A prospective study of physician-observed concussion during a varsity university hockey season: metabolic changes in ice hockey players. Part 4 of 4.

OBJECT Despite negative neuroimaging findings using traditional neuroimaging methods such as MRI and CT, sports-related concussions have been shown to cause neurometabolic changes in both the acute and subacute phases of head injury. However, no prospective clinical study has used an independent physician-observer design in the monitoring of these changes. The objective of this study was to evaluate the effects of repetitive concussive and sub-concussive head impacts on neurometabolic concentrations in a prospective study of two Canadian Interuniversity Sports (CIS) ice hockey teams using MR spectroscopy (MRS). METHODS Forty-five ice hockey players (25 men and 20 women) participated in this study. All participants underwent pre- and postseason MRI, including spectroscopy imaging, using a 3-T MRI machine. The linear combination model was used to quantify the following ratios: glutamate/creatine-phosphocreatine (Cr), myoinositol/Cr, and N-acetylaspartate (NAA)/Cr. Individuals sustaining a medically diagnosed concussion were sent for MRI at 72 hours, 2 weeks, and 2 months after injury. RESULTS No statistically significant differences were observed between athletes who were diagnosed with a concussion and athletes who were not clinically diagnosed as sustaining a concussion. Although no statistically significant longitudinal metabolic changes were observed among athletes who were diagnosed with a concussion, the results demonstrated a predictable pattern of initial impairment, followed by a gradual return to ratios that were similar to, but lower than, baseline ratios. No significant pre- to postseason changes were demonstrated among men who were not observed to sustain a concussion. However, a substantively significant decrease in the NAA/Cr ratio was noted among the female hockey players (t((13)) = 2.58, p = 0.02, η(2) = 0.34). CONCLUSIONS A key finding in this study, from the standpoint of future research design, is the demonstration of substantively significant metabolic changes among the players who were not diagnosed with a concussion. In addition, it may explain why there are few statistically significant differences demonstrated between players who were diagnosed with a concussion and players who were not diagnosed with a concussion (that is, the potency of the independent variable was diminished by the fact that the group of players not diagnosed with a concussion might be better described as a subgroup of the players who may have sustained a concussion but were not observed and diagnosed with a concussion). This result suggests that definitions of concussion may need to be revisited within sports with high levels of repetitive subconcussive head impacts. Future analysis of these data will examine the relationships between the modes of MRI (diffusion tensor imaging, MRS, and susceptibility-weighted MR imaging) used in this study, along with other more sensitive evaluative techniques. This type of intermodal comparison may improve the identification of concussions that were previously dependent on the unreliable self-reporting of recognized concussion symptomatology by the athlete or on poorly validated neuropsychological tests.

[1]  Roberto Delfini,et al.  Temporal window of metabolic brain vulnerability to concussion: a pilot 1H-magnetic resonance spectroscopic study in concussed athletes--part III. , 2008, Neurosurgery.

[2]  Alan C. Evans,et al.  Sports concussions and aging: a neuroimaging investigation. , 2012, Cerebral cortex.

[3]  Roberto Sorge,et al.  Assessment of metabolic brain damage and recovery following mild traumatic brain injury: a multicentre, proton magnetic resonance spectroscopic study in concussed patients. , 2010, Brain : a journal of neurology.

[4]  S. Marshall,et al.  Acute effects and recovery time following concussion in collegiate football players: the NCAA Concussion Study. , 2003, JAMA.

[5]  Andrew M. Johnson,et al.  A prospective study of physician-observed concussions during junior ice hockey: implications for incidence rates. , 2010, Neurosurgical focus.

[6]  Sébastien Tremblay,et al.  Brain Function Decline in Healthy Retired Athletes who Sustained their Last Sports Concussion in Early Adulthood , 2009, NeuroImage.

[7]  Paul Sean Echlin,et al.  Concussion education, identification,and treatment within a prospective study of physician-observed junior ice hockey concussions: social context of this scientific intervention. , 2010, Neurosurgical focus.

[8]  S. Provencher Estimation of metabolite concentrations from localized in vivo proton NMR spectra , 1993, Magnetic resonance in medicine.

[9]  H. Levin,et al.  Diffusion tensor imaging of acute mild traumatic brain injury in adolescents , 2008, Neurology.

[10]  S. Tremblay,et al.  Metabolic changes in concussed American football players during the acute and chronic post-injury phases , 2011, BMC neurology.

[11]  Sarah K Fields,et al.  Epidemiology of Concussions Among United States High School Athletes in 20 Sports , 2012, The American journal of sports medicine.

[12]  Mark Hallett,et al.  Metabolic alterations in corpus callosum may compromise brain functional connectivity in MTBI patients: An 1H-MRS study , 2012, Neuroscience Letters.

[13]  Joseph J Crisco,et al.  Gender differences in head impacts sustained by collegiate ice hockey players. , 2012, Medicine and science in sports and exercise.

[14]  D. Hovda,et al.  The Neurometabolic Cascade of Concussion. , 2001, Journal of athletic training.

[15]  S. Tremblay,et al.  Neurometabolic changes in the acute phase after sports concussions correlate with symptom severity. , 2010, Journal of neurotrauma.

[16]  B. Jordan,et al.  The Cumulative Effect of Repetitive Concussion in Sports , 2001, Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine.

[17]  C. Braun,et al.  Brain metabolic differences as a function of hemisphere, writing hand preference, and gender , 2002, Laterality.

[18]  Tong Zhu,et al.  Subject-specific changes in brain white matter on diffusion tensor imaging after sports-related concussion. , 2012, Magnetic resonance imaging.

[19]  G. Houston,et al.  Microstructural brain injury in post-concussion syndrome after minor head injury , 2010, Neuroradiology.

[20]  Stephen W Marshall,et al.  Descriptive epidemiology of collegiate women's ice hockey injuries: National Collegiate Athletic Association Injury Surveillance System, 2000-2001 through 2003-2004. , 2007, Journal of athletic training.

[21]  S. Marshall,et al.  Association between Recurrent Concussion and Late-Life Cognitive Impairment in Retired Professional Football Players , 2005, Neurosurgery.

[22]  R. Cantu,et al.  Consensus statement on Concussion in Sport 3rd International Conference on Concussion in Sport held in Zurich, November 2008. , 2009, Clinical journal of sport medicine : official journal of the Canadian Academy of Sport Medicine.

[23]  R. Cantu Assessment of metabolic brain damage and recovery following mild traumatic brain injury: a multicentre, proton magnetic resonance spectroscopic study in concussed patients , 2011 .

[24]  J. Langlois,et al.  The Epidemiology and Impact of Traumatic Brain Injury: A Brief Overview , 2006, The Journal of head trauma rehabilitation.

[25]  M. Hallett,et al.  The use of magnetic resonance spectroscopy in the subacute evaluation of athletes recovering from single and multiple mild traumatic brain injury. , 2012, Journal of neurotrauma.

[26]  Andrew M. Johnson,et al.  A prospective study of physician-observed concussion during a varsity university ice hockey season: incidence and neuropsychological changes. Part 2 of 4. , 2012, Neurosurgical focus.

[27]  P. Fillard,et al.  Diffusion Tensor Imaging Characteristics of the Corpus Callosum in Mild, Moderate, and Severe Traumatic Brain Injury , 2008, American Journal of Neuroradiology.

[28]  J Dvorak,et al.  Summary and agreement statement of the 2nd International Conference on Concussion in Sport, Prague 2004. , 2005, British journal of sports medicine.

[29]  Stephen W Marshall,et al.  Descriptive epidemiology of collegiate men's football injuries: National Collegiate Athletic Association Injury Surveillance System, 1988-1989 through 2003-2004. , 2007, Journal of athletic training.

[30]  J. Agel,et al.  Epidemiology of collegiate injuries for 15 sports: summary and recommendations for injury prevention initiatives. , 2007, Journal of athletic training.

[31]  R. Cantu,et al.  Long-term and Cumulative Effects of Sports Concussion on Motor Cortex Inhibition , 2008 .

[32]  P. Fillard,et al.  Brain MR diffusion tensor imaging and fibre tracking to differentiate between two diffuse axonal injuries , 2005, Neuroradiology.

[33]  Kelvin O. Lim,et al.  Evidence of disrupted functional connectivity in the brain after combat-related blast injury , 2011, NeuroImage.