Skip to main content

Sub-acute Changes on MRI Measures of Cerebral Blood Flow and Venous Oxygen Saturation in Concussed Australian Rules Footballers

Abstract

Background

Sports-related concussion (SRC) is common in collision sport athletes. There is growing evidence that repetitive SRC can have serious neurological consequences, particularly when the repetitive injuries occur when the brain has yet to fully recover from the initial injury. Hence, there is a need to identify biomarkers that are capable of determining SRC recovery so that they can guide clinical decisions pertaining to return-to-play. Cerebral venous oxygen saturation (SvO2) and cerebral blood flow (CBF) can be measured using magnetic resonance imaging (MRI) and may provide insights into changing energy demands and recovery following SRC.

Results

In this study we therefore investigated SvO2 and CBF in a cohort of concussed amateur Australian Football athletes (i.e., Australia’s most participated collision sport). Male and female Australian footballers (n = 13) underwent MRI after being cleared to return to play following a mandatory 13-day recovery period and were compared to a group of control Australian footballers (n = 16) with no recent history of SRC (i.e., > 3 months since last SRC). Despite the concussed Australian footballers being cleared to return to play at the time of MRI, we found evidence of significantly increased susceptibility in the global white matter (p = 0.020) and a trend (F5,21 = 2.404, p = 0.071) for reduced relative CBF (relCBF) compared to the control group. Further, there was evidence of an interaction between sex and injury in straight sinus susceptibility values (F1,25 = 3.858, p = 0.061) which were decreased in female SRC athletes (p = 0.053). Of note, there were significant negative correlations between straight sinus susceptibility and relCBF suggesting impaired metabolic function after SRC.

Conclusions

These findings support the use of quantitative susceptibility mapping (QSM) and relCBF as sensitive indicators of SRC, and raise further concerns related to SRC guidelines that allow for return-to-play in less than two weeks.

Key Points

  • Cerebral venous oxygen saturation (SvO2) and cerebral blood flow (CBF) can be measured using MRI and may provide insights into changing energy demands and recovery following sports related concussion (SRC).

  • Although clear to return to play at the time of MRI, we found significant changes in CBF and susceptibility suggesting increased cerebral vulnerability in athletes following SRC.

  • These findings raise further concerns related to SRC guidelines that allow for return-to-play in less than 2 weeks.

Background

Sports-related concussion (SRC), like other mild traumatic brain injuries (mTBI), is caused by the rapid acceleration or deceleration of the brain which stretches the cytoskeleton and initiates a cascade of ionic fluxes and the indiscriminate release of the excitatory neurotransmitter glutamate. An energy crisis ensues as ATP-powered membrane pumps attempt to restore the ionic balance [1]. Acute hyperglycolysis is followed by a hypometabolic period that can last for days after injury—potentially increasing the risk of exacerbated neurological outcomes following a subsequent injury [2]. As such, athletes are now held out of play until they are at least asymptomatic to mitigate risk, although there is still no consensus on how long is required for, or whether symptom status accurately reflects, neurobiological recovery [3].

A number of promising biomarkers have been developed with the aim of objectively determining recovery. Magnetic resonance imaging (MRI) techniques including magnetic resonance spectroscopy [4] and diffusion weighted imaging [5,6,7,8] have been used to investigate a range of often subtle physiological cascades that follow SRC. Quantitative susceptibility mapping (QSM) is a comparatively new technique that utilizes MR phase images to map tissue susceptibility (χ) [9]. QSM is sensitive to diamagnetic and paramagenetic biomaterials including, among others, ferritin, hemosiderin, myelin and calcium [9, 10] and has shown promise in assessing grey and white matter susceptiblity changes acutely following SRC [11, 12].

Recently, QSM has also been used to investigate cerebral venous oxygen saturation (SvO2) and in doing so, potentially provide insights into changing energy demands following injury [13]. SvO2 is measured using quantitative susceptibility mapping (QSM) which utilizes MR phase images to map tissue susceptibility (χ) [9]. During brain metabolism, the release of O2 from diamagnetic (χ < 0) hemoglobin produces paramagenetic (χ > 0) deoxyhemoglobin. In mTBI, decreases in venous susceptibility and hence increased SvO2 have been observed acutely following injury, potentially reflecting post-injury hypometabolism [13, 14].

Increased SvO2 may also reflect increased cerebral blood flow (CBF) that exceeds cerebellar energy demands [14]. Like SvO2, CBF can also be estimated non-invasively using MRI [15] and perturbations in CBF have been observed after mTBI, including SRC [16,17,18,19]. However, whether there is a relationship between decreased venous susceptibility (i.e., increased SvO2) and increased CBF has yet to be determined. Furthermore, previous SvO2 and CBF studies in SRC have included limited sub-acute recovery times and have focused on North American sports (e.g., American football). No studies to date have examined SvO2 and CBF in Australian rules footballers (i.e., Australia’s most participated collision sport), and an understanding of sub-acute recovery at approximately two weeks post-SRC is of particular relevance to return to play decisions (i.e., has the brain recovered) considering that professional and amateur Australian rules football leagues mandate a minimum 12-day recovery time. Therefore, here we acquired QSM and CBF images in a cohort of amateur Australian rules football athletes to test the hypotheses that tissue susceptibility changes and increased SvO2 would be present at 13 days post-SRC, and that SvO2 and CBF would be correlated.

Methods

Ethics Approval and Consent to Participate

Study procedures were approved by the Melbourne Health Human Ethics Institutional Review Board (#2015.012), were in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki) for experiments involving humans, and all participants provided written informed consent prior to the study.

Participants

Amateur Australian Football athletes were recruited from clubs in Melbourne, Victoria, between 2018 and 2020. Control athletes (9 males, 7 females), with no recent SRC in the past 3 months, were compared to athletes with SRC (7 males, 6 females). Athletes were withheld from contact sports for 2 weeks following injury, and MRI scanning was performed on day 13 (the day before they returned to play). Athletes were interviewed to determine their history of concussion (HoC), neurosurgery, or major psychiatric disturbances.

SRC Diagnosis

SRC was diagnosed by the team physician based on sideline and/or postgame assessment that included the Sports Concussion Assessment Tool (SCAT). When available, video evidence was also reviewed for immediate signs of SRC.

MRI Acquisition and Processing

Neuroimaging was performed with a Siemens 3 T Prisma MRI. 3D T1-weighted images were acquired using an MPRAGE sequence with repetition time (TR) = 2400 ms, echo time (TE) = 2.24 ms, inversion time (TI) = 1060 ms, flip angle = 8°, and resolution = 0.8 × 0.8 × 0.8 mm3. T2*-weighted multi-echo images were acquired with TR = 24 ms, TE = 4.26 ms, ΔTE = 2.31 ms; flip angle = 20°; resolution = 0.83 × 0.83 × 0.83 mm3 and flow compensation turned on. Relative CBF (relCBF) was measured using a 2D PICORE pulsed arterial spin labeling (PASL) product sequence with TR = 2500 ms, TE = 11 ms, PICORE Q2T perfusion mode with 101 dynamics (50 pairs of tag and control measurements and one M0 image), bolus duration = 1600 ms, inversion time = 1800 ms, in-plane resolution = 3 × 3 mm2, 14 slices of thickness = 6 mm with slice spacing 7.5 mm and motion correction turned on. This commercially available sequence has good within and between session reproducibility [20] and has been selected as the Siemens MRI sequence for a large-scale multisite study of concussion [21].

Advanced Normalisation Tools (ANTs) was used to create a study-specific template image from each subject’s T1-weighted image [22]. The template image was registered to MNI space to facilitate segmentation with regions of interest (ROIs) defined by the Harvard–Oxford Subcortical Structural Atlas (included as part of the FMRIB Software Library). Intra-subject registration of motion corrected ASL and T2*-weighted images to the T1-weighted image was performed using an affine registration, also with ANTs and the Harvard–Oxford Subcortical Structural Atlas transformed into subject space. Atlas images and Siemen’s reconstructed relCBF images were read into MATLAB (R2021a, MathWorks, Natick, Massachusetts) and the mean value determined for 5 ROIs: the right and left cerebral cortex, the right and left white matter, and the basal ganglia (comprising bilateral caudate, putamen, accumbens and pallidum regions).

QSM images were reconstructed from Siemen’s magnitude and phase images using nonlinear dipole inversion [23] and MATLAB. To investigate for brain-wide changes in gray matter and white matter susceptibility we generated global gray and white matter masks based on an automated method that incorporates a stability mask [11, 12]. Global grey and white matter masks were generated by first excluding voxels with R2* less than 1 ms−1 and greater than 65 ms−1 to remove large vessels such as the straight sinus from the final gray matter mask. A stability mask was then constructed by computing coefficients of variability with an upper threshold of 0.8. White and gray matter were subsequently defined as χ < − 0.03 ppm and χ > 0.05 ppm, respectively and mean susceptibility values were then calculated for each [11, 12].

QSM images were also used to assess SvO2. Maximum intensity projection (MIP) images were reconstructed over 10 sagittal slices and the mean susceptibility measured in the straight sinus, a vessel known to be affected after mTBI [13]. Finally, correlations were performed between straight sinus susceptibility and relCBF values to assess for a relationship between regional CBF and increased SvO2 (i.e., decreased susceptibility), as well as between symptom number and symptom severity and regional measures of relCBF, global grey and white matter QSM values and SvO2.

Statistical Testing

Participant demographics were assessed using a 2-way ANOVA for age, education, participation in collision sports, and previous concussions with injury and sex as between subject factors. Statistical testing of symptom number and symptom severity, relCBF, and whole-brain gray and white matter susceptibility measures, were performed with a 2-way multivariate ANOVA (MANOVA) with injury and sex as between subject factors. Statistical testing of a history of multiple concussions was performed with a χ2 test. Susceptibility measures in the straight sinus were analyzed using a two-way ANOVA, with injury and sex as between subject factors. Bonferroni corrected post-hoc comparisons were performed when appropriate. To investigate the relationship between symptom number and severity scores and the measured relCBF and susceptibility values, and between straight sinus susceptibility and relCBF values, Pearson correlation analyses were performed. All statistical testing was performed using SPSS software (version 27.0, IBM Corp, Armonk, NY) with significance set at p < 0.05. Multiple comparison correction of correlation analyses were performed using the Benjamini–Hochberg false discovery rate correction set to 10%.

Results

Participant Demographics Revealed Significant Sex and Injury Effects

Analysis of participant demographics revealed that males had played more years of collision sport (p = 0.002) and had a greater number of previous concussions (p = 0.027), than their female counterparts. There were significant interactions between sex and SRC for both symptom number and symptom severity. While male SRC athletes tended to have more symptoms and greater symptom severity, the opposite was true in females. In this cohort, female control athletes had both a greater number of symptoms (p = 0.016) and symptom severity (p = 0.031) than their SRC counterparts.

A Trend Towards Persisting Hypoperfusion After SRC

Representative relCBF images are shown in Fig. 1A. We measured mean relCBF in 5 ROIs including the right and left cerebral cortex, the right and left white matter, and the basal ganglia (Table 1). Registered Harvard–Oxford Subcortical Structural Atlas ROIs (left side only) are shown overlaid on the left hemisphere of one representative subject in Fig. 1B. Two-way MANOVA demonstrated a trend for decreased relCBF in athletes with SRC (F5,21 = 2.404, p = 0.071, Wilks’ Λ = 0.636, Fig. 1C). There was no interaction between sex and injury and no main effect of sex (both, p > 0.05) (Table 2).

Fig. 1
figure 1

Decreased relative cerebral blood flow (relCBF) 14 days after SRC. A Representative relCBF images from one male control (mCon), female control (fCon), male SRC (mSRC), and female SRC (fSRC) athlete. Four slices are shown for each representative athlete. Colorbar shows relCBF values and ‘L’ indicates left side of brain. B Representative relCBF image overlaid with co-registered Harvard–Oxford Subcortical Structural Atlas. C Median relCBF values plotted for 5 ROIs. Two-way MANOVA revealed a significant main effect of injury with concussed athletes having significantly decreased relCBF (p = 0.039). relCBF = relative cerebral blood flow, SRC = sports related concussion

Table 1 Participant demographics
Table 2 Mean (± SEM) relCBF values for each region

There were Significant Differences in Whole-Brain White Matter QSM Values

Figure 2 presents the mean control subject QSM image in study template space (A) and the corresponding coefficient of variability image (B). The coefficient of variability image provides an estimate of reliable susceptibility within each voxel, or MRI data point. Voxels with a value below 0.8 (depicted as dark blue in Fig. 2B) were selected for further analysis and categorized as either white matter (χ < − 0.03 ppm) or gray matter (χ > 0.05 ppm) as shown in Fig. 2C [16]. Two-way MANOVA demonstrated a significant main effect of injury (F2,24 = 3.567, p = 0.044, Wilks’ Λ = 0.771, Fig. 2D). Pairwise comparisons with Bonferroni correction revealed that athletes with SRC had significantly increased susceptibility in the global white matter (p = 0.020).

Fig. 2
figure 2

Analysis of global white and gray matter susceptibility values. A Mean control QSM image in study template space. Colorbar indicates susceptibility values in ppm. B Map of coefficient of variability. C Masks of global white (red, χ < − 0.03 ppm) and gray (orange, χ > 0.05 ppm) matter were generated by thresholding reliable QSM values (i.e. those voxels with coefficient of variability < 0.8) from the mean control image. D Two-way MANOVA revealed a significant effect of injury (p = 0.044, *) with post-hoc comparisons showing that SRC athletes had significantly increased susceptibility in the global white matter (Bonferroni corrected p = 0.020). QSM = quantitative susceptibility mapping, SRC = sports related concussion

There was a Trend Towards Altered Straight Sinus SvO 2 Values Following SRC

To assess straight sinus QSM values, we generated sagittal MIP images for each subject (Fig. 3A). Two-way ANOVA showed a trend towards a significant sex × injury interaction in mean susceptibility values (F1,25 = 3.858, p = 0.061, Fig. 3B). This trend was driven by female SRC athletes who tended to demonstrate decreased straight sinus susceptibility following SRC (p = 0.053). Mean (± SEM) values were: male control = 0.109 ± 0.009 ppm; male SRC = 0.117 ± 0.007 ppm; female control = 0.114 ± 0.010 ppm; and female SRC = 0.086 ± 0.010 ppm.

Fig. 3
figure 3

Straight sinus susceptibility as a measure of SvO2. A Representative maximum intensity projection (MIP) image for one participant with the straight sinus manually delineated in magenta. B Mean susceptibility values for the straight sinus for all participants. Statistical testing with 2-way ANOVA revealed a trend towards a main effect of injury (p = 0.061). SvO2 = Cerebral venous oxygen saturation

Neither QSM Values, nor relCBF Values, Correlated with Symptom Number or Severity Scores

We investigated for potential relationships between symptom number and symptom severity scores and both QSM values and relCBF values. There were no significant correlations within the SRC athletes only, nor were there any significant correlations when all study participants were included following Benjamini–Hochberg false discovery rate correction (Table 3).

Table 3 Reported r and p values for each of the correlations between symptom number and severity and the measured relCBF and QSM values in each region

Straight Sinus QSM Values Correlate Negatively with relCBF Values

Analysis of straight sinus SvO2 measures and relCBF in study participants revealed a significant correlation in the left grey matter (r27 = − 0.466, p = 0.011, Fig. 4A) and left white matter (r27 = − 0.415, p = 0.025, Fig. 4B). These regions also showed trends in the right hemisphere (p = 0.052 and p = 0.085, respectively).

Fig. 4
figure 4

Straight sinus susceptibility values correlated with relCBF in the left hemisphere. Across all participants relCBF in the left A grey and B white matter correlated negatively with susceptibility values in the straight sinus—a measure of SvO2. C Although not reaching significance, an analysis of the SRC athletes also revealed an inverse relationship between straight sinus susceptibility and relCBF in the basal ganglia. relCBF = relative cerebral blood flow, SRC = sports related concussion, SvO2 = Cerebral venous oxygen saturation

A second analysis including just the SRC athletes revealed a relationship between straight sinus susceptibility (SvO2) and relCBF in the basal ganglia ROI (r11 = − 0.631, p = 0.021, Fig. 4C), however this did not satisfy Benjamini–Hochberg false discovery rate correction (p < 0.02).

Discussion

There is widespread concern regarding the impact of repeated SRCs. Evidence from both animal [24] and human [5, 11, 18, 19] neuroimaging studies suggests that clinical recovery, i.e. the absence of symptoms, may precede physiological recovery. Here, male and female Australian rules footballers diagnosed with a recent SRC underwent MRI after being cleared to return to play following a mandatory 13-day recovery period. Australian rules football is a collision sport with tackling a key component of the game and played without compulsory protective equipment. Similar rules apply to men and women leagues, and it has one of the highest rates of SRC in Australia (80 per 100,000 participants) [25, 26].

We assessed QSM and relCBF measures in athletes with recent SRC, comparing their results to a cohort of control AFL athletes with no SRC in at least the past three months. Our findings build on previous studies at acute time points [11, 12], demonstrating global susceptibility differences at 13 days post-injury—when athletes were cleared to return to play. We showed trends for persisting hypoperfusion and increased SvO2 in recent SRC athletes and furthermore, significant negative correlations between SvO2 and relCBF measures.

A known limitation of QSM is that susceptibility values are dependent on the orientation of axons in the applied magnetic field and less reliable outside the deep grey and white matter structures [11]. As such, we assessed the variation in susceptibility between control subjects and only included those voxels that met previously defined criteria for reliability. Consistent with earlier work, we found that susceptibility was significantly increased in the global white matter and unchanged in the global grey matter following SRC [11]. This may reflect the increased vulnerability of white matter fibre bundles to the rotational forces seen in SRC although the underlying pathology driving increases in susceptibility remains to be elucidated [5, 6, 11, 12]. One interpretation is that increased white matter susceptibility reflects transient cytotoxic edema [5, 11, 12].

Hypoperfusion following mTBI [27] and SRC [16, 21, 28, 29] has been reported previously, although hyperperfusion has also been observed [14, 17, 30]. We measured relCBF values in five brain regions and found no significant differences, and only a non-significant trend, for hypoperfusion in SRC athletes compared to non-concussed controls. Meier et al., 2015 reported decreased relCBF in male athletes 1 day and 1 week after SRC compared to non-concussed controls [16]. Our results here suggest that hypoperfusion persists beyond the acute time point, consistent with a very recent study demonstrating subacute decreases in CBF that were also evident 1 year after return-to-play [18]. As hypoperfusion is thought to contribute to increased cerebral vulnerability after SRC, and potentially exacerbated outcomes following a successive concussion, these findings have important implications in return to play decision making [31].

In addition to altered cerebral perfusion, concussion also initiates cascades in cerebral metabolism [1, 2, 29]. Here, we assessed metabolic function (SvO2) using QSM. Taking advantage of the neuron’s almost exclusive dependence on aerobic metabolism we measured the change in susceptibility due to the relative concentrations of diamagnetic hemoglobin and paramagnetic deoxyhemoglobin [13, 14]. We found a trend of decreased susceptibility and hence increased SvO2 in the straight sinus of female athletes after SRC but no change in male athletes.

Previous studies have also demonstrated decreased vessel susceptibility acutely following mTBI [13, 14]. Here, we found that susceptibility in the straight sinus correlated negatively with relCBF measured in the left grey matter and white matter ROIs. Further, when this analysis was limited to the recent SRC athletes, there was a significant negative correlation between straight sinus susceptibility and relCBF in the basal ganglia ROI. Decreased susceptibility of the straight sinus implies greater levels of diamagnetic hemoglobin of the blood (i.e. elevated SvO2) and, in the presence of decreased relCBF, may suggest decreased oxygen consumption in the tissue [14]. Consistent with this, Champagne et al. [29] reported post-SRC group reductions in CBF and resting cerebral metabolic rate of oxygen. As oxygen extraction fraction was unchanged these results suggested acutely impaired metabolic function after SRC.

A strength of this study is the well-matched samples of male and female athletes, imaged at the same time (i.e., 13 days) post-injury. Unlike other collision sports, male and female athletes play under similar rules and without compulsory head protection, and hence they represent a unique cohort for the study of SRC. However, the small cohort size, the reliance on self-reported HoC and symptoms, and the lack of control groups without a HoC or collision sports participation are limitations of the study. Our control group (i.e., Australian footballers with a similar self-reported HoC but no recently diagnosed SRC in the past three months) is arguably the most clinically relevant in terms of assessing whether the proposed MRI biomarkers are sensitive to sub-acute SRC changes in this population; however future larger scale studies would benefit from also including control groups without a HoC and without a history of collision sport participation to provide insights into the impact of these variables. Susceptibility quantification can be confounded by partial volume effects on vessels from surrounding brain tissue, flow acceleration effects and the choice of QSM processing pipeline [32]. To best control for partial volume effects, we measured susceptibility over global gray and white matter segmentations based on a stability mask of reliable control values. We also measured SvO2 in the straight sinus, a large vessel approximately 5 mm in diameter [33], using maximum intensity projection images (MIPs). Furthermore, QSM images were reconstructed using nonlinear dipole inversion with Tikhonov regularization which has been shown to provide more accurate quantification of venous susceptibility than other methods [32].

Conclusions

To mitigate the potential risk of repetitive SRC, athletes are typically withheld from competition and undertake a graded loading program, gradually increasing intensity with progression guided by the continued absence of self-reported symptoms [3]. Mandatory recovery periods have also been introduced/suggested for many sports, although there is no consensus on timing [3]. For example, in 2021, the professional Australian Football League (i.e., the AFL) updated their concussion guidelines, from a 6-day minimum recovery period to 12 days. The current study indicates that SRC can result in abnormalities in brain tissue susceptibility, relCBF and cerebral SvO2 that persist for at least 13 days and are present in players that have been cleared to return to play. Although these results are at a group level, and individual variability should be accounted for in the management of SRC, they do raise further concerns pertaining to the length of mandatory recovery in Australian footballers.

Availability of Data and Materials

The datasets generated and/or analysed during the current study are not publicly available due to ethical constraints but are available from the corresponding author on reasonable request.

Abbreviations

ASL:

Arterial spin labeling

CBF:

Cerebral blood flow

HoC:

History of concussion

HoMC:

History of multiple concussions

MIP:

Maximum intensity projection

MRI:

Magnetic resonance imaging

mTBI:

Mild traumatic brain injury

QSM:

Quantitative susceptibility mapping

relCBF:

Relative CBF

ROI:

Region of interest

SCAT:

Sports Concussion Assessment Tool

SRC:

Sports related concussion

SvO2 :

Cerebral venous oxygen saturation

References

  1. Barkhoudarian G, Hovda DA, Giza CC. The molecular pathophysiology of concussive brain injury. Clin Sports Med. 2011;30(1):33–48.

    Article  Google Scholar 

  2. Giza CC, Hovda DA. The new neurometabolic cascade of concussion. Neurosurgery. 2014;75(Suppl 4):S24-33.

    Article  Google Scholar 

  3. McCrory P, Meeuwisse W, Dvorak J, Aubry M, Bailes J, Broglio S, et al. Consensus statement on concussion in sport—the 5(th) international conference on concussion in sport held in Berlin, October 2016. Br J Sports Med. 2017;51(11):838–47.

    PubMed  Google Scholar 

  4. Gardner AJ, Iverson GL, Wojtowicz M, Levi CR, Kay-Lambkin F, Schofield PW, et al. MR spectroscopy findings in retired professional rugby league players. Int J Sports Med. 2017;38(3):241–52.

    CAS  Article  Google Scholar 

  5. Wright DK, Symons GF, O’Brien WT, McDonald SJ, Zamani A, Major B, et al. Diffusion imaging reveals sex differences in the white matter following sports-related concussion. Cereb Cortex. 2021;31:4411–9.

    Article  Google Scholar 

  6. Wright DK, Gardner AJ, Wojtowicz M, Iverson GL, O’Brien TJ, Shultz SR, et al. White matter abnormalities in retired professional rugby league players with a history of concussion. J Neurotrauma. 2021;38(8):983–8.

    Article  Google Scholar 

  7. Symons GF, Clough M, Mutimer S, Major BP, O’Brien WT, Costello D, et al. Cognitive ocular motor deficits and white matter damage chronically after sports-related concussion. Brain Commun. 2021;3(3):fcab213.

    Article  Google Scholar 

  8. Major B, Symons GF, Sinclair B, O’Brien WT, Costello D, Wright DK, et al. White and gray matter abnormalities in Australian footballers with a history of sports-related concussion: an MRI study. Cereb Cortex. 2021;31(12):5331–8.

    Article  Google Scholar 

  9. Wang Y, Liu T. Quantitative susceptibility mapping (QSM): decoding MRI data for a tissue magnetic biomarker. Magn Reson Med. 2015;73(1):82–101.

    CAS  Article  Google Scholar 

  10. Duyn JH, Schenck J. Contributions to magnetic susceptibility of brain tissue. NMR Biomed. 2017;30(4):e3546.

    Article  Google Scholar 

  11. Koch KM, Meier TB, Karr R, Nencka AS, Muftuler LT, McCrea M. Quantitative susceptibility mapping after sports-related concussion. Am J Neuroradiol. 2018;39(7):1215–21.

    CAS  Article  Google Scholar 

  12. Koch KM, Nencka AS, Swearingen B, Bauer A, Meier TB, McCrea M. Acute post-concussive assessments of brain tissue magnetism using magnetic resonance imaging. J Neurotrauma. 2021;38(7):848–57.

    Article  Google Scholar 

  13. Chai C, Guo R, Zuo C, Fan L, Liu S, Qian T, et al. Decreased susceptibility of major veins in mild traumatic brain injury is correlated with post-concussive symptoms: a quantitative susceptibility mapping study. Neuroimage Clin. 2017;15:625–32.

    Article  Google Scholar 

  14. Doshi H, Wiseman N, Liu J, Wang W, Welch RD, O’Neil BJ, et al. Cerebral hemodynamic changes of mild traumatic brain injury at the acute stage. PLoS ONE. 2015;10(2):e0118061.

    Article  Google Scholar 

  15. Nakamura K, Wright D, Kondoh Y, Mizusawa S, Kinoshita T. Quantitative accuracy of delayed hyperperfusion in MRI of transient ischemia in rats. Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:839–42.

    PubMed  Google Scholar 

  16. Meier TB, Bellgowan PS, Singh R, Kuplicki R, Polanski DW, Mayer AR. Recovery of cerebral blood flow following sports-related concussion. JAMA Neurol. 2015;72(5):530–8.

    Article  Google Scholar 

  17. Churchill NW, Hutchison MG, Graham SJ, Schweizer TA. Mapping brain recovery after concussion: from acute injury to 1 year after medical clearance. Neurology. 2019;93(21):e1980–92.

    Article  Google Scholar 

  18. Churchill NW, Hutchison MG, Graham SJ, Schweizer TA. Acute and chronic effects of multiple concussions on midline brain structures. Neurology. 2021;97:e1170–81.

    CAS  Article  Google Scholar 

  19. Wang Y, Nelson LD, LaRoche AA, Pfaller AY, Nencka AS, Koch KM, et al. Cerebral blood flow alterations in acute sport-related concussion. J Neurotrauma. 2016;33(13):1227–36.

    Article  Google Scholar 

  20. Wang Y, Saykin AJ, Pfeuffer J, Lin C, Mosier KM, Shen L, et al. Regional reproducibility of pulsed arterial spin labeling perfusion imaging at 3T. Neuroimage. 2011;54(2):1188–95.

    Article  Google Scholar 

  21. Wang Y, Nencka AS, Meier TB, Guskiewicz K, Mihalik JP, Alison Brooks M, et al. Cerebral blood flow in acute concussion: preliminary ASL findings from the NCAA-DoD CARE consortium. Brain Imaging Behav. 2019;13(5):1375–85.

    Article  Google Scholar 

  22. Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JC. A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage. 2011;54(3):2033–44.

    Article  Google Scholar 

  23. Polak D, Chatnuntawech I, Yoon J, Iyer SS, Milovic C, Lee J, et al. Nonlinear dipole inversion (NDI) enables robust quantitative susceptibility mapping (QSM). NMR Biomed. 2020;33(12):e4271.

    Article  Google Scholar 

  24. Wright DK, Trezise J, Kamnaksh A, Bekdash R, Johnston LA, Ordidge R, et al. Behavioral, blood, and magnetic resonance imaging biomarkers of experimental mild traumatic brain injury. Sci Rep. 2016;6:28713.

    CAS  Article  Google Scholar 

  25. Finch CF, Clapperton AJ, McCrory P. Increasing incidence of hospitalisation for sport-related concussion in Victoria, Australia. Med J Aust. 2013;198(8):427–30.

    Article  Google Scholar 

  26. Symons GF, Clough M, Fielding J, O’Brien WT, Shepherd CE, Wright DK, et al. The neurological consequences of engaging in australian collision sports. J Neurotrauma. 2020;37(5):792–809.

    Article  Google Scholar 

  27. Liu W, Wang B, Wolfowitz R, Yeh PH, Nathan DE, Graner J, et al. Perfusion deficits in patients with mild traumatic brain injury characterized by dynamic susceptibility contrast MRI. NMR Biomed. 2013;26(6):651–63.

    CAS  Article  Google Scholar 

  28. Hamer J, Churchill NW, Hutchison MG, Graham SJ, Schweizer TA. Sex differences in cerebral blood flow associated with a history of concussion. J Neurotrauma. 2020;37(10):1197–203.

    Article  Google Scholar 

  29. Champagne AA, Coverdale NS, Fernandez-Ruiz J, Mark CI, Cook DJ. Compromised resting cerebral metabolism after sport-related concussion: a calibrated MRI study. Brain Imaging Behav. 2021;15(1):133–46.

    Article  Google Scholar 

  30. Barlow KM, Marcil LD, Dewey D, Carlson HL, MacMaster FP, Brooks BL, et al. Cerebral perfusion changes in post-concussion syndrome: a prospective controlled cohort study. J Neurotrauma. 2017;34(5):996–1004.

    Article  Google Scholar 

  31. Baker TL, Agoston DV, Brady RD, Major B, McDonald SJ, Mychasiuk R, et al. Targeting the cerebrovascular system: next-generation biomarkers and treatment for mild traumatic brain injury. Neuroscientist. 2021:10738584211012264.

  32. Berg RC, Preibisch C, Thomas DL, Shmueli K, Biondetti E. Investigating the effect of flow compensation and quantitative susceptibility mapping method on the accuracy of venous susceptibility measurement. Neuroimage. 2021;240:118399.

    CAS  Article  Google Scholar 

  33. Ye Y, Ding J, Huang S, Wang Q. Related structures in the straight sinus: an endoscopic anatomy and histological study. Front Neuroanat. 2020;14:573217.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by the National Health and Medical Research Council to DKW (Grant Number: 1174040) and SRS (Grant Numbers: 1141643 and 1159645).

Author information

Authors and Affiliations

Authors

Contributions

All authors conceptualized and designed the study, interpreted the data, and read and approved the final manuscript. DKW analyzed the data. DKW and SRS drafted the initial manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Sandy R. Shultz.

Ethics declarations

Ethics Approval and Consent to Participate

Study procedures were approved by the Melbourne Health Human Ethics Institutional Review Board, were in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki) for experiments involving humans, and all participants provided written informed consent prior to the study.

Consent for Publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Wright, D.K., O’Brien, T.J. & Shultz, S.R. Sub-acute Changes on MRI Measures of Cerebral Blood Flow and Venous Oxygen Saturation in Concussed Australian Rules Footballers. Sports Med - Open 8, 45 (2022). https://doi.org/10.1186/s40798-022-00435-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40798-022-00435-w

Keywords

  • Mild traumatic brain injury
  • Hypometabolism
  • Return-to-play
  • Quantitative susceptibility mapping
  • Neuroimaging