. Football head injuries involve significant forces and can result in mild to severe traumatic brain injuries. While this has received increasing attention at the professional, collegiate, and high school levels, there is scarce if any data available for participants in the youth leagues (8-12 years old). This study will relate information about head motion during a hit in youth football to neurocognitive and imaging data to determine the effects of subconcussive impacts, and the true incidence of cognitive and objective imaging changes. All elements of this study focus on the objective to increase understanding of pediatric mild Traumatic Brain Injury (mTBI) and prospectively collect biomechanical, imaging, functional, and computational modeling data on a scale never before attempted. This project integrates neuroinformatics work and the computational modeling techniques developed by Drs. Maldjian and Stitzel at Wake Forest University Health Sciences (WFUHS). It leverages the investments by WFUHS which has identified, instrumented, and begun recruiting the target population and funding the initial year as part of our ongoing work in this area of critical public importance. Th long term benefit of the research will be to allow equipment designers, researchers, and clinicians to better prevent, mitigate, identify and treat injuries to help make youth league football a safer activity for millions of children.
This study will relate information about head motion during a hit in youth football to neurocognitive and imaging data to determine the effects of subconcussive impacts on the brain. The long term benefit of the research will be to allow equipment designers, researchers, and clinicians to better prevent, mitigate, identify and treat injuries to help make youth league football a safer activity for millions of children.
| Miller, Logan E; Urban, Jillian E; Stitzel, Joel D (2017) Validation performance comparison for finite element models of the human brain. Comput Methods Biomech Biomed Engin 20:1273-1288 |
| O'Neill, Thomas J; Davenport, Elizabeth M; Murugesan, Gowtham et al. (2017) Applications of Resting State Functional MR Imaging to Traumatic Brain Injury. Neuroimaging Clin N Am 27:685-696 |
| Miller, Logan E; Urban, Jillian E; Stitzel, Joel D (2016) Development and validation of an atlas-based finite element brain model. Biomech Model Mechanobiol 15:1201-14 |
| Davenport, Elizabeth M; Urban, Jillian E; Mokhtari, Fatemeh et al. (2016) Subconcussive impacts and imaging findings over a season of contact sports. Concussion 1:CNC19 |
| Bahrami, Naeim; Sharma, Dev; Rosenthal, Scott et al. (2016) Subconcussive Head Impact Exposure and White Matter Tract Changes over a Single Season of Youth Football. Radiology 281:919-926 |
| Maldjian, Joseph A; Shively, Carol A; Nader, Michael A et al. (2016) Multi-Atlas Library for Eliminating Normalization Failures in Non-Human Primates. Neuroinformatics 14:183-90 |
| Maldjian, Joseph A; Davenport, Elizabeth M; Whitlow, Christopher T (2014) Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode. Neuroimage 96:88-94 |
| Davenport, Elizabeth M; Whitlow, Christopher T; Urban, Jillian E et al. (2014) Abnormal white matter integrity related to head impact exposure in a season of high school varsity football. J Neurotrauma 31:1617-24 |
| Urban, Jillian E; Davenport, Elizabeth M; Golman, Adam J et al. (2013) Head impact exposure in youth football: high school ages 14 to 18 years and cumulative impact analysis. Ann Biomed Eng 41:2474-87 |
