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. Author manuscript; available in PMC: 2022 Jun 27.
Published in final edited form as: Clin Sports Med. 2021 Jan;40(1):39–51. doi: 10.1016/j.csm.2020.08.001

THE MOLECULAR PATHOPHYSIOLOGY OF CONCUSSION

David R Howell 1,2, Julia Southard 1,3
PMCID: PMC9234944  NIHMSID: NIHMS1817709  PMID: 33187612

Introduction

Concussion, a type of mild traumatic brain injury (mTBI), has been defined through expert consensus as a complex pathophysiological process that is the result of head trauma, and produces an onset of non-specific signs or symptoms and/or changes in mental function.1 For clinicians who diagnose and manage concussions, decision-making can be challenging and imprecise due to the limited clinical tools available to understand post-injury deficits, and the translation of knowledge from the underlying pathophysiological processes responsible for signs and symptoms to clinical care.2 Although concussion incidence increased from the early 2000s to mid-2010’s,3,4 more recent research indicates that sport-related concussions sustained during practice have decreased, as well as recurrent concussion rates from 2013–2018.5 These results suggest that perhaps medical management of concussion has evolved, and the use of updated practice approaches and preventative strategies may be helping to reduce concussion incidence. Despite these advancements, the physiological processes that underlie the signs and symptoms of concussion, accurate methods to reliably diagnose concussion, and the time course of physiologic recovery remain difficult to discern.6

Currently, concussion remains a clinical diagnosis with few objective and widely used assessments that measure physiological functions,7 in part due to the lack of paradigms available to assess pathophysiological responses to injury in a feasible clinically-viable manner. Some approaches such as advanced neuroimaging, cerebral blood flow assessment, or fluid biomarker analysis allow for the detection of persistent biological disruptions after clinically observed recovery,6 but the utility of these techniques within widespread clinical practice is low. As a result, concussion diagnosis is less precise than other injuries, such as musculoskeletal sport injuries, which may alter the perception of recovery.7 Despite this challenge, concussion management guidelines have evolved considerably over the past two decades.1,2,8,9 Assessment methods such as the Sport Concussion Assessment Tool (SCAT), and each subsequent version are intended for sideline use, and contain a high positive predictive value for concussion identification.1015 According to the most recent guidelines by various medical associations and expert consensus groups, a critical aspect of concussion management is a multifaceted measurement approach intended to examine the various physiologic functions that disrupted by a concussion. These include, but are not limited to, assessments of symptoms, mental status, neurological function, vision, gait, balance, and sleep/wake disturbances.1,2,9 These approaches, however, have demonstrated a less than optimal level of reliability across time.16 Furthermore, recovery as identified by these measures may not truly reflect the physiologic restoration of the brain, leading to further complications after clearance to return to pre-injury activities, such as sports.6,17 Studies using neuroimaging or animal models have also shown that physiologic restoration of the brain takes longer than symptoms.18 Therefore, a thorough understanding of the physiologic disruption that occurs following concussion may provide a translational link between impaired cell biology and appropriate clinical methods to consider when diagnosing and developing rehabilitation strategies for individuals with a concussion.

While many clinical studies focus on the diagnostic accuracy of different assessments for concussion or track the trajectory of recovery,1921 interpretation of changes across time continue to suffer from the difficulty of disentangling the effects of recovery compared to practice or learning effects. Furthermore, many assessment approaches are subjective in nature,13 mitigating the ability to address causality within an investigation. As such, experimental models of concussion, primarily among rodents, have been used to better understand the mechanisms that underlie clinical signs and symptoms apparent following a concussion.22 Among the more common models that have been used to this point, closed-skull weight drop,23,24 lateral fluid percussion,2528 controlled cortical impact,29,30 and closed-skull controlled impact3133 models have each been developed to explore molecular alterations, ion fluxes, the role of excitatory neurotransmitters in dysfunction, and glucose metabolism. Therefore, the purpose of this review article is to discuss the molecular pathophysiology of concussion by examining each of the aforementioned aspects as they relate to concussion and their potential clinical implications. An emphasis of translational aspects of the work done in this area is provided so that clinicians who diagnose, manage, and treat individuals with concussion can approach decision-making with an understanding of mechanisms responsible for clinical observations.

Neurometabolic Cascade of Concussion

The understanding of the acute pathophysiology of concussion has been laid out by many different researchers, led primarily by the work of Giza, Hovda, and colleagues.34,35 In response to a concussive event, a cascade of pathophysiological events occur simultaneously, leading to potential changes in mental status, symptoms, cognitive function, or motor control. While a complex set of processes are responsible for each of these dysfunctional outcomes, researchers hypothesize that these changes are primarily the result of an abrupt neuronal depolarization, glucose metabolism changes, excitatory neurotransmitter release, altered cerebral blood flow, and disrupted axonal function, each occurring concurrently at different stages following the concussive event.34 At the cellular level, potassium flows out of the neuron, and sodium and calcium flow in. These altered ionic flux processes then trigger voltage- or ligand-gated ion channels throughout the brain, and the result is a “widespread neuronal depression” state, priming the cell for barrier dysfunction as well as the inability to clear debris, resolve inflammation, and release trophic factors to repair neuronal connections.36

Due to the ionic shifts following injury, the cell attempts to restore homeostasis via membrane ionic pumps. These pumps require energy, which is quickly exhausted.37 The ability to deliver energy, via ATP, to the cell is also impaired after a concussion, resulting in an “energy crisis”.35 In essence, there is a high demand for energy to restore homeostasis (i.e. ionic pumps) paired with the simultaneous decreased ability to deliver energy (i.e. altered cerebral blood flow). Furthermore, mitochondrial dysfunction may also occur due to the increased calcium present with the cell, worsening the mismatch between demand for energy and the ability to produce or deliver energy. This state of mismatched energy demands may last for up to 10 days in adult animal models, and relates to behavioral impairments,35,37 but the duration of recovery for these processes are not known in humans. This likely varies due to cellular, individual, and environmental differences between people, although further investigations in humans are needed to determine which factors affect post-concussion cellular restoration.

The damage that occurs following concussion can also affect neuronal architecture. The integrity of microstructural features such as axons and microtubules collapse as a result of the calcium influx and subsequent phosphorylation, or axonal stretch.35,38 Due to the shear and/or tensile forces present during the traumatic insult, cellular transportation disruptions and axonal swelling have been observed.38,39 In the pediatric population specifically, axonal myelination may affect the degree of disruption. Given ongoing myelination during brain development, the axonal fibers and associated microstructures may be more vulnerable to traumatic injury in childhood relative to adulthood.40 Advanced neuroimaging approaches may yield insights into disrupted axonal structure: Diffusion Tensor Imaging (DTI) has been used to measure the diffusion properties of water, thus providing a detailed view of how microstructural tissue functions.41 However, current widespread use of advanced neuroimaging approaches for clinical purposes does not occur. Recent research is encouraging related to its potential in the future.42,43

In addition to the energy crisis and neuromechanical deformation of cells leading to cellular disruption, neuroinflammation may occur and lead to functional changes. In rodent models, inflammatory genes have been reported to upregulate,44 and acute neuroinflammatory responses were seen such as greater microglia/macrophage presence and reactive astrogliosis.45 Thus, inflammation may be a source of neuronal disruption following a concussive event. Greater concentrations of inflammatory markers in the brain may reduce behavioral responses, and metabolites such as myo-Inositol (mI: an osmolyte) has been used as a marker of neuroinflammation.46 MI is a marker of astrocytes which become hypertrophic during inflammatory responses to injury,47 and increases following concussion due to membrane damage.48,49 Given that traditional neuroimaging cannot adequately identify post-concussion alterations, magnetic resonance spectroscopy allows for detection of subtle abnormalities by measuring brain metabolites.4951 A quantitative, non-invasive measurement apparatus, MRS has been used for diagnosis and prognosis in severe TBI,52 mild TBI,53,54 and among former collision sport athletes.51,5559 These studies indicate MRS can identify otherwise unnoticed deficits after concussion or repetitive head trauma, and point to pathophysiological changes such as neuroinflammation.60

Excitatory Neurotransmitters and Ion Flux

Within the neurometabolic cascade of events that occurs after a concussion, an acute increase in excitatory neurotransmitters release likely causes alterations to glutamate, ion channels and NMDA receptor function.34 Following acute trauma, damage-associated molecular patterns (DAMPs), glutamate/glutamine, sodium, potassium and calcium reach elevated levels for prolonged periods, altering cell function. DAMPs are proteins, nucleic acids, and other molecules that are present in cells prior to injury,61 that remain dormant until injury occurs and an immune response is elicited.62 While investigated within in the context of cancer and rheumatoid arthritis, researchers are now investigating a possible connection between DAMPs and neuro-inflammation following concussion in and around extracellular space.63 Adenosine 5′-triphosphoate (ATP) acts as an important type of DAMP with both intra- and extracellular roles following a concussive event.64 ATP is mediated by purinergic receptors, but the mechanisms of these receptors following traumatic neuronal insult are not well established.61 ATP and HMGB1 are secreted passively from dead cells and actively secreted by stressed cells64 to recruit immune cells, stem cells, and neighboring cells to clear debris and generate new tissue growth.65 HMGB1, another type of DAMP, has been identified as the proangiogenic factor that stimulates endothelial cells and macrophages, allowing for blood vessel repair and growth in damaged tissue.6567 Release of ATP and HMGB1 precedes microglia activation and other immune signals.68 Microglia are the “immune cells” of the central nervous system, and are among the first responders after damage.68,69 Microglia appear as early as 6 hours following concussion, with noticeable morphological changes within 72 hours after injury.70 The release of DAMPs and microglia activation occur rapidly in extracellular space after injury, and are associated with poor outcomes post-trauma.68,71,72 Related to behavioral changes, outcomes among rodent models include decreased memory,32,73,74 altered motor coordination,75 and cognitive impairments.74,76

In addition to damaged cells releasing DAMPs following a concussion or TBI, cells also release an increased concentration of glutamine and glutamate.7779 Glutamate receptors are ligand-gated ion channels that allow the passage of sodium and potassium, and in some cases small amounts of calcium.80 Glutamate receptors produce post-synaptic excitatory responses, perpetuating the release of glutamate and allowing for an increased ionic flow rate. This leads to the synapses becoming toxic and increasing the risk of neuronal death. A toxic environment then activates protective mechanisms, where astrocytes mediate extracellular toxicity. Glutamate transporter 1 (GLT-1) and glutamate aspartate transporter (GLAST) are high-affinity sodium-dependent glial transporters that mediate the bulk of glutamate transport. In astrocytes, glutamate is converted to glutamine by glutamine synthase and shuttled back to the presynaptic neuron to be utilized.81 However, a glutamate overload affects shuttling capabilities, leading to further damage due to altered sodium concentrations. Rao et al82 reported that excitotoxic neuronal death may occur as a result of TBI generating a transient down-regulation of transporter proteins (GLT-1 and GLAST) within the injured side of the cortex.82 Without these transporters working efficiently, the toxicity of the cell cannot be mediated, resulting in cell death. Greater glutamate concentrations may also cause overstimulation of NMDA receptors, resulting in increased potassium and calcium concentration and flux through the neuronal membrane.83,84 Accumulations have been identified during a concussive event in animal models,85 but return to homeostatic levels may occur as soon as three hours in mild to moderately injured cells.83,86

While existing research primarily focuses on increased intra and extracellular concentrations of calcium perpetuating cell death, Zander et al. suggest that sodium should also receive consideration.87 Calcium influx increases into the cell after potassium efflux and sodium influx, which creates dysregulation that overwhelms glutamate and NMDA receptors and results in cellular damage. Therefore, it is possible that sodium is one source of ion dysregulation, although further experimental evidence is required. In a study by Paiva and colleagues, sodium serum disorders were investigated in stable ICU patients with moderate to severe TBI.88 Sodium serum disorders are not well understood in the realm of neurological disorders and even less understood in connection with neurological trauma. The results suggest that sodium disorder incidence is higher among patients with diffuse TBI relative to focal lesions. Thus, sodium regulation may play a central role in cellular dysregulation. Furthermore, sodium concentrations have been shown to become altered and persist years after concussion symptom recovery, increasing the risk of negative outcomes such as decreased memory.89

Altered behavioral changes

In addition to the neurometabolic alterations that occur after a concussion, researchers have investigated altered brain function and behavioral changes following concussion in humans. While most patients recover quickly, recent work suggests that 43% of athletes may experience symptoms for more than 7 days post-injury.90 However, concussion symptoms may arise due to many different factors, and as such, they contain a low specificity for post-concussion problems, making it difficult to discern the mechanism by which they occur. Headache is one of the most common post-concussion symptoms reported, occurring in about 85% of patients.91,92 External factors such as sleep dysregulation, emotional stress and dehydration can increase the severity of headaches in patients with concussion.2,93 Approximately 30–85% of patients complain of sleep disturbances, with most resolving 3 months after injury.9496 Other cognitive alterations can occur post-concussion including complications with verbal and visual memory, processing speed, impulse control, orientation, attention, and executive function.74,9799 With a variety of symptoms and lack of effective and quick diagnosis techniques, multidisciplinary investigation into treatment options is needed to help combat patient discomfort and decrease the amount of time out of work, school, and exercise.100,101 Although these behavioral changes are apparent upon clinical presentation, determining their causes and subsequently identifying appropriate therapeutic targets for interventions among individuals with concussion remains challenging. To prevent long-term problems and initiate appropriate treatments, determining the extent and the factors and mechanisms of the problem must first occur.102

Treatment

Many forms of treatment have been proposed over the past decade. While pharmacological, nutritional, and therapy-based interventions have been tested, the most widely studied form of concussion treatment is sub-threshold aerobic exercise.103 Traditionally, complete physical and cognitive rest has been prescribed until symptom resolution.104 However, researchers demonstrated that this may actually have a negative effect on symptom recovery.105 More recent work has observed that relative to a non-aerobic form of exercise (i.e. stretching), a tailored exercise program below the level of symptom exacerbation can actually help to shorten symptom recovery times among adolescents.106 The physiological mechanisms underlying this positive result have yet to be delineated. It is logical that a long period of rest, particularly among athletes, may lead to deconditioning that results in cerebrovascular control changes, and that these changes contribute to development of additional symptoms independent of the initial injury.107 The addition of regular exercise after injury may therefore require the integration of multiple mechanism that relate to cerebrovascular function. Following a brief rest period after injury, physical and cognitive rest appears to be an ineffective strategy to facilitate healing. Additional work examining the mechanisms by which symptom improvement occurs as a result of exercise following concussion are needed.

Other non-exercise based treatments have been proposed to affect brain healing after a concussion. However, evidence is sparse and mixed to this point. Currently, we are unaware of any human-based studies that have investigated the role of supplement or vitamin-based intervention for concussion recovery.108 Furthermore, there is limited evidence to support the use of pharmacological approaches to concussion treatment.109 Thus, multisite and prospective studies of concussion treatments and their mechanistic effects are required.110

Conclusion

Concussion results in a cascade of complex, overlapping, and disruptive processes to the brain. These disruptions occur due to many different pathophysiological processes, including ionic shifts, neuronal architecture damage, increased neuroinflammation, increased release of excitatory neurotransmitters, and altered cerebral blood flow control. Collectively, a subsequent “energy crisis” ensues, given the mismatch between the need for energy to restore these disruptions in the brain, and a reduced ability to deliver energy to, or produce energy within, the brain. While human-based studies have recently shed light on the restoration of these processes, recovery of each may occur within a distinct timeline and is likely affected by many individual factors. Treatments have focused on the use of aerobic exercise that does not worsen symptoms, and this approach shows promise to alleviate many of the pathophysiologic disruptions present after injury. Currently, adequate time for recovery should occur (i.e. not returning to unrestricted activities) so as to not worsen ongoing disruptions, but early integration into regular physical activity that does not worsen outcomes following a concussion should be considered to facilitate a proper healing environment.

KEY POINTS.

  • Following a concussive event, a complex set of processes occur that disrupt neuronal functioning and result in different signs and symptoms.

  • Pathophysiological processes after concussion include ionic shifts, neuronal architecture damage, increased neuroinflammation, increased release of excitatory neurotransmitters, and altered cerebral blood flow control.

  • The inability to deliver energy to the brain after a concussion, paired with a high demand for energy to restore damaged functions, results in an energy mismatch.

SYNOPSIS.

Following a concussion, a series of complex, overlapping, and disruptive events occur within the brain, leading to the symptoms and behavioral dysfunction commonly associated with the injury. These events include ionic shifts, damaged neuronal architecture, higher concentrations of inflammatory chemicals, increased excitatory neurotransmitter release, and cerebral blood flow disruptions, leading to a neuronal crisis that requires a variable and unknown amount of time for physiological recovery. Therefore, this review summarizes the translational aspects of the pathophysiological cascade of events that occur after concussion, with a particular focus on the role of excitatory neurotransmitters and ionic fluxes, and their role in neuronal disruption. Finally, we review the relationship between physiological disruption and behavioral alterations, as well as proposed treatments aimed to restore the balance of disrupted processes after concussion.

DISCLOSURE STATEMENT

Dr. Howell receives research support not related to this study from the Eunice Kennedy Shriver National Institute of Child Health & Human Development (R03HD094560), the National Institute of Neurological Disorders and Stroke (R01NS100952, R41NS103698, R43NS108823), and MINDSOURCE Colorado Brain Injury Network. The remaining author has nothing to disclose.

References

  • 1.McCrory P, Meeuwisse W, Dvorak J, et al. Consensus statement on concussion in sport—the 5th international conference on concussion in sport held in Berlin, October 2016. Br J Sports Med. 2017;51(11):838–847. doi: 10.1136/bjsports-2017-097699 [DOI] [PubMed] [Google Scholar]
  • 2.Harmon KG, Clugston JR, Dec K, et al. American Medical Society for Sports Medicine position statement on concussion in sport. Br J Sports Med. 2019;53(4):213–225. doi: 10.1136/bjsports-2018-100338 [DOI] [PubMed] [Google Scholar]
  • 3.Lincoln AE, Caswell SV, Almquist JL, Dunn RE, Norris JB, Hinton RY. Trends in concussion incidence in high school sports: a prospective 11-year study. Am J Sports Med. 2011;39(5):958–963. doi: 10.1177/0363546510392326 [DOI] [PubMed] [Google Scholar]
  • 4.Rosenthal JA, Foraker RE, Collins CL, Comstock RD. National high school athlete concussion rates from 2005–2006 to 2011–2012. Am J Sports Med. 2014;42(7):1710–1715. doi: 10.1177/0363546514530091 [DOI] [PubMed] [Google Scholar]
  • 5.Kerr ZY, Chandran A, Nedimyer AK, Arakkal A, Pierpoint LA, Zuckerman SL. Concussion Incidence and Trends in 20 High School Sports. Pediatrics. October 2019:e20192180. doi: 10.1542/peds.2019-2180 [DOI] [PubMed] [Google Scholar]
  • 6.Kamins J, Bigler E, Covassin T, et al. What is the physiological time to recovery after concussion? A systematic review. Br J Sports Med. 2017;51(12):935–940. doi: 10.1136/bjsports-2016-097464 [DOI] [PubMed] [Google Scholar]
  • 7.Anderson MN, Womble MN, Mohler SA, et al. Preliminary Study of Fear of Re-Injury following Sport-Related Concussion in High School Athletes. Dev Neuropsychol. September 2019:1–9. doi: 10.1080/87565641.2019.1667995 [DOI] [PubMed] [Google Scholar]
  • 8.Aubry M, Cantu R, Dvorak J, et al. Summary and agreement statement of the first International Conference on Concussion in Sport, Vienna 2001. British Journal of Sports Medicine. 2002;36(1):6–7. doi: 10.1136/bjsm.36.1.6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Lumba-Brown A, Yeates KO, Sarmiento K, et al. Centers for Disease Control and Prevention Guideline on the Diagnosis and Management of Mild Traumatic Brain Injury Among Children. JAMA Pediatr. September 2018:e182853–e182853. doi: 10.1001/jamapediatrics.2018.2853 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.McCrory P, Johnston K, Meeuwisse W, et al. Summary and agreement statement of the 2nd international conference on concussion in Sport, Prague 2004. Br J Sports Med. 2005;39(4):196–204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Chin EY, Nelson LD, Barr WB, McCrory P, McCrea MA. Reliability and validity of the sport concussion assessment tool-3 (SCAT3) in high school and collegiate athletes. Am J Sports Med. 2016;44(9):2276–2285. doi: 10.1177/0363546516648141 [DOI] [PubMed] [Google Scholar]
  • 12.Chan M, Vielleuse JV, Vokaty S, Wener MA, Pearson I, Gagnon I. Test-retest reliability of the sport concussion assessment tool 2 (SCAT2) for uninjured children and young adults. Br J Sports Med. 2013;47(5):e1–e1. doi: 10.1136/bjsports-2012-092101.18 [DOI] [Google Scholar]
  • 13.Echemendia RJ, Meeuwisse W, McCrory P, et al. The Sport Concussion Assessment Tool 5th Edition (SCAT5). Br J Sports Med. 2017;51:848–850. doi: 10.1136/bjsports-2017-097506 [DOI] [PubMed] [Google Scholar]
  • 14.Echemendia RJ, Broglio SP, Davis GA, et al. What tests and measures should be added to the SCAT3 and related tests to improve their reliability, sensitivity and/or specificity in sideline concussion diagnosis? A systematic review. Br J Sports Med. 2017;51(11):895–901. doi: 10.1136/bjsports-2016-097466 [DOI] [PubMed] [Google Scholar]
  • 15.Guskiewicz KM, Register-Mihalik J, McCrory P, et al. Evidence-based approach to revising the SCAT2: introducing the SCAT3. Br J Sports Med. 2013;47(5):289–293. doi: 10.1136/bjsports-2013-092225 [DOI] [PubMed] [Google Scholar]
  • 16.Broglio SP, Katz BP, Zhao S, McCrea M, McAllister T, CARE Consortium Investigators. Test-Retest Reliability and Interpretation of Common Concussion Assessment Tools: Findings from the NCAA-DoD CARE Consortium. Sports Med. November 2017. doi: 10.1007/s40279-017-0813-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.McPherson AL, Nagai T, Webster KE, Hewett TE. Musculoskeletal Injury Risk After Sport-Related Concussion: A Systematic Review and Meta-analysis. Am J Sports Med. August 2018:363546518785901. doi: 10.1177/0363546518785901 [DOI] [PubMed] [Google Scholar]
  • 18.Kamins J, Giza CC. Concussion - Mild TBI: Recoverable Injury with Potential for Serious Sequelae. Neurosurg Clin N Am. 2016;27(4):441–452. doi: 10.1016/j.nec.2016.05.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Iverson GL, Gardner AJ, Terry DP, et al. Predictors of clinical recovery from concussion: a systematic review. Br J Sports Med. 2017;51(12):941–948. doi: 10.1136/bjsports-2017-097729 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.McCrory P, Meeuwisse WH, Echemendia RJ, Iverson GL, Dvorák J, Kutcher JS. What is the lowest threshold to make a diagnosis of concussion? Br J Sports Med. 2013;47(5):268–271. doi: 10.1136/bjsports-2013-092247 [DOI] [PubMed] [Google Scholar]
  • 21.McCrory P, Feddermann-Demont N, Dvořák J, et al. What is the definition of sports-related concussion: a systematic review. Br J Sports Med. 2017;51(11):877–887. doi: 10.1136/bjsports-2016-097393 [DOI] [PubMed] [Google Scholar]
  • 22.Barkhoudarian G, Hovda DA, Giza CC. The molecular pathophysiology of concussive brain injury. Clin Sports Med. 2011;30(1):33–48, vii–iii. doi: 10.1016/j.csm.2010.09.001 [DOI] [PubMed] [Google Scholar]
  • 23.Vagnozzi R, Signoretti S, Tavazzi B, et al. Hypothesis of the postconcussive vulnerable brain: experimental evidence of its metabolic occurrence. Neurosurgery. 2005;57(1):164–171; discussion 164–171. doi: 10.1227/01.neu.0000163413.90259.85 [DOI] [PubMed] [Google Scholar]
  • 24.Vagnozzi R, Tavazzi B, Signoretti S, et al. Temporal window of metabolic brain vulnerability to concussions: mitochondrial-related impairment--part I. Neurosurgery. 2007;61(2):379–388; discussion 388–389. doi: 10.1227/01.NEU.0000280002.41696.D8 [DOI] [PubMed] [Google Scholar]
  • 25.Shultz SR, Bao F, Omana V, Chiu C, Brown A, Cain DP. Repeated Mild Lateral Fluid Percussion Brain Injury in the Rat Causes Cumulative Long-Term Behavioral Impairments, Neuroinflammation, and Cortical Loss in an Animal Model of Repeated Concussion. Journal of Neurotrauma. 2011;29(2):281–294. doi: 10.1089/neu.2011.2123 [DOI] [PubMed] [Google Scholar]
  • 26.Lyeth BG. Historical Review of the Fluid-Percussion TBI Model. Front Neurol. 2016;7. doi: 10.3389/fneur.2016.00217 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Katz PS, Molina PE. A Lateral Fluid Percussion Injury Model for Studying Traumatic Brain Injury in Rats. In: Tharakan B, ed. Traumatic and Ischemic Injury: Methods and Protocols. Methods in Molecular Biology. New York, NY: Springer; 2018:27–36. doi: 10.1007/978-1-4939-7526-6_3 [DOI] [PubMed] [Google Scholar]
  • 28.Lifshitz J, Rowe RK, Griffiths DR, et al. Clinical relevance of midline fluid percussion brain injury: Acute deficits, chronic morbidities and the utility of biomarkers. Brain Injury. 2016;30(11):1293–1301. doi: 10.1080/02699052.2016.1193628 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Robinson S, Winer JL, Chan LAS, et al. Extended Erythropoietin Treatment Prevents Chronic Executive Functional and Microstructural Deficits Following Early Severe Traumatic Brain Injury in Rats. Front Neurol. 2018;9:451. doi: 10.3389/fneur.2018.00451 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Osier N, Dixon CE. Controlled Cortical Impact for Modeling Traumatic Brain Injury in Animals. In: Srivastava AK, Cox CS, eds. Pre-Clinical and Clinical Methods in Brain Trauma Research. Neuromethods. New York, NY: Springer; 2018:81–95. doi: 10.1007/978-1-4939-8564-7_5 [DOI] [Google Scholar]
  • 31.Hoogenboom WS, Branch CA, Lipton ML. Animal models of closed-skull, repetitive mild traumatic brain injury. Pharmacology & Therapeutics. 2019;198:109–122. doi: 10.1016/j.pharmthera.2019.02.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Deng-Bryant Y, Leung LY, Madathil S, et al. Chronic Cognitive Deficits and Associated Histopathology Following Closed-Head Concussive Injury in Rats. Front Neurol. 2019;10. doi: 10.3389/fneur.2019.00699 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Fehily B, Bartlett CA, Lydiard S, et al. Differential responses to increasing numbers of mild traumatic brain injury in a rodent closed-head injury model. Journal of Neurochemistry. 2019;149(5):660–678. doi: 10.1111/jnc.14673 [DOI] [PubMed] [Google Scholar]
  • 34.Giza CC, Hovda DA. The Neurometabolic Cascade of Concussion. Journal of Athletic Training. 2001;36(3):228. [PMC free article] [PubMed] [Google Scholar]
  • 35.Giza CC, Hovda DA. The new neurometabolic cascade of concussion. Neurosurgery. 2014;75 Suppl 4:S24–33. doi: 10.1227/NEU.0000000000000505 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Jassam YN, Izzy S, Whalen M, McGavern DB, El Khoury J. Neuroimmunology of Traumatic Brain Injury: Time for a Paradigm Shift. Neuron. 2017;95(6):1246–1265. doi: 10.1016/j.neuron.2017.07.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Yoshino A, Hovda DA, Kawamata T, Katayama Y, Becker DP. Dynamic changes in local cerebral glucose utilization following cerebral conclusion in rats: evidence of a hyper- and subsequent hypometabolic state. Brain Res. 1991;561(1):106–119. doi: 10.1016/0006-8993(91)90755-k [DOI] [PubMed] [Google Scholar]
  • 38.Yuen TJ, Browne KD, Iwata A, Smith DH. Sodium channelopathy induced by mild axonal trauma worsens outcome after a repeat injury. J Neurosci Res. 2009;87(16):3620–3625. doi: 10.1002/jnr.22161 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Tang-Schomer MD, Johnson VE, Baas PW, Stewart W, Smith DH. Partial interruption of axonal transport due to microtubule breakage accounts for the formation of periodic varicosities after traumatic axonal injury. Exp Neurol. 2012;233(1):364–372. doi: 10.1016/j.expneurol.2011.10.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Choe MC, Babikian T, DiFiori J, Hovda DA, Giza CC. A pediatric perspective on concussion pathophysiology. Curr Opin Pediatr. 2012;24(6):689–695. doi: 10.1097/MOP.0b013e32835a1a44 [DOI] [PubMed] [Google Scholar]
  • 41.Shenton M, Hamoda H, Schneiderman J, et al. A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury. Brain Imaging and Behavior. 2012;6(2):137–192. doi: 10.1007/s11682-012-9156-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Koerte IK, Hufschmidt J, Muehlmann M, Lin AP, Shenton ME. Advanced Neuroimaging of Mild Traumatic Brain Injury. In: Laskowitz D, Grant G, eds. Translational Research in Traumatic Brain Injury. Frontiers in Neuroscience. Boca Raton (FL): CRC Press/Taylor and Francis Group; 2016. http://www.ncbi.nlm.nih.gov/books/NBK326714/. Accessed January 22, 2016. [PubMed] [Google Scholar]
  • 43.Jurick SM, Bangen KJ, Evangelista ND, Sanderson-Cimino M, Delano-Wood L, Jak AJ. Advanced neuroimaging to quantify myelin in vivo: Application to mild TBI. Brain Inj. 2016;30(12):1452–1457. doi: 10.1080/02699052.2016.1219064 [DOI] [PubMed] [Google Scholar]
  • 44.Li HH, Lee SM, Cai Y, Sutton RL, Hovda DA. Differential gene expression in hippocampus following experimental brain trauma reveals distinct features of moderate and severe injuries. J Neurotrauma. 2004;21(9):1141–1153. doi: 10.1089/neu.2004.21.1141 [DOI] [PubMed] [Google Scholar]
  • 45.Shultz SR, MacFabe DF, Foley KA, Taylor R, Cain DP. Sub-concussive brain injury in the Long-Evans rat induces acute neuroinflammation in the absence of behavioral impairments. Behav Brain Res. 2012;229(1):145–152. doi: 10.1016/j.bbr.2011.12.015 [DOI] [PubMed] [Google Scholar]
  • 46.Chang L, Munsaka SM, Kraft-Terry S, Ernst T. Magnetic resonance spectroscopy to assess neuroinflammation and neuropathic pain. J Neuroimmune Pharmacol. 2013;8(3):576–593. doi: 10.1007/s11481-013-9460-x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Albrecht DS, Granziera C, Hooker JM, Loggia ML. In Vivo Imaging of Human Neuroinflammation. ACS Chem Neurosci. 2016;7(4):470–483. doi: 10.1021/acschemneuro.6b00056 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Henry LC, Tremblay S, Boulanger Y, Ellemberg D, Lassonde M. Neurometabolic Changes in the Acute Phase after Sports Concussions Correlate with Symptom Severity. Journal of Neurotrauma. 2010;27(1):65–76. doi: 10.1089/neu.2009.0962 [DOI] [PubMed] [Google Scholar]
  • 49.Lin AP, Liao HJ, Merugumala SK, Prabhu SP, Meehan WP, Ross BD. Metabolic imaging of mild traumatic brain injury. Brain Imaging Behav. 2012;6(2):208–223. doi: 10.1007/s11682-012-9181-4 [DOI] [PubMed] [Google Scholar]
  • 50.Alosco ML, Jarnagin J, Rowland B, Liao H, Stern RA, Lin A. Magnetic Resonance Spectroscopy as a Biomarker for Chronic Traumatic Encephalopathy. Semin Neurol. 2017;37(5):503–509. doi: 10.1055/s-0037-1608764 [DOI] [PubMed] [Google Scholar]
  • 51.Lin AP, Ramadan S, Stern RA, et al. Changes in the neurochemistry of athletes with repetitive brain trauma: preliminary results using localized correlated spectroscopy. Alzheimers Res Ther. 2015;7(1):13. doi: 10.1186/s13195-015-0094-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Ross BD, Ernst T, Kreis R, et al. 1H MRS in acute traumatic brain injury. J Magn Reson Imaging. 1998;8(4):829–840. [DOI] [PubMed] [Google Scholar]
  • 53.Vagnozzi R, Signoretti S, Cristofori L, et al. Assessment of metabolic brain damage and recovery following mild traumatic brain injury: a multicentre, proton magnetic resonance spectroscopic study in concussed patients. Brain. 2010;133(11):3232–3242. doi: 10.1093/brain/awq200 [DOI] [PubMed] [Google Scholar]
  • 54.Vagnozzi R, Signoretti S, Tavazzi B, et al. Temporal window of metabolic brain vulnerability to concussion: a pilot 1H-magnetic resonance spectroscopic study in concussed athletes--part III. Neurosurgery. 2008;62(6):1286–1295; discussion 1295–1296. doi: 10.1227/01.neu.0000333300.34189.74 [DOI] [PubMed] [Google Scholar]
  • 55.Poole VN, Abbas K, Shenk TE, et al. MR spectroscopic evidence of brain injury in the non-diagnosed collision sport athlete. Dev Neuropsychol. 2014;39(6):459–473. doi: 10.1080/87565641.2014.940619 [DOI] [PubMed] [Google Scholar]
  • 56.Panchal H, Sollmann N, Pasternak O, et al. Neuro-Metabolite Changes in a Single Season of University Ice Hockey Using Magnetic Resonance Spectroscopy. Front Neurol. 2018;9:616. doi: 10.3389/fneur.2018.00616 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Chamard E, Théoret H, Skopelja EN, Forwell LA, Johnson AM, Echlin PS. A prospective study of physician-observed concussion during a varsity university hockey season: metabolic changes in ice hockey players. Part 4 of 4. Neurosurg Focus. 2012;33(6):E4: 1–7. doi: 10.3171/2012.10.FOCUS12305 [DOI] [PubMed] [Google Scholar]
  • 58.Gardner AJ, Iverson GL, Wojtowicz M, et al. MR Spectroscopy Findings in Retired Professional Rugby League Players. Int J Sports Med. 2017;38(3):241–252. doi: 10.1055/s-0042-120843 [DOI] [PubMed] [Google Scholar]
  • 59.Koerte IK, Lin AP, Muehlmann M, et al. Altered Neurochemistry in Former Professional Soccer Players without a History of Concussion. J Neurotrauma. 2015;32(17):1287–1293. doi: 10.1089/neu.2014.3715 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Koerte IK, Lin AP, Willems A, et al. A review of neuroimaging findings in repetitive brain trauma. Brain Pathol. 2015;25(3):318–349. doi: 10.1111/bpa.12249 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Braun M, Vaibhav K, Saad NM, et al. WHITE MATTER DAMAGE AFTER TRAUMATIC BRAIN INJURY: A ROLE FOR DAMAGE ASSOCIATED MOLECULAR PATTERNS. Biochim Biophys Acta. 2017;1863(10 Pt B):2614–2626. doi: 10.1016/j.bbadis.2017.05.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Foell D, Wittkowski H, Roth J. Mechanisms of disease: a “DAMP” view of inflammatory arthritis. Nat Clin Pract Rheumatol. 2007;3(7):382–390. doi: 10.1038/ncprheum0531 [DOI] [PubMed] [Google Scholar]
  • 63.Russo MV, McGavern DB. Immune Surveillance of the CNS following Infection and Injury. Trends Immunol. 2015;36(10):637–650. doi: 10.1016/j.it.2015.08.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Vénéreau E, Ceriotti C, Bianchi ME. DAMPs from Cell Death to New Life. Front Immunol. 2015;6. doi: 10.3389/fimmu.2015.00422 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Yang S, Xu L, Yang T, Wang F. High-mobility group box-1 and its role in angiogenesis. J Leukoc Biol. 2014;95(4):563–574. doi: 10.1189/jlb.0713412 [DOI] [PubMed] [Google Scholar]
  • 66.van Beijnum JR, Nowak-Sliwinska P, van den Boezem E, Hautvast P, Buurman WA, Griffioen AW. Tumor angiogenesis is enforced by autocrine regulation of high-mobility group box 1. Oncogene. 2013;32(3):363–374. doi: 10.1038/onc.2012.49 [DOI] [PubMed] [Google Scholar]
  • 67.Mitola S, Belleri M, Urbinati C, et al. Cutting edge: extracellular high mobility group box-1 protein is a proangiogenic cytokine. J Immunol. 2006;176(1):12–15. doi: 10.4049/jimmunol.176.1.12 [DOI] [PubMed] [Google Scholar]
  • 68.Davalos D, Grutzendler J, Yang G, et al. ATP mediates rapid microglial response to local brain injury in vivo. Nat Neurosci. 2005;8(6):752–758. doi: 10.1038/nn1472 [DOI] [PubMed] [Google Scholar]
  • 69.Fourgeaud L, Través PG, Tufail Y, et al. TAM receptors regulate multiple features of microglial physiology. Nature. 2016;532(7598):240–244. doi: 10.1038/nature17630 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Madathil SK, Wilfred BS, Urankar SE, et al. Early Microglial Activation Following Closed-Head Concussive Injury Is Dominated by Pro-Inflammatory M-1 Type. Front Neurol. 2018;9:964. doi: 10.3389/fneur.2018.00964 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Cristofori L, Tavazzi B, Gambin R, et al. Biochemical analysis of the cerebrospinal fluid: evidence for catastrophic energy failure and oxidative damage preceding brain death in severe head injury: a case report. Clin Biochem. 2005;38(1):97–100. doi: 10.1016/j.clinbiochem.2004.09.013 [DOI] [PubMed] [Google Scholar]
  • 72.Mouzon BC, Bachmeier C, Ferro A, et al. Chronic neuropathological and neurobehavioral changes in a repetitive mild traumatic brain injury model. Ann Neurol. 2014;75(2):241–254. doi: 10.1002/ana.24064 [DOI] [PubMed] [Google Scholar]
  • 73.Cheng JS, Craft R, Yu G-Q, et al. Tau reduction diminishes spatial learning and memory deficits after mild repetitive traumatic brain injury in mice. PLoS ONE. 2014;9(12):e115765. doi: 10.1371/journal.pone.0115765 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Broussard JI, Acion L, De Jesús-Cortés H, et al. Repeated mild traumatic brain injury produces neuroinflammation, anxiety-like behaviour and impaired spatial memory in mice. Brain Inj. 2018;32(1):113–122. doi: 10.1080/02699052.2017.1380228 [DOI] [PubMed] [Google Scholar]
  • 75.Mychasiuk R, Hehar H, Candy S, Ma I, Esser MJ. The direction of the acceleration and rotational forces associated with mild traumatic brain injury in rodents effect behavioural and molecular outcomes. J Neurosci Methods. 2016;257:168–178. doi: 10.1016/j.jneumeth.2015.10.002 [DOI] [PubMed] [Google Scholar]
  • 76.Petraglia AL, Plog BA, Dayawansa S, et al. The spectrum of neurobehavioral sequelae after repetitive mild traumatic brain injury: a novel mouse model of chronic traumatic encephalopathy. J Neurotrauma. 2014;31(13):1211–1224. doi: 10.1089/neu.2013.3255 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Kierans AS, Kirov II, Gonen O, et al. Myoinositol and glutamate complex neurometabolite abnormality after mild traumatic brain injury. Neurology. 2014;82(6):521–528. doi: 10.1212/WNL.0000000000000105 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Shutter L, Tong KA, Holshouser BA. Proton MRS in acute traumatic brain injury: role for glutamate/glutamine and choline for outcome prediction. J Neurotrauma. 2004;21(12):1693–1705. doi: 10.1089/neu.2004.21.1693 [DOI] [PubMed] [Google Scholar]
  • 79.Ashwal S, Holshouser B, Tong K, et al. Proton MR spectroscopy detected glutamate/glutamine is increased in children with traumatic brain injury. J Neurotrauma. 2004;21(11):1539–1552. doi: 10.1089/neu.2004.21.1539 [DOI] [PubMed] [Google Scholar]
  • 80.Purves D, Augustine GJ, Fitzpatrick D, et al. Glutamate Receptors. Neuroscience 2nd edition. 2001. https://www.ncbi.nlm.nih.gov/books/NBK10802/. Accessed January 14, 2020. [Google Scholar]
  • 81.Guerriero RM, Giza CC, Rotenberg A. Glutamate and GABA imbalance following traumatic brain injury. Curr Neurol Neurosci Rep. 2015;15(5):27. doi: 10.1007/s11910-015-0545-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Rao VL, Başkaya MK, Doğan A, Rothstein JD, Dempsey RJ. Traumatic brain injury down-regulates glial glutamate transporter (GLT-1 and GLAST) proteins in rat brain. J Neurochem. 1998;70(5):2020–2027. doi: 10.1046/j.1471-4159.1998.70052020.x [DOI] [PubMed] [Google Scholar]
  • 83.Fineman I, Hovda DA, Smith M, Yoshino A, Becker DP. Concussive brain injury is associated with a prolonged accumulation of calcium: a 45Ca autoradiographic study. Brain Res. 1993;624(1–2):94–102. doi: 10.1016/0006-8993(93)90064-t [DOI] [PubMed] [Google Scholar]
  • 84.Nilsson P, Hillered L, Olsson Y, Sheardown MJ, Hansen AJ. Regional changes in interstitial K+ and Ca2+ levels following cortical compression contusion trauma in rats. J Cereb Blood Flow Metab. 1993;13(2):183–192. doi: 10.1038/jcbfm.1993.22 [DOI] [PubMed] [Google Scholar]
  • 85.Büki A, Povlishock JT. All roads lead to disconnection?--Traumatic axonal injury revisited. Acta Neurochir (Wien). 2006;148(2):181–193; discussion 193–194. doi: 10.1007/s00701-005-0674-4 [DOI] [PubMed] [Google Scholar]
  • 86.Weber JT, Rzigalinski BA, Willoughby KA, Moore SF, Ellis EF. Alterations in calcium-mediated signal transduction after traumatic injury of cortical neurons. Cell Calcium. 1999;26(6):289–299. doi: 10.1054/ceca.1999.0082 [DOI] [PubMed] [Google Scholar]
  • 87.Zander NE, Piehler T, Banton R, Benjamin R. Effects of repetitive low-pressure explosive blast on primary neurons and mixed cultures. J Neurosci Res. 2016;94(9):827–836. doi: 10.1002/jnr.23786 [DOI] [PubMed] [Google Scholar]
  • 88.Paiva WS, Bezerra DAF, Amorim RLO, et al. Serum sodium disorders in patients with traumatic brain injury. Ther Clin Risk Manag. 2011;7:345–349. doi: 10.2147/TCRM.S17692 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Grover H, Qian Y, Boada FE, Lakshmanan K, Flanagan S, Lui YW. MRI Evidence of Altered Callosal Sodium in Mild Traumatic Brain Injury. AJNR Am J Neuroradiol. 2018;39(12):2200–2204. doi: 10.3174/ajnr.A5903 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.McCrea M, Broglio S, McAllister T, et al. Return to play and risk of repeat concussion in collegiate football players: comparative analysis from the NCAA Concussion Study (1999–2001) and CARE Consortium (2014–2017). Br J Sports Med. April 2019. doi: 10.1136/bjsports-2019-100579 [DOI] [PubMed] [Google Scholar]
  • 91.Gladstone J From psychoneurosis to ICHD-2: an overview of the state of the art in post-traumatic headache. Headache. 2009;49(7):1097–1111. doi: 10.1111/j.1526-4610.2009.01461.x [DOI] [PubMed] [Google Scholar]
  • 92.Bramley H, Heverley S, Lewis MM, Kong L, Rivera R, Silvis M. Demographics and treatment of adolescent posttraumatic headache in a regional concussion clinic. Pediatr Neurol. 2015;52(5):493–498. doi: 10.1016/j.pediatrneurol.2015.01.008 [DOI] [PubMed] [Google Scholar]
  • 93.Wicklund AH, Gaviria M. Multidisciplinary approach to psychiatric symptoms in mild traumatic brain injury: Complex sequelae necessitate a cadre of treatment providers. Surg Neurol Int. 2013;4. doi: 10.4103/2152-7806.110150 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Wickwire EM, Schnyer DM, Germain A, et al. Sleep, Sleep Disorders, and Circadian Health following Mild Traumatic Brain Injury in Adults: Review and Research Agenda. J Neurotrauma. 2018;35(22):2615–2631. doi: 10.1089/neu.2017.5243 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Bramley H, Henson A, Lewis MM, Kong L, Stetter C, Silvis M. Sleep Disturbance Following Concussion Is a Risk Factor for a Prolonged Recovery. Clin Pediatr (Phila). 2017;56(14):1280–1285. doi: 10.1177/0009922816681603 [DOI] [PubMed] [Google Scholar]
  • 96.Howell DR, Oldham JR, Brilliant AN, William P. Meehan III. Trouble Falling Asleep After Concussion Is Associated With Higher Symptom Burden Among Children and Adolescents: Journal of Child Neurology. 2019;34(5):256–261. doi: 10.1177/0883073818824000 [DOI] [PubMed] [Google Scholar]
  • 97.Mayers LB, Redick TS, Chiffriller SH, Simone AN, Terraforte KR. Working memory capacity among collegiate student athletes: Effects of sport-related head contacts, concussions, and working memory demands. Journal of Clinical and Experimental Neuropsychology. 2011;33(5):532–537. doi: 10.1080/13803395.2010.535506 [DOI] [PubMed] [Google Scholar]
  • 98.Broglio SP, Puetz TW. The effect of sport concussion on neurocognitive function, self-report symptoms and postural control: a meta-analysis. Sports Med. 2008;38(1):53–67. [DOI] [PubMed] [Google Scholar]
  • 99.Howell DR, Osternig L, van Donkelaar P, Mayr U, Chou L-S. Effects of concussion on attention and executive function in adolescents. Med Sci Sports Exerc. 2013;45(6):1030–1037. doi: 10.1249/MSS.0b013e3182814595 [DOI] [PubMed] [Google Scholar]
  • 100.Knollman Porter K, Constantinidou F, Hutchinson Marron K. Speech-language pathology and concussion management in intercollegiate athletics: the Miami University Concussion Management Program. Am J Speech Lang Pathol. 2014;23(4):507–519. doi: 10.1044/2014_AJSLP-13-0126 [DOI] [PubMed] [Google Scholar]
  • 101.Zuckerman SL, Yengo-Kahn AM, Buckley TA, Solomon GS, Sills AK, Kerr ZY. Predictors of postconcussion syndrome in collegiate student-athletes. Neurosurg Focus. 2016;40(4):E13. doi: 10.3171/2016.1.FOCUS15593 [DOI] [PubMed] [Google Scholar]
  • 102.van Mechelen W, Hlobil H, Kemper HC. Incidence, severity, aetiology and prevention of sports injuries. A review of concepts. Sports Med. 1992;14(2):82–99. [DOI] [PubMed] [Google Scholar]
  • 103.Leddy J, Hinds A, Sirica D, Willer B. The Role of Controlled Exercise in Concussion Management. PM R. 2016;8(3 Suppl):S91–S100. doi: 10.1016/j.pmrj.2015.10.017 [DOI] [PubMed] [Google Scholar]
  • 104.McCrory P, Meeuwisse WH, Aubry M, et al. Consensus statement on concussion in sport: the 4th International Conference on Concussion in Sport held in Zurich, November 2012. Br J Sports Med. 2013;47(5):250–258. doi: 10.1136/bjsports-2013-092313 [DOI] [PubMed] [Google Scholar]
  • 105.Thomas DG, Apps JN, Hoffmann RG, McCrea M, Hammeke T. Benefits of strict rest after acute concussion: a randomized controlled trial. Pediatrics. 2015;135(2):213–223. doi: 10.1542/peds.2014-0966 [DOI] [PubMed] [Google Scholar]
  • 106.Leddy JJ, Haider MN, Ellis MJ, et al. Early Subthreshold Aerobic Exercise for Sport-Related Concussion: A Randomized Clinical Trial. JAMA Pediatr. 2019;173(4):319–325. doi: 10.1001/jamapediatrics.2018.4397 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Tan CO, Meehan WP, Iverson GL, Taylor JA. Cerebrovascular regulation, exercise, and mild traumatic brain injury. Neurology. 2014;83(18):1665–1672. doi: 10.1212/WNL.0000000000000944 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Ashbaugh A, McGrew C. The Role of Nutritional Supplements in Sports Concussion Treatment. Curr Sports Med Rep. 2016;15(1):16–19. doi: 10.1249/JSR.0000000000000219 [DOI] [PubMed] [Google Scholar]
  • 109.Schneider KJ, Leddy JJ, Guskiewicz KM, et al. Rest and treatment/rehabilitation following sport-related concussion: a systematic review. Br J Sports Med. 2017;51(12):930–994. doi: 10.1136/bjsports-2016-097475 [DOI] [PubMed] [Google Scholar]
  • 110.Collins MW, Kontos AP, Okonkwo DO, et al. Statements of Agreement From the Targeted Evaluation and Active Management (TEAM) Approaches to Treating Concussion Meeting Held in Pittsburgh, October 15–16, 2015. Neurosurgery. 2016;79(6):912–929. doi: 10.1227/NEU.0000000000001447 [DOI] [PMC free article] [PubMed] [Google Scholar]

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