Abstract
Altered resting cerebral blood flow (CBF0) in the acute phase post-concussion may contribute to neurobehavioral deficiencies, often reported weeks after the injury. However, in addition to changes in CBF0, little is known about other physiological mechanisms that may be disturbed within the cerebrovasculature. The aim of this study was to assess whether changes in baseline perfusion following sport-related concussion (SRC) were co-localized with changes in cerebral metabolic demand. Forty-two subjects (15 SRC patients 8.0 ± 4.6 days post-injury and 27 age-matched healthy control athletes) were studied cross-sectionally. CBF0, cerebrovascular reactivity (CVR), resting oxygen extraction (OEF0) and cerebral metabolic rate of oxygen consumption (CMRO2|0) were measured using a combination of hypercapnic and hyperoxic breathing protocols, and the biophysical model developed in calibrated MRI. Blood oxygenation level dependent and perfusion data were acquired simultaneously using a dual-echo arterial spin labelling sequence. SRC patients showed significant decreases in CBF0 spread across the grey-matter (P < 0.05, corrected), and these differences were also confounded by the effects of baseline end-tidal CO2 (P < 0.0001). Lower perfusion was co-localized with reductions in regional CMRO2|0 (P = 0.006) post-SRC, despite finding no group-differences in OEF0 (P = 0.800). Higher CVR within voxels showing differences in CBF was also observed in the SRC group (P = 0.001), compared to controls. Reductions in metabolic demand despite no significant changes in OEF0 suggests that hypoperfusion post-SRC may reflect compromised metabolic function after the injury. These results provide novel insight about the possible pathophysiological mechanisms underlying concussion that may affect the clinical recovery of athletes after sport-related head injuries.
Similar content being viewed by others
Abbreviations
- [dHb]:
-
concentration of deoxy-hemoglobin
- ASL:
-
arterial spin labeling
- BOLD:
-
blood oxygen level dependent
- CBF:
-
cerebral blood flow
- CMRO2 :
-
cerebral metabolic rate of oxygen consumption
- CO2 :
-
carbon dioxide
- CVR:
-
cerebrovascular reactivity
- GM:
-
grey matter
- MNI:
-
montréal neurological institute
- MRI:
-
magnetic resonance imaging
- O2 :
-
oxygen
- OEF:
-
oxygen extraction fraction
- pCASL:
-
pseudo-continuous arterial spin labeling
- PETCO2 :
-
end-tidal pressure of carbon dioxide
- PETO2 :
-
end-tidal pressure of oxygen
- SRC:
-
sport-related concussion
References
Ainslie, P. N., & Duffin, J. (2009). Integration of cerebrovascular CO2 reactivity and chemoreflex control of breathing: Mechanisms of regulation, measurement, and interpretation. American Journal of Physiology - Regulatory Integrative and Comparative Physiology, 296(5). https://doi.org/10.1152/ajpregu.91008.2008.
Amyot, F., Kenney, K., Moore, C., Harber, M., Turtzo, L. C., Shenouda, C. N., et al. (2018). Imaging of cerebrovascular function in chronic traumatic brain injury. Journal of Neurotrauma, 35, neu.2017.5114. https://doi.org/10.1089/neu.2017.5114.
Andersson, J. L. R., Skare, S., & Ashburner, J. (2003). How to correct susceptibility distortions in spin-echo echo-planar images: Application to diffusion tensor imaging. NeuroImage, 20(2), 870–888. https://doi.org/10.1016/S1053-8119(03)00336-7.
Andersson, J. L. R., Jenkinson, M., & Smith, S. (2007). Non-linear registration aka spatial normalisation FMRIB Technial report TR07JA2. In Practice, (June), 22. http://fmrib.medsci.ox.ac.uk/analysis/techrep/tr07ja2/tr07ja2.pdf
Aslan, S., Xu, F., Wang, P. L., Uh, J., Yezhuvath, U. S., Van Osch, M., & Lu, H. (2010). Estimation of labeling efficiency in pseudocontinuous arterial spin labeling. Magnetic Resonance in Medicine, 63(3), 765–771. https://doi.org/10.1002/mrm.22245.
Barkhoudarian, G., Hovda, D. A., & Giza, C. C. (2011). The molecular pathophysiology of concussive brain injury. Clinics in Sports Medicine, 30(1), 33–48, vii–iii. https://doi.org/10.1016/j.csm.2010.09.001.
Barzilay, Z., Britten, A. G., Koehler, R. C., Dean, J. M., & Traystman, R. J. (1985). Interaction of CO2 and ammonia on cerebral blood flow and O2 consumption in dogs. The American Journal of Physiology, 248(4 Pt 2), H500–H507.
Battisti-Charbonney, A., Fisher, J., & Duffin, J. (2011). The cerebrovascular response to carbon dioxide in humans. The Journal of Physiology, 589(Pt 12), 3039–3048. https://doi.org/10.1113/jphysiol.2011.206052.
Bergsneider, M., Hovda, D. A., Lee, S. M., Kelly, D. F., McArthur, D. L., Vespa, P. M., et al. (2000). Dissociation of cerebral glucose metabolism and level of consciousness during the period of metabolic depression following human traumatic brain injury. Journal of Neurotrauma, 17(5), 389–401. https://doi.org/10.1089/neu.2000.17.389.
Bergsneider, M., Hovda, D. A., McArthur, D. L., Etchepare, M., Huang, S. C., Sehati, N., et al. (2001). Metabolic recovery following human traumatic brain injury based on FDG-PET: Time course and relationship to neurological disability. Journal of Head Trauma Rehabilitation, 16(2), 135–148. https://doi.org/10.1097/00001199-200104000-00004.
Bhogal, A. A., Philippens, M. E. P., Siero, J. C. W., Fisher, J. A., Petersen, E. T., Luijten, P. R., & Hoogduin, H. (2015). Examining the regional and cerebral depth-dependent BOLD cerebrovascular reactivity response at 7T. NeuroImage, 114, 239–248. https://doi.org/10.1016/j.neuroimage.2015.04.014.
Bhogal, A. A., Siero, J. C., Zwanenburg, J., Luijten, P. R., Philippens, M. E., & Hoogduin, H. (2016). Quantitative T1 mapping under precisely controlled graded hyperoxia at 7T. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 0271678X16656864. doi:https://doi.org/10.1177/0271678X16656864.
Black, A. M., Sergio, L. E., & MacPherson, A. K. (2017). The epidemiology of concussions: Number and nature of concussions and time to recovery among female and male Canadian varsity athletes 2008 to 2011. Clinical Journal of Sport Medicine. https://doi.org/10.1097/JSM.0000000000000308.
Bokkers, R. P. H., Van Der Worp, H. B., Mali, W. P. T. M., & Hendrikse, J. (2009). Noninvasive MR imaging of cerebral perfusion in patients with a carotid artery stenosis. Neurology, 73(11), 869–875. https://doi.org/10.1212/WNL.0b013e3181b7840c.
Borogovac, A., & Asllani, I. (2012). Arterial spin labeling (ASL) fMRI: Advantages, theoretical constrains and experimental challenges in neurosciences. International Journal of Biomedical Imaging, 2012, 1–13. https://doi.org/10.1155/2012/818456.
Boxerman, J. L., Hamberg, L. M., Rosen, B. R., & Weisskoff, R. M. (1995). Mr contrast due to intravascular magnetic susceptibility perturbations. Magnetic Resonance in Medicine, 34(4), 555–566. https://doi.org/10.1002/mrm.1910340412.
Bulte, D. P., Chiarelli, P. A., Wise, R. G., & Jezzard, P. (2007). Cerebral perfusion response to hyperoxia. Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 27(1), 69–75. https://doi.org/10.1038/sj.jcbfm.9600319.
Bulte, D. P., Kelly, M., Germuska, M., Xie, J., Chappell, M. A., Okell, T. W., Bright, M. G., & Jezzard, P. (2012). Quantitative measurement of cerebral physiology using respiratory-calibrated MRI. NeuroImage, 60(1), 582–591. https://doi.org/10.1016/j.neuroimage.2011.12.017.
Champagne, A. A., Bhogal, A. A., Coverdale, N. S., Mark, C. I., & Cook, D. J. (2017). A novel perspective to calibrate temporal delays in cerebrovascular reactivity using hypercapnic and hyperoxic respiratory challenges. NeuroImage, 11(044).
Chappell, M. A. (2014). Arterial spin labelling: Non-invasive measurement of perfusion. http://fsl.fmrib.ox.ac.uk/fslcourse/physics+apps/FSL%7B_%7Darterial%7B_%7Dspin%7B_%7Dlabelling.pdf.
Chappell, M. A., Groves, A. R., Whitcher, B., & Woolrich, M. W. (2009). Variational Bayesian inference for a nonlinear forward model. IEEE Transactions on Signal Processing. https://doi.org/10.1109/TSP.2008.2005752.
Chappell, M. A., Groves, A. R., MacIntosh, B. J., Donahue, M. J., Jezzard, P., & Woolrich, M. W. (2011). Partial volume correction of multiple inversion time arterial spin labeling MRI data. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.22641.
Chen, J. J., & Pike, G. B. (2010). Global cerebral oxidative metabolism during hypercapnia and hypocapnia in humans: Implications for BOLD fMRI. Journal of Cerebral Blood Flow and Metabolism, 30(6), 1094–1099. https://doi.org/10.1038/jcbfm.2010.42.
Chen, G., Adleman, N. E., Saad, Z. S., Leibenluft, E., & Cox, R. W. (2014). Applications of multivariate modeling to neuroimaging group analysis: A comprehensive alternative to univariate general linear model. NeuroImage. https://doi.org/10.1016/j.neuroimage.2014.06.027.
Chiarelli, P. A., Bulte, D. P., Wise, R., Gallichan, D., & Jezzard, P. (2007). A calibration method for quantitative BOLD fMRI based on hyperoxia. NeuroImage, 37(3), 808–820. https://doi.org/10.1016/j.neuroimage.2007.05.033.
Coles, J. P., Fryer, T. D., Smielewski, P., Chatfield, D. A., Steiner, L. A., Johnston, A. J., et al. (2004). Incidence and mechanisms of cerebral ischemia in early clinical head injury. Journal of Cerebral Blood Flow & Metabolism, 24(2), 202–211. https://doi.org/10.1097/01.WCB.0000103022.98348.24.
Cox, R. W. (1996). AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages. Computers and Biomedical Research an International Journal, 29(3), 162–173. https://doi.org/10.1006/cbmr.1996.0014.
Cox, R. W., Chen, G., Glen, D. R., Reynolds, R. C., & Taylor, P. A. (2017). FMRI clustering in AFNI: False-Positive Rates Redux. Brain Connectivity. https://doi.org/10.1089/brain.2016.0475.
Cunningham, A. S., Salvador, R., Coles, J. P., Chatfield, D. A., Bradley, P. G., Johnston, A. J., et al. (2005). Physiological thresholds for irreversible tissue damage in contusional regions following traumatic brain injury. Brain, 128(8), 1931–1942. https://doi.org/10.1093/brain/awh536.
Dai, W., Garcia, D., De Bazelaire, C., & Alsop, D. C. (2008). Continuous flow-driven inversion for arterial spin labeling using pulsed radio frequency and gradient fields. Magnetic Resonance in Medicine, 60(6), 1488–1497. https://doi.org/10.1002/mrm.21790.
Davis, T. L., Kwong, K. K., Weisskoff, R. M., & Rosen, B. R. (1998). Calibrated functional MRI: Mapping the dynamics of oxidative metabolism. Proceedings of the National Academy of Sciences of the United States of America, 95(4), 1834–1839. https://doi.org/10.1073/pnas.95.4.1834.
Diringer, M. N., Aiyagari, V., Zazulia, A. R., Videen, T. O., & Powers, W. J. (2007). Effect of hyperoxia on cerebral metabolic rate for oxygen measured using positron emission tomography in patients with acute severe head injury. Journal of Neurosurgery, 106(4), 526–529. https://doi.org/10.3171/jns.2007.106.4.526.
Donahue, M. J., Strother, M. K., Lindsey, K. P., Hocke, L. M., Tong, Y., & Frederick, D. B. (2016). Time delay processing of hypercapnic fMRI allows quantitative parameterization of cerebrovascular reactivity and blood flow delays. Journal of Cerebral Blood Flow & Metabolism, 36, 1767–1779. https://doi.org/10.1177/0271678X15608643.
Duffin, J., Sobczyk, O., Crawley, A. P., Poublanc, J., Mikulis, D. J., & Fisher, J. A. (2015). The dynamics of cerebrovascular reactivity shown with transfer function analysis. NeuroImage, 114, 207–216. https://doi.org/10.1016/j.neuroimage.2015.04.029.
Ellis, M. J., Ryner, L. N., Sobczyk, O., Fierstra, J., Mikulis, D. J., Fisher, J. A., et al. (2016). Neuroimaging assessment of cerebrovascular reactivity in concussion: Current concepts, methodological considerations, and review of the literature. Frontiers in Neurology, 7(April), 1–16. https://doi.org/10.3389/fneur.2016.00061.
Gauthier, C. J., & Hoge, R. D. (2012). Magnetic resonance imaging of resting OEF and CMRO2 using a generalized calibration model for hypercapnia and hyperoxia. NeuroImage, 60(2), 1212–1225. https://doi.org/10.1016/j.neuroimage.2011.12.056.
Germuska, M., Merola, A., Murphy, K., Babic, A., Richmond, L., Khot, S., et al. (2016). A forward modelling approach for the estimation of oxygen extraction fraction by calibrated fMRI. NeuroImage, 139, 313–323. https://doi.org/10.1016/j.neuroimage.2016.06.004.
Giza, C. C., & Hovda, D. A. (2001). The Neurometabolic Cascade of Concussion, 36(3), 228–235.
Giza, C. C., & Hovda, D. A. (2014). The new neurometabolic cascade of concussion. Neurosurgery, 75, S24–S33. https://doi.org/10.1227/NEU.0000000000000505.
Halani, S., Kwinta, J. B., Golestani, A. M., Khatamian, Y. B., & Chen, J. J. (2015). Comparing cerebrovascular reactivity measured using BOLD and cerebral blood flow MRI: The effect of basal vascular tension on vasodilatory and vasoconstrictive reactivity. NeuroImage, 110, 110–123. https://doi.org/10.1016/j.neuroimage.2015.01.050.
Herscovitch, P., & Raichle, M. E. (1985). What is the correct value for the brain--blood partition coefficient for water? Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 5(1), 65–69. https://doi.org/10.1038/jcbfm.1985.9.
Hoge, R. D. (2012). Calibrated fMRI. NeuroImage. https://doi.org/10.1016/j.neuroimage.2012.02.022.
Hoge, R., Atkinson, J., Gill, B., Crelier, G., & Marrett, S. (1999a). Investigation of BOLD signal dependence on cerebral blood flow and oxygen consumption: The …. Magnetic Resonance in Medicine, 863, 849–863. http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&dopt=AbstractPlus&list_uids=13964895717645828400related:MEGnf6pGzcEJ%5Cnpapers3://publication/uuid/7456B11E-773C-4FAD-B834-BD81FE7C806C.
Hoge, R. D., Atkinson, J., Gill, B., Crelier, G. R., Marrett, S., & Pike, G. B. (1999b). Linear coupling between cerebral blood flow and oxygen consumption in activated human cortex. Proceedings of the National Academy of Sciences of the United States of America, 96(August), 9403–9408.
Horvath, I., Sandor, N. T., Ruttner, Z., & McLaughlin, A. C. (1994). Role of nitric oxide in regulating cerebrocortical oxygen consumption and blood flow during hypercapnia. Journal of Cerebral Blood Flow and Metabolism, 14(3), 503–509. https://doi.org/10.1038/jcbfm.1994.62.
Huisman, T. A. G. M., Schwamm, L. H., Schaefer, P. W., Koroshetz, W. J., Shetty-Alva, N., Ozsunar, Y., et al. (2004). Diffusion tensor imaging as potential biomarker of white matter injury in diffuse axonal injury. AJNR. American Journal of Neuroradiology, 25(3), 370–376.
Humayun, M. S., Presty, S. K., Lafrance, N. D., Holcomb, H. H., Loats, H., Long, D. M., et al. (1989). Local cerebral glucose abnormalities in mild closed head injured patients with cognitive impairments. Nuclear Medicine Communications, 10(5), 335–344. https://doi.org/10.1097/00006231-198905000-00004.
Mark Jenkinson, & Peter Bannister. (2002). Improved methods for the registration and motion correction of brain images, 841, 825–841.
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002). Improved optimization for the robust and accurate linear registration and motion correction of brain images. NeuroImage, 17(2), 825–841. https://doi.org/10.1016/S1053-8119(02)91132-8.
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012). Fsl. NeuroImage, 62(2), 782–790. https://doi.org/10.1016/j.neuroimage.2011.09.015.
Jespersen, S. N., & Østergaard, L. (2012). The roles of cerebral blood flow, capillary transit time heterogeneity, and oxygen tension in brain oxygenation and metabolism. Journal of Cerebral Blood Flow and Metabolism, 32(2), 264–277. https://doi.org/10.1038/jcbfm.2011.153.
Jones, M., Berwick, J., Hewson-Stoate, N., Gias, C., & Mayhew, J. (2005). The effect of hypercapnia on the neural and hemodynamic responses to somatosensory stimulation. NeuroImage, 27(3), 609–623. https://doi.org/10.1016/j.neuroimage.2005.04.036.
Kety, S. S., & Schmidt, C. F. (1948). The effects of altered arterial tensions of carbon dioxide and oxygen on cerebral blood flow and cerebral oxygen consumption of normal young men. The Journal of Clinical Investigation, 27(4), 484–492. https://doi.org/10.1172/jci101995.
Kim, S., & Ogawa, S. (2012). Biophysical and physiological origins of blood oxygenation level-dependent fMRI signals., 32(7), 1188–1206. https://doi.org/10.1038/jcbfm.2012.23.
Lajoie, I., Tancredi, F. B., & Hoge, R. D. (2016). Regional reproducibility of BOLD calibration parameter M, OEF and resting-state CMRO2 measurements with QUO2 MRI. PLoS One. https://doi.org/10.1371/journal.pone.0163071.
Len, T. K., Neary, J. P., Asmundson, G. J. G., Goodman, D. G., Bjornson, B., & Bhambhani, Y. N. (2011). Cerebrovascular reactivity impairment after sport-induced concussion. Medicine and Science in Sports and Exercise, 43(12), 2241–2248. https://doi.org/10.1249/MSS.0b013e3182249539.
Len, T. K., Neary, J. P., Asmundson, G. J. G., Candow, D. G., Goodman, D. G., Bjornson, B., & Bhambhani, Y. N. (2013). Serial monitoring of CO2 reactivity following sport concussion using hypocapnia and hypercapnia. Brain Injury, 27(3), 346–353. https://doi.org/10.3109/02699052.2012.743185.
Lin, C. M., Tseng, Y. C., Hsu, H. L., Chen, C. J., Chen, D. Y. T., Yan, F. X., & Chiu, W. T. (2016). Arterial spin labeling perfusion study in the patients with subacute mild traumatic brain injury. PLoS One. https://doi.org/10.1371/journal.pone.0149109.
Liu, P., Hebrank, A. C., Rodrigue, K. M., Kennedy, K. M., Park, D. C., & Lu, H. (2013). A comparison of physiologic modulators of fMRI signals. Human Brain Mapping, 34(9), 2078–2088. https://doi.org/10.1002/hbm.22053.
Liu, P., De Vis, B. J., & Lu, H. (2018). Cerebrovascular reactivity (CVR) MRI with CO2 challenge: A technical review. NeuroImage, (March), 1–12. https://doi.org/10.1016/j.neuroimage.2018.03.047.
Lu, H., Clingman, C., Golay, X., & Van Zijl, P. C. M. (2004). Determining the longitudinal relaxation time (T1) of blood at 3.0 tesla. Magnetic Resonance in Medicine, 52(3), 679–682. https://doi.org/10.1002/mrm.20178.
Ma, Y., Berman, A. J. L., & Pike, G. B. (2014). The effect of dissolved oxygen on relaxation rates of blood plasma. In Proceedings 22nd Scientific Meeting International Society for Magnetic Resonance in Medicine (p. 3099).
Ma, Y., Berman, A. J. L., & Pike, G. B. (2016). The effect of dissolved oxygen on the relaxation rates of blood plasma: Implications for hyperoxia calibrated BOLD. Magnetic Resonance in Medicine, 76(6), 1905–1911. https://doi.org/10.1002/mrm.26069.
Maugans, T. A., Farley, C., Altaye, M., Leach, J., & Cecil, K. M. (2012). Pediatric sports-related concussion produces cerebral blood flow alterations. PEDIATRICS, 129(1), 28–37. https://doi.org/10.1542/peds.2011-2083.
McCrory, P., Meeuwisse, W. H., Aubry, M., Cantu, R. C., Dvorák, J., Echemendia, R. J., et al. (2013). Consensus statement on concussion in sport-the 4th international conference on concussion in sport held in Zurich, November 2012. PM and R, 5(4), 255–279. https://doi.org/10.1016/j.pmrj.2013.02.012.
Meier, T. B., Bellgowan, P. S. F., Singh, R., Kuplicki, R., Polanski, D. W., & Mayer, A. R. (2015). Recovery of cerebral blood flow following sports-related concussion. JAMA Neurology, 87106(5), 1–9. https://doi.org/10.1001/jamaneurol.2014.4778.
Mutch, W. A. C., Ellis, M. J., Graham, M. R., Wourms, V., Raban, R., Fisher, J. A., et al. (2014). Brain MRI CO2 stress testing: A pilot study in patients with concussion. PLoS One, 9(7). https://doi.org/10.1371/journal.pone.0102181.
Mutch, W. A. C., Ellis, M. J., Ryner, L. N., Graham, R., Dufault, B., Gregson, B., Hall, T., Bunge, M., & Essig, M. (2016). Brain magnetic resonance imaging CO2 stress testing in adolescent post-concussion syndrome: pCASL findings. Journal of Neurosurgery. https://doi.org/10.3171/2015.6.JNS15972.
Mutch, W. A. C., Ellis, M. J., Ryner, L. N., McDonald, P. J., Morissette, M. P., Pries, P., et al. (2018). Patient-specic alterations in cO2 cerebrovascular responsiveness in acute and sub-acute sports-related concussion. Frontiers in Neurology, 9(23).
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990). Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proceedings of the National Academy of Sciences of the United States of America, 87(24), 9868–9872. https://doi.org/10.1073/pnas.87.24.9868.
Petcharunpaisan, S., Ramalho, J., & Castillo, M. (2010). Arterial spin labeling in neuroimaging. World Journal of Radiology, 2(10), 384–398. https://doi.org/10.4329/wjr.v2.i10.384.
Poublanc, J., Crawley, A. P., Sobczyk, O., Montandon, G., Sam, K., Mandell, D. M., et al. (2015). Measuring cerebrovascular reactivity: The dynamic response to a step hypercapnic stimulus. Journal of Cerebral Blood Flow & Metabolism, (April), 1, 11. https://doi.org/10.1038/jcbfm.2015.114.
Raji, C. A., & Henderson, T. A. (2018). PET and single-photon emission computed tomography in brain concussion. Neuroimaging Clinics of North America. https://doi.org/10.1016/j.nic.2017.09.003.
Road, W. P., & May, R. (1996). AFNI : Software for analysis and visualization of functional magnetic resonance neuroimages., 173(29), 162–173.
Ruff, R. M., Crouch, J. A., Troster, A. I., Marshall, L. F., Buchsbaum, M. S., Lottenberg, S., & Somers, L. M. (1994). Selected cases of poor outcome following a minor brain trauma: Comparing neuropsychological and positron emission tomography assessment. Brain Injury, 8(4), 297–308 http://www.ncbi.nlm.nih.gov/pubmed/8081345.
Severinghaus, J. W. (1979). Simple, accurate equations for human blood O2 dissociation computations. Journal of Applied Physiology: Respiratory, Environmental and Exercise Physiology, 46(3), 599–602.
Sicard, K. M., & Duong, T. Q. (2005). Effects of hypoxia, hyperoxia, and hypercapnia on baseline and stimulus-evoked BOLD, CBF, and CMRO2in spontaneously breathing animals. NeuroImage, 25(3), 850–858. https://doi.org/10.1016/j.neuroimage.2004.12.010.
Siesjö, B. K. (1984). Cerebral circulation and metabolism. Journal of Neurosurgery, 60(5), 883–908. https://doi.org/10.3171/jns.1984.60.5.0883.
Simpson, I., Carruthers, A., & Vannucci, S. J. (2007). Supply and demand in cerebral energy metabolism :The role of nutrient transporters. Journal of Cerebral Blood Flow and Metabolism, 27(11), 1766–1791. https://doi.org/10.1038/sj.jcbfm.9600521.
Smith, S. M., & Brady, J. M. (1997). SUSAN—A new approach to low level image processing. International Journal of Computer Vision, 23(1), 45–78. https://doi.org/10.1023/A:1007963824710.
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-berg, H., et al. (2004). Advances in functional and structural MR image analysis and implementation as FSL technical report TR04SS2. Neuroimage, 23(S1), 208–219.
Sobczyk, O., Battisti-Charbonney, A., Fierstra, J., Mandell, D. M., Poublanc, J., Crawley, A. P., Mikulis, D. J., Duffin, J., & Fisher, J. A. (2014). A conceptual model for CO2-induced redistribution of cerebral blood flow with experimental confirmation using BOLD MRI. NeuroImage, 92, 56–68. https://doi.org/10.1016/j.neuroimage.2014.01.051.
Tower, P. (2016). Arterial spin label perfusion of the brain: emerging clinical applications, 281(2).
Tukey, J. W. (1977). Exploratory data analysis. Analysis, 2. https://doi.org/10.1007/978-1-4419-7976-6.
Umile, E. M., Plotkin, R. C., & Sandel, M. E. (1998). Functional assessment of mild traumatic brain injury using SPECT and neuropsychological testing. Brain Injury, 12(7), 577–594 http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=med4&NEWS=N&AN=9653521.
Vespa, P., Bergsneider, M., Hattori, N., Wu, H. M., Huang, S. C., Martin, N. A., et al. (2005). Metabolic crisis without brain ischemia is common after traumatic brain injury: A combined microdialysis and positron emission tomography study. Journal of Cerebral Blood Flow and Metabolism, 25(6), 763–774. https://doi.org/10.1038/sj.jcbfm.9600073.
Wang, J., Alsop, D. C., Song, H. K., Maldjian, J. A., Tang, K., Salvucci, A. E., & Detre, J. A. (2003). Arterial transit time imaging with flow encoding arterial spin tagging (FEAST). Magnetic Resonance in Medicine, 50(3), 599–607. https://doi.org/10.1002/mrm.10559.
Wang, Y., Nelson, L. D., LaRoche, A. A., Pfaller, A. Y., Nencka, A. S., Koch, K. M., & McCrea, M. A. (2016). Cerebral blood flow alterations in acute sport-related concussion. Journal of Neurotrauma, 33(13), 1227–1236. https://doi.org/10.1089/neu.2015.4072.
Wang, Y., Nencka, A. S., Meier, T. B., Guskiewicz, K., Mihalik, J. P., Brooks, M. A., et al. (2018). Cerebral blood flow in acute concussion : Preliminary ASL findings from the NCAA-DoD CARE consortium. https://doi.org/10.1007/s11682-018-9946-5.
Willie, C. K., Macleod, D. B., Shaw, A. D., Smith, K. J., Tzeng, Y. C., Eves, N. D., et al. (2012). Regional brain blood flow in man during acute changes in arterial blood gases. The Journal of Physiology, 590(14), 3261–3275. https://doi.org/10.1113/jphysiol.2012.228551.
Willie, C. K., Tzeng, Y. C., Fisher, J. A., & Ainslie, P. N. (2014). Integrative regulation of human brain blood flow. The Journal of Physiology, 592(Pt 5), 841–859. https://doi.org/10.1113/jphysiol.2013.268953.
Woolrich, M. W., Chiarelli, P., Gallichan, D., Perthen, J., & Liu, T. T. (2006). Bayesian inference of hemodynamic changes in functional arterial spin labeling data. Magnetic Resonance in Medicine, 56(4), 891–906. https://doi.org/10.1002/mrm.21039.
World Medical Association, & W. M. (2001). World medical association declaration of Helsinki. Ethical principles for medical research involving human subjects. Bulletin of the World Health Organization, 79(4), 373–374.
Wu, H.-M. C., Huang, S.-C., Hattori, N., Glenn, T. C., Vespa, P. M., Yu, C.-L., et al. (2004). Selective metabolic reduction in gray matter acutely following human traumatic brain injury. Journal of Neurotrauma, 21(2), 149–161. https://doi.org/10.1089/089771504322778613.
Wu, W., Buxton, R. B., & Wong, E. C. (2007). Vascular space occupancy weighted imaging with control of residual blood signal and higher contrast-to-noise ratio. IEEE Transactions on Medical Imaging, 26(10), 1319–1327. https://doi.org/10.1109/TMI.2007.898554.
Xu, F., Uh, J., Brier, M. R., Hart Jr., J., Yezhuvath, U. S., Gu, H., et al. (2010). The influence of carbon dioxide on brain activity and metabolism in conscious humans. Journal of Cerebral Blood Flow and Metabolism, 31, 58–67. https://doi.org/10.1038/jcbfm.2010.153.
Yang, S.-P., & Krasney, J. A. (1995). Cerebral blood flow and metabolic responses to sustained Hypercapnia in awake sheep. Journal of Cerebral Blood Flow & Metabolism, 15(1), 115–123. https://doi.org/10.1038/jcbfm.1995.13.
Yezhuvath, U. S., Lewis-Amezcua, K., Varghese, R., Xiao, G., & Lu, H. (2009). On the assessment of cerebrovascular reactivity using hypercapnia BOLD MRI. NMR in Biomedicine, 22(7), 779–786. https://doi.org/10.1002/nbm.1392.
Yoshino, A., Hovda, D. A., Kawamata, T., Katayama, Y., & Becker, D. P. (1991). Dynamic changes in local cerebral glucose utilization following cerebral concussion in rats: Evidence of a hyper- and subsequent hypometabolic state. Brain Research, 561(1), 106–119. https://doi.org/10.1016/0006-8993(91)90755-K.
Zhang, Y., Brady, M., & Smith, S. (2001). Segmentation of brain MR images through a Hidden Markov random field model and the expectation-maximization algorithm, 20(1), 45–57 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.200.3832&rep=rep1&type=pdf.
Zhang, X., Petersen, E. T., Ghariq, E., De Vis, J. B., Webb, A. G., Teeuwisse, W. M., et al. (2013). In vivo blood T1 measurements at 1.5 T, 3 T, and 7 T. Magnetic Resonance in Medicine, 70(4), 1082–1086. https://doi.org/10.1002/mrm.24550.
Acknowledgements
The authors of this paper would like to thank Mr. Don Brien and Mrs. Janet Mirtle-Stroman for their dedication and willingness to help with data collection. The authors would also like to thank Dr. J. J. Wang at UCLA for sharing the pCASL sequence used in this study, and Dr. Michael Germuska at Cardiff University for his insight and feedback regarding the methodology used in this manuscript.
Funding
This work was supported by the Canadian Institutes of Health Research (CIHR) and the Natural Sciences and Engineering Research Council (NSERC) through a Collaborative Health Research Project Grant (#315705).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
AC, NC, JFR, CM, DJC declare that they have no conflict of interest.
Ethical approval
All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, and the applicable revisions at the time of the investigation.
Informed consent
Informed consent was obtained from all patients for being included in the study.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Champagne, A.A., Coverdale, N.S., Fernandez-Ruiz, J. et al. Compromised resting cerebral metabolism after sport-related concussion: A calibrated MRI study. Brain Imaging and Behavior 15, 133–146 (2021). https://doi.org/10.1007/s11682-019-00240-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11682-019-00240-2