Contact sports such as football result in hundreds of blows to the head in athletes each season. Traditional thought has suggested that majority of impacts have no meaningful relationship to cognitive function. Emerging research has suggested that sub-concussive impacts may result in negative changes to brain function. Ultimately, some impacts to the head will result in a concussion. Traditional management of concussions involves the clinical evaluation by a medical provider that is supported with the use of cognitive, balance, and symptom assessments. The injury diagnosis and return to play decision, however, are a subjective process. The highly variable clinical presentation of concussion makes an accurate diagnosis and return to play decision difficult. This problem is coupled with the knowledge that many of the common clinical assessments are not sensitive to post-concussion changes in performance. As such, there is a significant need for more sensitive measure of cognitive functioning. This investigation will implement a novel evaluation of electroencephalogram (EEG) recordings and standard clinical assessments in high school football athletes to evaluate concussive and sub-concussive impacts.
Aim 1 will examine how pre, mid, and post-season EEG evaluations relate to the frequency and magnitude of head impacts recorded with the Head Impact Telemetry (HIT) System.
Aim 2 will evaluate the relationship between post-concussion performance on EEG and standard clinical tests. The outcomes of this study will provide much needed insight into how sub-concussive impacts influence brain function and how clinical assessment tools relate to more sensitive measures of brain function. In addition, undergraduate and graduate athletic training students will have the opportunity to work on high level research and be mentored on biological research careers.

Public Health Relevance

Commonly implemented clinical assessment tools for sport concussion may not provide the necessary sensitivity for making a safe return to play decision. A new category of impact, the sub-concussive blow, is hypothesized to result in sub-clinical changes undetectable by standard testing methodologies. Novel assessment cerebral electrophysiology may provide more information on brain networks in concussed and sub-concussed athletes. This project will support the NIH's stated mission of extending the healthy life by identifying the effect of concussive and sub-concussive blows on brain networking and their associated life- long consequences.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Academic Research Enhancement Awards (AREA) (R15)
Project #
1R15NS081691-01
Application #
8431889
Study Section
Special Emphasis Panel (ZRG1-MDCN-E (96))
Program Officer
Hicks, Ramona R
Project Start
2012-09-15
Project End
2015-08-31
Budget Start
2012-09-15
Budget End
2015-08-31
Support Year
1
Fiscal Year
2012
Total Cost
$434,957
Indirect Cost
$134,957
Name
University of Michigan Ann Arbor
Department
Type
Other Domestic Higher Education
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Broglio, Steven P; Williams, Richelle; Rettmann, Ashley et al. (2018) No Seasonal Changes in Cognitive Functioning Among High School Football Athletes: Implementation of a Novel Electrophysiological Measure and Standard Clinical Measures. Clin J Sport Med 28:130-138
Broglio, Steven P; Williams, Richelle; Lapointe, Andrew et al. (2017) Brain Network Activation Technology Does Not Assist with Concussion Diagnosis and Return to Play in Football Athletes. Front Neurol 8:252
O'Connor, Kathryn L; Peeters, Thomas; Szymanski, Stefan et al. (2017) Individual Impact Magnitude vs. Cumulative Magnitude for Estimating Concussion Odds. Ann Biomed Eng 45:1985-1992
Broglio, Steven P; Williams, Richelle M; O'Connor, Kathryn L et al. (2016) Football Players' Head-Impact Exposure After Limiting of Full-Contact Practices. J Athl Train 51:511-8
Williams, Richelle M; Dowling, Margaret; O'Connor, Kathryn L (2016) Head Impact Measurement Devices. Sports Health 8:270-273
Eckner, James T; Rettmann, Ashley; Narisetty, Naveen et al. (2016) Stability of an ERP-based measure of brain network activation (BNA) in athletes: A new electrophysiological assessment tool for concussion. Brain Inj 30:1075-81
Broglio, Steven P; Collins, Michael W; Williams, Richelle M et al. (2015) Current and emerging rehabilitation for concussion: a review of the evidence. Clin Sports Med 34:213-31
Williams, Richelle M; Puetz, Tim W; Giza, Christopher C et al. (2015) Concussion recovery time among high school and collegiate athletes: a systematic review and meta-analysis. Sports Med 45:893-903