football Players

• Published in: Annals of biomedical engineering 2021-10, Vol.49 (10), p.2852-2862
• Main Authors: Puvvada, Suraj K., Davenport, Elizabeth M., Holcomb, James M., Miller, Logan E., Whitlow, Christopher T., Powers, Alexander K., Maldjian, Joseph A., Stitzel, Joel D., Urban, Jillian E.
• Format: Article
• Language: English
• Subjects: Adolescents; Athletes; Athletic Injuries - diagnostic imaging; Biochemistry; Biological and Medical Physics; Biomechanical Phenomena; Biomechanics; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Biophysics; Brain - diagnostic imaging; Child; Classical Mechanics; Concussion; Concussions in Sports; Craniocerebral Trauma - diagnostic imaging; Dependent variables; Diffusion rate; Diffusion Tensor Imaging; Football; Football - injuries; Head; Head injuries; Humans; Imaging; Magnetic resonance imaging; Neurological complications; Tensors
• ISSN: 0090-6964; 1573-9686
• DOI: 10.1007/s10439-021-02862-4

Approximately 3.5 million youth and adolescents in the US play football, a sport with one of the highest rates of concussion. Repeated subconcussive head impact exposure (HIE) may lead to negative neurological sequelae. To understand HIE as an independent predictive variable, quantitative cumulative kinematic metrics have been developed to capture the volume (i.e., number), severity (i.e., magnitude), and frequency (i.e., time-weighting by the interval between head impacts). In this study, time-weighted cumulative HIE metrics were compared with directional changes in diffusion tensor imaging (DTI) metrics. Changes in DTI conducted on a per-season, per-player basis were assessed as a dependent variable. Directional changes were defined separately as increases and decreases in the number of abnormal voxels relative to non-contact sport controls. Biomechanical and imaging data from 117 athletes (average age 11.9 ± 1.0 years) enrolled in this study was analyzed. Cumulative HIE metrics were more strongly correlated with increases in abnormal voxels than decreases in abnormal voxels. Additionally, across DTI sub-measures, increases and decreases in mean diffusivity (MD) had the strongest relationships with HIE metrics (increases in MD: average R 2 = 0.1753, average p = 0.0002; decreases in MD: average R 2 = 0.0997, average p = 0.0073). This encourages further investigation into the physiological phenomena represented by directional changes.