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Original Article| Volume 48, ISSUE 1, P24-29, January 2013

Diffusion Tensor Imaging of Sports-Related Concussion in Adolescents

      Abstract

      Concussion is among the least understood neurologic injuries. The impact of concussion on the adolescent brain remains largely unknown. This study sought to establish short-term changes in white-matter integrity after sports-related concussion in adolescents, and examine the association between changes in white-matter integrity and a clinical measure of concussion. Twelve adolescents, aged 14-17 years with a sports-related concussion within 2 months, and 10 age-matched adolescents with no history of concussion were evaluated with the Sports Concussion Assessment Tool 2 and diffusion tensor imaging. Two measures compared the two groups: fractional anisotropy and mean diffusivity. Whole-brain fractional anisotropy values significantly increased (F(1,40) = 6.29, P = 0.010), and mean diffusivity values decreased (F(1,40) = 4.75, P = 0.036), in concussed athletes compared with control participants. Total scores on the Sports Concussion Assessment Tool 2 were associated with whole-brain fractional anisotropy. Mean diffusivity values with lower scores were associated with higher fractional anisotropy (R2 = 0.25, P = 0.017) and lower mean diffusivity (R2 = 0.20, P = 0.038). We provide evidence of structural changes in the integrity of white matter in adolescent athletes after sports-related concussion.

      Introduction

      An estimated 173,285 sports-related and recreation-related traumatic brain injuries in children and adolescents are treated in emergency rooms in the United States annually [
      • Gilchrist J.
      • Thomas K.E.
      • Xu L.
      • McGuire L.C.
      • Coronado V.G.
      Nonfatal sports and recreation related traumatic brain injuries among children and adolescents treated in emergency departments in the United States, 2001-2009.
      ]. These data likely underestimate the actual number of injuries, because many are not reported or are treated outside the emergency room, making traumatic brain injuries a significant public health issue. In Canada, an estimated 98,440 people (2.4% of the population aged at least 12 years) sustained a head injury between 2009 and 2010. Of those, 23% (n = 22,720) were adolescents [

      Billette JM, Janz T. Injuries in Canada: Insights from the Canadian Community Health Survey 2011. Statistics Canada, Catalogue no. 82-624-X.

      ].
      The risk of concussion in youth is of particular concern because the brain is still developing throughout adolescence and may be more susceptible to hypoxia, ischemia, and traumatic axonal injury [
      • Kochanek P.
      Pediatric traumatic brain injury: Quo vadis?.
      ,
      • Adelson P.D.
      • Kochanek P.M.
      Head injury in children.
      ]. Although physical features resolve within 2-10 days in the majority of adults who sustain a single concussion [
      • Dikmen S.
      • McLean A.
      • Temkin N.
      Neuropsychological and psychosocial consequences of minor head injury.
      ,
      • Hinton-Bayre A.
      • Geffen G.
      Severity of sports-related concussion and neuropsychological test performance.
      ,
      • McCrory P.
      • Meeuwisse W.
      • Johnston K.
      • et al.
      Consensus statement on concussion in sport: The Third International Conference on Concussion in Sport held in Zurich, November 2008.
      ], school-aged children demonstrate postconcussive features for a longer period. Barlow et al. [
      • Barlow K.
      • Crawford S.
      • Stevenson A.
      • Sandhu S.
      • Belanger F.
      • Dewey D.
      Epidemiology of postconcussion syndrome in pediatric mild traumatic brain injury.
      ] reported that 3 months after injury, 14% of children aged more than 6 years remained symptomatic. The frontal and temporal lobes appear most vulnerable to injury, and damage to these areas is associated with impairments of executive function, learning, and memory, along with behavioral disturbances [
      • Di Stefano G.
      • Bachevalier J.
      • Levin H.
      • Song J.
      • Scheibel R.
      • Fletcher J.
      Volume of focal brain lesions and hippocampal formation in relation to memory function after closed head injury in children.
      ,
      • Anderson C.
      • Bigler E.
      • Blatter D.
      Frontal lobe lesions, diffuse damage, and neuropsychological functioning in traumatic brain-injured patients.
      ,
      • Max J.
      • Lindgren S.
      • Robin D.
      • et al.
      Traumatic brain injury in children and adolescents: Psychiatric disorders in the second three months.
      ]. Impairments in executive functioning during the adolescent phase of development may involve long-term implications for quality of life and future developmental processes. However, associations between behavioral sequelae and underlying structural brain changes after concussion have been difficult to establish.
      Growing interest has developed in the use of newer imaging technologies, such as diffusion tensor imaging, which is particularly sensitive to changes in the microstructure of frontal white matter [
      • Zappalà G.
      • Thiebaut de Schotten M.
      • Eslinger P.J.
      Traumatic brain injury and the frontal lobes: What can we gain with diffusion tensor imaging?.
      ] and provides quantitative measures of the structural integrity of white matter in the brain. Importantly, diffusion tensor imaging detects subtle reductions in white matter integrity that correlate with function [
      • Basser P.J.
      • Jones D.K.
      Diffusion-tensor MRI: Theory, experimental design and data analysis—A technical review.
      ]. This study sought to investigate structural changes in the brains of adolescents who had sustained a sports-related concussion within a 2-month period, using diffusion tensor imaging, compared with age-matched control subjects with no history of concussion. In addition, the association between specific diffusion tensor imaging measures and a clinical assessment tool (Sports Concussion Assessment Tool 2) was examined.

      Methods

      Participants

      Ten healthy, physically active adolescents with no previous history of concussion and 12 adolescents who had experienced a sports-related concussion within the past 2 months (in ice hockey, rugby, or baseball) were recruited (see Table 1 for participants’ demographics). Adolescents with other focal neurologic deficits and pathology and those receiving prescription medications for neurologic or psychiatric conditions were excluded. Recruitment for control adolescents and ice hockey players was administered through British Columbia Hockey. Parents signed an informed consent form that was approved by the Clinical Research Ethics Board of the University of British Columbia. All participants also provided assent.
      Table 1Subject demographics
      Subject Identification CodeSexAgeTotal score on SCAT2Number of ConcussionsTime After ConcussionWhole-Brain Fractional AnisotropyAverage Mean Diffusivity
      Concussed subjects
       P01M14951180.471452830.00082837
       P02M15923300.464628110.00082736
       PC04M16892310.476099690.00079015
       501F17723500.474340170.00082284
       P07M14784560.486240200.00078778
       411M16743290.485866730.00082888
       610M16891520.497283690.00079348
       617M15822610.479171550.00081772
       316F17793170.482555780.00080160
       1008M15861300.496001130.00079730
       614M17762240.509846290.00076875
       11M14901300.474079250.00081738
      Control subjects
       PC03M15970.453218510.00085894
       P04M17950.468110290.00081224
       09F16850.469303540.00082664
       P08M14960.457311830.00086334
       1007M15730.482442390.00078621
       10M16930.486541290.00080174
       406M17920.481596310.00082535
       109M16880.447650210.00089391
       110M15810.487249830.00078329
       1013M16870.475929000.00081968
      Abbreviations:
      F = Female
      M = Male
      SCAT2 = Sports Concussion Assessment Tool 2

      Sports Concussion Assessment Tool 2

      Trained examiners tested all participants via the Sports Concussion Assessment Tool 2 [
      • McCrory P.
      • Meeuwisse W.
      • Johnston K.
      • et al.
      Consensus statement on concussion in sport: The Third International Conference on Concussion in Sport held in Zurich, November 2008.
      ]. The Sports Concussion Assessment Tool 2 is used for sideline and clinical assessment of concussion by determining a combination of scores from a 22 postconcussion symptom scale (number of symptoms and severity of symptoms), physical signs regarding loss of consciousness or balance problems, the Maddock score (assessment of orientation), the Standardized Assessment of Concussion (orientation, immediate memory, concentration, and delayed recall), a modified Balance Error Scoring System, and a coordination examination (finger-to-nose). The maximum score for the Sports Concussion Assessment Tool 2 is 100.

      Magnetic resonance imaging scanning protocol

      Whole-brain, high-angular resolution diffusion imaging was performed at the University of British Columbia 3T Research Facility on a Philips Achieva 3.0 T magnetic resonance imaging scanner (Phillips Healthcare, Andover, MD), using an eight-channel sensitivity encoding head coil and parallel imaging. Participants first underwent a high-resolution anatomic scan (TR/TE = 12.4/5.4 ms, flip angle θ = 8°, FOV = 256 mm, 170 slices, 1-mm thickness). Two diffusion-weighted scans were performed with a single-shot echoplanar imaging sequence (TR/TE = 7465/75 ms, FOV = 212 × 212 mm, 60 slices, voxel dimension = 2.2 mm3, scan time = 7 minutes/scan). Diffusion weighting was performed across 60 different noncollinear orientations (b = 700 seconds/mm2), with 10 minimally weighted diffusion images acquired (b = 0). The scanning time totaled 45 minutes for each participant.
      The software package ExploreDTI [
      • Jiang H.
      • van Zijl P.C.M.
      • Kim J.
      • Pearlson G.D.
      • Mori S.
      DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking.
      ] was used for diffusion imaging data preprocessing and analysis. Initially, the data were corrected for subject motion and eddy current-induced geometric distortions, using a weighted linear tensor estimation approach, and were rigidly transformed to standard Montreal Neurologic Institute space. Whole-brain tractography was then performed, using a deterministic streamline approach. The fractional anisotropy thresholds for initiating and continuing tracking were set to 0.2, and the tract-turning angle threshold was set to 30 degrees. Fiber tract pathways of interest for each hemisphere were then extracted individually, using standard atlas labels [
      • Mori S.
      • Wakana S.
      • van Zijl P.C.M.
      • Nagae-Poetscher L.M.
      MRI atlas of human white matter.
      ,
      • Talairach J.
      • Tournoux P.
      Co-planar stereotaxic atlas of the human brain.
      ,
      • Mazziotta J.
      • Toga A.
      • Evans A.
      • et al.
      A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM).
      ]. Whole-brain hemispheric tract reconstruction was chosen a priori, based on the theorized diffuse nature of the effects of concussion on the brain. Fractional anisotropy involves a scalar value commonly used to quantify the directionality and magnitude of water diffusion, and can range from zero to one. Multiple structural features of white matter influence fractional anisotropy, including axonal membrane status, myelin sheath thickness, number of intracellular neurofilaments and microtubules, and axonal packing density [
      • Alexander A.L.
      • Lee J.E.
      • Lazar M.
      • Field A.S.
      Diffusion tensor imaging of the brain.
      ]. Mean diffusivity constitutes an index of the rate of diffusion averaged over all directions. Mean fractional anisotropy and mean diffusivity comprised the primary diffusion tensor imaging-derived measures used to quantify white-matter microstructure status.

      Data analysis

      All data analyses were blinded with respect to participants’ characteristics. Differences between groups in Sports Concussion Assessment Tool 2 scores were examined using an independent-samples t test (two-tailed significance, P < 0.05). Two-way group (concussion vs control) by hemisphere (right vs left) multivariate analyses of variance were performed to assess differences in whole-brain fractional anisotropy and mean diffusivity (critical α-level, P = 0.05). Linear regression analyses were performed to assess associations between measures of whole-brain white matter integrity (fractional anisotropy and mean diffusivity) and Sports Concussion Assessment Tool 2 scores. We assessed the data for outliers (>3 standard deviations from the mean), normality, linearity, and homoscedasticity, to meet the assumptions for linear regression analysis. No outliers were identified according to these standard criteria.

      Results

      Sports Concussion Assessment Tool 2 testing

      Table 1 lists the demographics and scores on the Sports Concussion Assessment Tool 2 for each group. Although a trend toward a difference between groups was observed, that difference did not achieve statistical significance (t(20) = 1.60, P = 0.126).

      Diffusion tensor imaging-derived measures of white matter tract integrity

      White matter integrity was significantly different between groups (Wilks λ = 0.847, F(2,39) = 3.53, P = 0.039). Significantly increased whole-brain fractional anisotropy values (difference, 0.011; 95% confidence interval, 0.020-0.004; F(1,40) = 6.29; P = 0.010) and decreased mean diffusivity values (difference, 1.81 × 10−5; 95% confidence interval, 3.43 × 10−7 to 3.59 × 10−7, F(1,40) = 4.75; P = 0.036) were observed in the concussion group compared with the control group (Fig 1). Differences in whole-brain fractional anisotropy for a representative participant from each group are depicted in Fig 2. A main effect of hemisphere was demonstrated (Wilks λ = 0.787, F(2,39) = 5.29, P = 0.009), but a significant group by hemisphere interaction effect was not observed (P = 0.721).
      Figure thumbnail gr1
      Figure 1Group averaged differences between concussed and control athletes in terms of whole-brain fractional anisotropy (WBFA) and mean diffusivity (MD). Asterisks indicate significant differences.
      Figure thumbnail gr2
      Figure 2Whole-brain diffusion tensor imaging tractography for one healthy adolescent (left) and one adolescent after concussion (right). Warmer colors indicate higher fractional anisotropy, whereas cooler colors indicate lower fractional anisotropy values. Diffuse increases in white matter tract fractional anisotropy are present after injury compared with an uninjured brain, likely reflecting subtle tissue damage associated with concussion.

      Association between Sports Concussion Assessment Tool 2 and white matter integrity

      Sports Concussion Assessment Tool 2 was a significant predictor of variance in whole-brain fractional anisotropy (R2 = 0.25, β = −0.50, P = 0.017) and mean diffusivity (R2 = 0.20, β = 0.45, P = 0.038) where lower Sports Concussion Assessment Tool 2 scores were associated with higher fractional anisotropy and lower mean diffusivity values, respectively, across participants (Figs 3 and 4). For every unit increase in the total Sports Concussion Assessment Tool 2 score, whole-brain fractional anisotropy decreased by 0.00093 units (95% confidence interval, −0.00167 to −0.000185. For every unit increase in the total Sports Concussion Assessment Tool 2 score, mean diffusivity increased by 0.0000017 units (95% confidence interval, 0.0000001-0.0000032).
      Figure thumbnail gr3
      Figure 3Whole-brain fractional anisotropy vs Sports Concussion Assessment Tool 2. Blue squares represent values for concussed athletes. Red squares represent values for control athletes.
      Figure thumbnail gr4
      Figure 4Average mean diffusivity vs Sports Concussion Assessment Tool 2. Blue triangles indicate values for concussed athletes. Red triangles indicate values for control athletes.

      Discussion

      We observed significantly higher whole-brain fractional anisotropy values and lower whole-brain mean diffusivity values in concussed adolescents, compared with healthy, active, nonconcussed adolescents. Importantly, the Sports Concussion Assessment Tool 2 was a significant predictor of whole-brain fractional anisotropy values. To our knowledge, these preliminary data reveal for the first time that sports-related concussion in adolescents is associated with widespread changes in white matter microstructure integrity up to 2 months after injury, and that specific diffusion tensor imaging measures are associated with scores on the Sports Concussion Assessment Tool 2.
      The Sports Concussion Assessment Tool 2 score for the control group in our study averaged 89 out of a possible 100. The same average score was reported by Jinguji et al. [
      • Jinguji T.M.
      • Bompadre V.
      • Harmon K.G.
      • et al.
      Sport Concussion Assessment Tool-2: Baseline values for high school athletes.
      ] in a group of high school athletes aged 13-19 years and with no previous concussions. The score in our group of concussed athletes averaged 84. Although the difference between the control and concussed group scores was not statistically significant, the lower scores may indicate changes in features and function after a concussion.
      Concussion induces very subtle changes in the brain that have been difficult to study. The heterogeneity of the location and severity of injury, the stage of recovery, and variability in experimental procedures and analyses have led to apparent discrepancies in reported diffusion abnormalities in the concussion literature. For example, Maugans et al. [
      • Maugans T.A.
      • Farley C.
      • Altaye M.
      • Leach J.
      • Cecil K.M.
      Pediatric sports-related concussion produces cerebral blood flow alterations.
      ] reported no significant differences in any diffusion tensor imaging-related measures, using a region of interest approach. Other studies reported evidence of damage to the white matter tracts, and have been associated with both increases [
      • Cubon V.A.
      • Putukian M.
      • Boyer C.
      • Dettwiler A.
      A diffusion tensor imaging study on the white matter skeleton in individuals with sports-related concussion.
      ] and decreases [
      • Henry L.C.
      • Tremblay J.
      • Tremblay S.
      • et al.
      Acute and chronic changes in diffusivity measures after sports concussion.
      ,
      • Wozniak J.R.
      • Krach L.
      • Ward E.
      • et al.
      Neurocognitive and neuroimaging correlates of pediatric traumatic brain injury: A diffusion tensor imaging (DTI) study.
      ] in fractional anisotropy values. Our results are in agreement with recent work demonstrating higher fractional anisotropy values after concussions in adolescents with mild traumatic brain injury [
      • Wilde E.A.
      • McCauley S.R.
      • Hunter J.V.
      • et al.
      Diffusion tensor imaging of acute mild traumatic brain injury in adolescents.
      ,
      • Mayer A.R.
      • Ling J.
      • Mannell M.V.
      • et al.
      A prospective diffusion tensor imaging study in mild traumatic brain injury.
      ,
      • Ling J.M.
      • Peña A.
      • Yeo R.A.
      • et al.
      Biomarkers of increased diffusion anisotropy in semi-acute mild traumatic brain injury: A longitudinal perspective.
      ] and adults with mild traumatic brain injury in both the acute and chronic stages of injury [
      • Jinguji T.M.
      • Bompadre V.
      • Harmon K.G.
      • et al.
      Sport Concussion Assessment Tool-2: Baseline values for high school athletes.
      ]. Mechanical forces resulting from mild traumatic brain injury may stretch the axons and supporting structures, causing changes in the ion channels that could ultimately lead to an increase in intracellular water and a decrease in extracellular water. The decrease in extracellular water may be reflected as a decrease in radial diffusivity, i.e., diffusivity perpendicular to the axon [
      • Rosenblum W.I.
      Cytotoxic edema: Monitoring its magnitude and contribution to brain swelling.
      ]. These changes may be related to processes associated with subtle tissue injury such as inflammation and cytotoxic edema, and together reflect a general pattern of increased fractional anisotropy and decreased radial diffusivity [
      • Mayer A.R.
      • Ling J.
      • Mannell M.V.
      • et al.
      A prospective diffusion tensor imaging study in mild traumatic brain injury.
      ,
      • Ling J.M.
      • Peña A.
      • Yeo R.A.
      • et al.
      Biomarkers of increased diffusion anisotropy in semi-acute mild traumatic brain injury: A longitudinal perspective.
      ], suggesting an increase in the directionality of diffusion and the restriction of overall diffusion [
      • Green H.A.
      • Peña A.
      • Price C.J.
      • et al.
      Increased anisotropy in acute stroke: A possible explanation.
      ,
      • Bhagat Y.A.
      • Emery D.J.
      • Shuaib A.
      • et al.
      The relationship between diffusion anisotropy and time of onset after stroke.
      ].
      Our findings of increased fractional anisotropy up to 2 months after injury suggest that pathologic processes and changes in cerebral microstructure related to an initial injury persist well beyond the initial event. However, our understanding of these processes remains limited. Work from the animal literature suggests that continuing axonal pathology may follow the initial injury during a 4-6 week period, and may contribute to late changes in cognition after a concussion [
      • Spain A.
      • Daumas S.
      • Lifshitz J.
      • et al.
      Mild fluid percussion injury in mice produces evolving selective axonal pathology and cognitive deficits relevant to human brain injury.
      ].
      The primary limitations of this preliminary study include its small sample size, the types of sports that resulted in the concussion, and the variability in number of concussions and time since concussion. Although the statistical power of our results is limited by the small sample size, the pattern of results we observed is similar to that reported in recent studies. The majority of concussions in our sample occurred within the sport of ice hockey. We also included two athletes who sustained a concussion while playing rugby, and one athlete who sustained a concussion while playing baseball. The mechanism of injury in these sports may be different from those in ice hockey, and could have led to some variability in the sample. The number of concussions in our sample ranged from 1-4. These numbers are similar to those cited in other studies, and are in fact quite typical of the numbers reported in athletes who engage in high-level sports. In addition, the length of time between concussion and magnetic resonance imaging varied, largely because of practical recruitment issues. These variations in time may have affected our data. However, we demonstrated significant group differences between adolescents with and without concussions regardless of these factors. Future studies with larger sample sizes should allow for better stratifications of participants, based on the nature of, number of, and time after concussions.
      The increased incidence of sports-related concussions and the potential serious long-term consequences of injury to the developing brain may exert enormous clinical, societal, and economic impacts. Despite these potential impacts, our understanding of the nature of concussion-related brain injury, the risk factors associated with injury, and the mechanisms of recovery in the pediatric population remains limited. The Canadian Pediatric Society recently recommended that “return to sport decisions should be more conservative, cautious and individualized in pediatric athletes” [
      • Purcell L.K.
      Evaluation and management of children and adolescents with sports-related concussion.
      ]. Our preliminary findings support this recommendation, and illustrate that adolescent athletes exhibit changes in their brains for a longer period than was previously known. These results provide evidence for the need for age-specific diagnostic guidelines that are applied across the disciplines of neurology, physical medicine, rehabilitation, and sports medicine.
      Future studies will provide new information on the impact of brain injury on function, and will help in understanding the risks of returning to play and sustaining additional concussions. This information will assist in the development of improved clinical practice guidelines in physicians’ management of sport concussion, including return-to-play decisions.
      This research was supported by the Martha Piper Research Fund, the Brain Research Centre at the University of British Columbia, and the University of British Columbia. The authors thank British Columbia Hockey for their support and all the participants, trainers, and coaches who contributed to this study. M.R.B. received salary support from the Heart and Stroke Foundation of Canada. The Canada Research Chairs and Michael Smith Foundation for Health Research support L.A.B. The authors also thank Alex Rauscher, PhD for his assistance with the magnetic resonance imaging protocol, and Shelina Babul-Wellar, PhD for help with participant recruitment.

      References

        • Gilchrist J.
        • Thomas K.E.
        • Xu L.
        • McGuire L.C.
        • Coronado V.G.
        Nonfatal sports and recreation related traumatic brain injuries among children and adolescents treated in emergency departments in the United States, 2001-2009.
        MMWR. 2011; 60: 1337-1342
      1. Billette JM, Janz T. Injuries in Canada: Insights from the Canadian Community Health Survey 2011. Statistics Canada, Catalogue no. 82-624-X.

        • Kochanek P.
        Pediatric traumatic brain injury: Quo vadis?.
        Dev Neurosci. 2006; 28: 244-255
        • Adelson P.D.
        • Kochanek P.M.
        Head injury in children.
        J Child Neurol. 1998; 13: 2-15
        • Dikmen S.
        • McLean A.
        • Temkin N.
        Neuropsychological and psychosocial consequences of minor head injury.
        J Neurol Neurosurg Psychiatry. 1986; 49: 1227-1232
        • Hinton-Bayre A.
        • Geffen G.
        Severity of sports-related concussion and neuropsychological test performance.
        Neurology. 2002; 59: 1068-1070
        • McCrory P.
        • Meeuwisse W.
        • Johnston K.
        • et al.
        Consensus statement on concussion in sport: The Third International Conference on Concussion in Sport held in Zurich, November 2008.
        Physician Sportsmed. 2009; 37: 141-159
        • Barlow K.
        • Crawford S.
        • Stevenson A.
        • Sandhu S.
        • Belanger F.
        • Dewey D.
        Epidemiology of postconcussion syndrome in pediatric mild traumatic brain injury.
        Pediatrics. 2010; : e374-e381
        • Di Stefano G.
        • Bachevalier J.
        • Levin H.
        • Song J.
        • Scheibel R.
        • Fletcher J.
        Volume of focal brain lesions and hippocampal formation in relation to memory function after closed head injury in children.
        J Neurol Neurosurg Psychiatry. 2000; 69: 210-216
        • Anderson C.
        • Bigler E.
        • Blatter D.
        Frontal lobe lesions, diffuse damage, and neuropsychological functioning in traumatic brain-injured patients.
        J Clin Exp Neuropsychol. 1995; 17: 900-908
        • Max J.
        • Lindgren S.
        • Robin D.
        • et al.
        Traumatic brain injury in children and adolescents: Psychiatric disorders in the second three months.
        J Nerv Ment Dis. 1997; 185: 394-401
        • Zappalà G.
        • Thiebaut de Schotten M.
        • Eslinger P.J.
        Traumatic brain injury and the frontal lobes: What can we gain with diffusion tensor imaging?.
        Cortex. 2011; 6: 156-165
        • Basser P.J.
        • Jones D.K.
        Diffusion-tensor MRI: Theory, experimental design and data analysis—A technical review.
        NMR Biomed. 2002; 15: 456-467
        • Jiang H.
        • van Zijl P.C.M.
        • Kim J.
        • Pearlson G.D.
        • Mori S.
        DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking.
        Comput Methods Programs Biomed. 2006; 81: 106-116
        • Mori S.
        • Wakana S.
        • van Zijl P.C.M.
        • Nagae-Poetscher L.M.
        MRI atlas of human white matter.
        Elsevier, Amsterdam2005
        • Talairach J.
        • Tournoux P.
        Co-planar stereotaxic atlas of the human brain.
        Thieme, New York1988
        • Mazziotta J.
        • Toga A.
        • Evans A.
        • et al.
        A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM).
        Philos Trans R Soc Lond [Biol]. 2001; 356: 1293-1322
        • Alexander A.L.
        • Lee J.E.
        • Lazar M.
        • Field A.S.
        Diffusion tensor imaging of the brain.
        Neurotherapeutics. 2007; 4: 316-329
        • Jinguji T.M.
        • Bompadre V.
        • Harmon K.G.
        • et al.
        Sport Concussion Assessment Tool-2: Baseline values for high school athletes.
        Br J Sports Med. 2012; 46: 365-370
        • Maugans T.A.
        • Farley C.
        • Altaye M.
        • Leach J.
        • Cecil K.M.
        Pediatric sports-related concussion produces cerebral blood flow alterations.
        Pediatrics. 2012; 129: 28-37
        • Cubon V.A.
        • Putukian M.
        • Boyer C.
        • Dettwiler A.
        A diffusion tensor imaging study on the white matter skeleton in individuals with sports-related concussion.
        J Neurotrauma. 2011; 28: 189-201
        • Henry L.C.
        • Tremblay J.
        • Tremblay S.
        • et al.
        Acute and chronic changes in diffusivity measures after sports concussion.
        J Neurotrauma. 2011; 28: 2049-2059
        • Wozniak J.R.
        • Krach L.
        • Ward E.
        • et al.
        Neurocognitive and neuroimaging correlates of pediatric traumatic brain injury: A diffusion tensor imaging (DTI) study.
        Arch Clin Neuropsychol. 2007; 22: 555-568
        • Wilde E.A.
        • McCauley S.R.
        • Hunter J.V.
        • et al.
        Diffusion tensor imaging of acute mild traumatic brain injury in adolescents.
        Neurology. 2008; 70: 948-955
        • Mayer A.R.
        • Ling J.
        • Mannell M.V.
        • et al.
        A prospective diffusion tensor imaging study in mild traumatic brain injury.
        Neurology. 2010; 74: 643-650
        • Ling J.M.
        • Peña A.
        • Yeo R.A.
        • et al.
        Biomarkers of increased diffusion anisotropy in semi-acute mild traumatic brain injury: A longitudinal perspective.
        Brain. 2012; 135: 1281-1292
        • Rosenblum W.I.
        Cytotoxic edema: Monitoring its magnitude and contribution to brain swelling.
        J Neuropathol Exp Neurol. 2007; 66: 771-778
        • Green H.A.
        • Peña A.
        • Price C.J.
        • et al.
        Increased anisotropy in acute stroke: A possible explanation.
        Stroke. 2002; 33: 1517-1521
        • Bhagat Y.A.
        • Emery D.J.
        • Shuaib A.
        • et al.
        The relationship between diffusion anisotropy and time of onset after stroke.
        J Cereb Blood Flow Metab. 2006; 26: 1442-1450
        • Spain A.
        • Daumas S.
        • Lifshitz J.
        • et al.
        Mild fluid percussion injury in mice produces evolving selective axonal pathology and cognitive deficits relevant to human brain injury.
        J Neurotrauma. 2010; 27: 1429-1438
        • Purcell L.K.
        Evaluation and management of children and adolescents with sports-related concussion.
        Paediatr Child Health. 2012; 17: 31-34