Biomarker; Electroencephalography; Electrophysiology; Magnetic resonance imaging; Neuroimaging; Surgery; Orthopedics and Sports Medicine; Rehabilitation
Abstract :
[en] The emergence of neuroimaging tools (structural and functional magnetic resonance imaging and spectroscopy, positron emission tomography) and neurophysiology tools such as resting-state quantitative electroencephalography or the study of evoked potentials, is expanding rapidly, making it possible to accurately measure both neuronal integrity and brain activity. A recent meta-analysis carried out by the working group on emerging technologies of the Concussion in Sport Group, presented at the Amsterdam Consensus Conference 2022, highlighted that these techniques can be of great use in research, both for the diagnosis and prognosis of concussion. Indeed, the use of advanced neuroimaging or electrophysiology techniques shows promising sensitivity for assessing acute neurobiological effects, which could help in diagnosis. In addition, it is possible to document neurophysiological changes during recovery from concussion, which could be useful for prognosis. However, further research is needed to validate their use in clinical practice. Although their sensitivity in detecting concussion or predicting a poor prognosis for recovery (persistent post-concussive symptoms) is promising, their specificity remains low. In addition, there is still insufficient longitudinal data to correlate the neurobiological changes observed using these techniques with the clinical recovery indices (or alterations) following concussion.
Disciplines :
Neurology
Author, co-author :
Thibaut, Aurore ; Université de Liège - ULiège > GIGA > GIGA Neurosciences - Coma Science Group
De Beaumont, L.; Centre de recherche, hôpital du Sacré-Cœur de Montréal, Montréal, Canada ; Department of Surgery, Faculty of Medicine, Université de Montreal, Montréal, Canada
Tabor, J.B., Brett, B.L., Nelson, L., Meier, T., Penner, L.C., Mayer, A.R., et al. Role of biomarkers and emerging technologies in defining and assessing neurobiological recovery after sport-related concussion: a systematic review. Br J Sports Med 57 (2023), 789–797, 10.1136/BJSPORTS-2022-106680.
Helmer, K.G., Pasternak, O., Fredman, E., Preciado, R.I., Koerte, I.K., Sasaki, T., et al. Hockey concussion education project, part 1. Susceptibility-weighted imaging study in male and female ice hockey players over a single season. J Neurosurg 120 (2014), 864–872, 10.3171/2013.12.JNS132093.
Churchill, N.W., Caverzasi, E., Graham, S.J., Hutchison, M.G., Schweizer, T.A., White matter during concussion recovery: comparing diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI). Hum Brain Mapp 40 (2019), 1908–1918, 10.1002/HBM.24500.
Manning, K.Y., Llera, A., Dekaban, G.A., Bartha, R., Barreira, C., Brown, A., et al. Linked MRI signatures of the brain's acute and persistent response to concussion in female varsity rugby players. Neuroimage Clin, 21, 2019, 101627, 10.1016/J.NICL.2018.101627.
Morelli, N., Johnson, N.F., Kaiser, K., Andreatta, R.D., Heebner, N.R., Hoch, M.C., Resting state functional connectivity responses post-mild traumatic brain injury: a systematic review. Brain Inj 35 (2021), 1326–1337, 10.1080/02699052.2021.1972339.
Van Der Horn, H.J., Scheenen, M.E., De Koning, M.E., Liemburg, E.J., Spikman, J.M., Van Der Naalt, J., The default mode network as a biomarker of persistent complaints after mild traumatic brain injury: a longitudinal functional magnetic resonance imaging study. J Neurotrauma 34 (2017), 3262–3269, 10.1089/NEU.2017.5185.
van der Horn, H.J., Liemburg, E.J., Scheenen, M.E., de Koning, M.E., Spikman, J.M., van der Naalt, J., Post-concussive complaints after mild traumatic brain injury associated with altered brain networks during working memory performance. Brain Imaging Behav 10:4 (2016), 1243–1253, 10.1007/s11682-015-9489-y.
Joyce, J.M., La, P.L., Walker, R., Harris, A.D., Magnetic resonance spectroscopy of traumatic brain injury and subconcussive hits: a systematic review and meta-analysis. J Neurotrauma 39 (2022), 1455–1476, 10.1089/NEU.2022.0125.
Kamins, J., Bigler, E., Covassin, T., Henry, L., Kemp, S., Leddy, J.J., et al. What is the physiological time to recovery after concussion? A systematic review. Br J Sports Med 51 (2017), 935–940, 10.1136/BJSPORTS-2016-097464.
Amico, F., Koberda, J.L., Quantitative electroencephalography objectivity and reliability in the diagnosis and management of traumatic brain injury: a systematic review. Clin EEG Neurosci, 2023, 10.1177/15500594231202265 p. 15500594231202265.
Lavoie, M.E., Dupuis, F., Johnston, K.M., Leclerc, S., Lassonde, M., Visual p300 effects beyond symptoms in concussed college athletes. J Clin Exp Neuropsychol 26 (2004), 55–73, 10.1076/JCEN.26.1.55.23936.
Baillargeon, A., Lassonde, M., Leclerc, S., Ellemberg, D., Neuropsychological and neurophysiological assessment of sport concussion in children, adolescents and adults. Brain Inj 26 (2012), 211–220, 10.3109/02699052.2012.654590.
Clayton, G., Davis, N., Holliday, A., Joffe, D., Oakley, D.S., Palermo, F.X., et al. In-clinic event related potentials after sports concussion: a 4-year study. J Pediatr Rehabil Med 13 (2020), 81–92, 10.3233/PRM-190620.
Sicard, V., Harrison, A.T., Moore, R.D., Psycho-affective health, cognition, and neurophysiological functioning following sports-related concussion in symptomatic and asymptomatic athletes, and control athletes. Sci Rep, 11, 2021, 13838, 10.1038/S41598-021-93218-4.
