Open Access
| Issue |
Med Sci (Paris)
Volume 42, Number 6-7, Juin-Juillet 2026
|
|
|---|---|---|
| Page(s) | 569 - 578 | |
| Section | M/S Revues | |
| DOI | https://doi.org/10.1051/medsci/2026092 | |
| Published online | 17 juillet 2026 | |
- Andriessen TMJC, Jacobs B, Vos PE. Clinical characteristics and pathophysiological mechanisms of focal and diffuse traumatic brain injury. J Cell Mol Med 2010 ; 14 : 2381–92. [Google Scholar]
- Catroppa CAVBMH; YKO. New Frontiers in Pediatric Traumatic Brain Injury: An Evidence Base for Clinical Practice. Routledge. 2016 : 193 p. [Google Scholar]
- Giza CC, Hovda DA. The neurometabolic cascade of concussion. J Athl Train 2001 ; 36 : 228–35. [Google Scholar]
- Beauchamp MH, Dégeilh F, Rose SC. Improving outcome after paediatric concussion: challenges and possibilities. Lancet Child Adolesc Health 2023 ; 7 : 728–40. [Google Scholar]
- McKinlay A, Grace RC, Horwood LJ, et al. Prevalence of traumatic brain injury among children, adolescents and young adults: Prospective evidence from a birth cohort. Brain Inj 2008 ; 22 : 175–81. [Google Scholar]
- Zemek R, Barrowman N, Freedman SB, et al. Clinical risk score for persistent postconcussion symptoms among children with acute concussion in the ED. JAMA 2016 ; 315 : 1014. [Google Scholar]
- Zemek RL, Farion KJ, Sampson M, et al. Prognosticators of persistent symptoms following pediatric concussion. JAMA Pediatr 2013 ; 167 : 259. [Google Scholar]
- Anderson V, Brown S, Newitt H, et al. Long-term outcome from childhood traumatic brain injury: Intellectual ability, personality, and quality of life. Neuropsychology 2011 ; 25 : 176–84. [Google Scholar]
- Reeves T, Phillips L, Povlishock J. Myelinated and unmyelinated axons of the corpus callosum differ in vulnerability and functional recovery following traumatic brain injury. Exp Neurol 2005 ; 196 : 126–37. [Google Scholar]
- Gogtay N, Giedd JN, Lusk L, et al. Dynamic mapping of human cortical development during childhood through early adulthood. Proc Nat Acad Sci USA 2004 ; 101 : 8174–9. [Google Scholar]
- Mayer AR, Hanlon FM, Ling JM. Gray matter abnormalities in pediatric mild traumatic brain injury. J Neurotrauma 2015 ; 32 : 723–30. [Google Scholar]
- Lingsma HF, Roozenbeek B, Steyerberg EW, et al. Early prognosis in traumatic brain injury: from prophecies to predictions. Lancet Neurol 2010 ; 9 : 543–54. [Google Scholar]
- Keightley ML, Sinopoli KJ, Davis KD, et al. Is there evidence for neurodegenerative change following traumatic brain injury in children and youth? A scoping review. Front Hum Neurosci 2014 ; 8 : 139. [Google Scholar]
- Mayer AR, Kaushal M, Dodd AB, et al. Advanced biomarkers of pediatric mild traumatic brain injury: Progress and perils. Neurosci Biobehav Rev 2018 ; 94 : 149–65. [Google Scholar]
- Beauchamp MH, Ditchfield M, Babl FE, et al. Detecting traumatic brain lesions in children: CT versus MRI versus susceptibility weighted imaging (SWI). J Neurotrauma 2011 ; 28 : 915–27. [Google Scholar]
- Coatrieux J-L, Velut J, Dillenseger J-L, et al. De l’imagerie médicale à la thérapie guidée par l’image. Med Sci (Paris) 2010 ; 26 : 1103–9. [Google Scholar]
- Wintermark M, Sanelli PC, Anzai Y, et al. Imaging evidence and recommendations for traumatic brain injury: conventional neuroimaging techniques. J Am Coll Radiol 2015 ; 12 : e1–14. [Google Scholar]
- Dégeilh F, Lacombe-Barrios J, Tuerk C, et al. Behavioral-play familiarization for non-sedated magnetic resonance imaging in young children with mild traumatic brain injury. Pediatr Radiol 2023 ; 53 : 1153–62. [Google Scholar]
- Kates R, Atkinson D, Brant-Zawadzki M. Fluid-attenuated inversion recovery (FLAIR): clinical prospectus of current and future applications. Top Magn Reson Imaging 1996 ; 8 : 389–96. [Google Scholar]
- Bigler ED, Abildskov TJ, Goodrich-Hunsaker NJ, et al. Structural neuroimaging findings in mild traumatic brain injury. Sports Med Arthrosc Rev 2016 ; 24 : e42–52. [Google Scholar]
- Mayer AR, Meier TB, Dodd AB, et al. Prospective study of gray matter atrophy following pediatric mild traumatic brain injury. Neurology 2023 ; 100 : e516–27. [Google Scholar]
- Ware AL, Goodrich-Hunsaker NJ, Lebel C, et al. Post-acute cortical thickness in children with mild traumatic brain injury versus orthopedic injury. J Neurotrauma 2020 ; 37 : 1892–901. [Google Scholar]
- Ware AL, Lebel C, Onicas A, et al. Longitudinal gray matter trajectories in pediatric mild traumatic brain injury. Neurology 2023 ; 101 : e728–39. [Google Scholar]
- Beauchamp MH, Ditchfield M, Maller JJ, et al. Hippocampus, amygdala and global brain changes 10 years after childhood traumatic brain injury. Int J Dev Neurosci 2011 ; 29 : 137–43. [Google Scholar]
- Jean-Philippe Dillenseger, Elisabeth Moerschel, Claudine Zorn. Guide des technologies de l’imagerie médicale et de la radiothérapie : Quand la théorie éclaire la pratique. Elsevier Masson. 2024 : 496 p. [Google Scholar]
- Kremer S, Oppenheim C, Schmitt E, et al. Imagerie de diffusion : principes et applications cliniques. J Radiol 2007 ; 88 : 428–43. [Google Scholar]
- Oppenheim C, Ducreux D, Rodrigo S, et al. Imagerie en tenseur de diffusion et tractographie de l’encéphale et de la moelle. J Radiol 2007 ; 88 : 510–20. [Google Scholar]
- Alexander AL, Lee JE, Lazar M, et al. Diffusion tensor imaging of the brain. Neurotherapeutics 2007 ; 4 : 316–29. [Google Scholar]
- Ware AL, Yeates KO, Tang K, et al. Longitudinal white matter microstructural changes in pediatric mild traumatic brain injury: An <scp>A-CAP</scp> study. Hum Brain Mapp 2022 ; 43 : 3809–23. [Google Scholar]
- Virji-Babul N, Borich MR, Makan N, et al. Diffusion tensor imaging of sports-related concussion in adolescents. Pediatr Neurol 2013 ; 48 : 24–9. [Google Scholar]
- Chu Z, Wilde EA, Hunter JV, et al. Voxel-based analysis of diffusion tensor imaging in mild traumatic brain injury in adolescents. Am J Neuroradiol 2010 ; 31 : 340–6. [Google Scholar]
- Babcock L, Yuan W, Leach J, et al. White matter alterations in youth with acute mild traumatic brain injury. J Pediatr Rehabil Med 2015 ; 8 : 285–96. [Google Scholar]
- Wilde EA, McCauley SR, Hunter JV, et al. Diffusion tensor imaging of acute mild traumatic brain injury in adolescents. Neurology 2008 ; 70 : 948–55. [Google Scholar]
- Dennis EL, Babikian T, Giza CC, et al. Diffusion MRI in pediatric brain injury. Child’s Nervous System 2017 ; 33 : 1683–92. [Google Scholar]
- Beek L Van, Ghesquière P, Lagae L, et al. mathematical difficulties and white matter abnormalities in subacute pediatric mild traumatic brain injury. J Neurotrauma 2015 ; 32 : 1567–78. [Google Scholar]
- Haacke EM, Xu Y, Cheng YN, et al. Susceptibility weighted imaging (SWI). Magn Reson Med 2004 ; 52 : 612–8. [Google Scholar]
- Smith LGF, Milliron E, Ho M-L, et al. Advanced neuroimaging in traumatic brain injury: an overview. Neurosurg Focus 2019 ; 47 : E17. [Google Scholar]
- Virani S, Barton A, Goodyear BG, et al. Susceptibility-Weighted magnetic resonance imaging (MRI) of microbleeds in pediatric concussion. J Child Neurol 2021 ; 36 : 867–74. [Google Scholar]
- Wang Y, Liu T. Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker. Magn Reson Med 2015 ; 73 : 82–101. [Google Scholar]
- Koch KM, Nencka AS, Swearingen B, et al. Acute post-concussive assessments of brain tissue magnetism using magnetic resonance imaging. J Neurotrauma 2021 ; 38 : 848–57. [Google Scholar]
- Yeates KO, Beauchamp M, Craig W, et al. Advancing concussion assessment in pediatrics (A-CAP): a prospective, concurrent cohort, longitudinal study of mild traumatic brain injury in children: study protocol. BMJ Open 2017 ; 7 : e017012. [Google Scholar]
- Sader N, Gobbi D, Goodyear B, et al. Can quantitative susceptibility mapping help diagnose and predict recovery of concussion in children? An A-CAP study. J Neurol Neurosurg Psychiatry 2023 ; 94 : 227–35. [Google Scholar]
- Biswal B, Zerrin Yetkin F, Haughton VM, et al. Functional connectivity in the motor cortex of resting human brain using echo-planar mri. Magn Reson Med 1995 ; 34 : 537–41. [Google Scholar]
- Horn HJ van der, Ling JM, Wick T V., et al. Dynamic functional connectivity in pediatric mild traumatic brain injury. Neuroimage 2024 ; 285 : 120470. [Google Scholar]
- Iyer KK, Barlow KM, Brooks B, et al. Relating brain connectivity with persistent symptoms in pediatric concussion. Ann Clin Transl Neurol 2019 ; 6 : 954–61. [Google Scholar]
- Bonnelle V, Ham TE, Leech R, et al. Salience network integrity predicts default mode network function after traumatic brain injury. Proc Nat Acad Sci USA 2012 ; 109 : 4690–5. [Google Scholar]
- Healey K, Fang Z, Smith A, et al. Adolescents with a concussion have altered brain network functional connectivity one month following injury when compared to adolescents with orthopedic injuries. Neuroimage Clin 2022 ; 36 : 103211. [Google Scholar]
- Lemme J, Holmes S, Sibai D, et al. Altered brain network connectivity underlies persistent post-traumatic headache following mild traumatic brain injury in youth. J Neurotrauma 2021 ; 38 : 1662–9. [Google Scholar]
- Ofoghi Z, Rohr CS, Dewey D, et al. Functional connectivity of the anterior cingulate cortex with pain-related regions in children with post-traumatic headache. Cephalalgia Rep 2021 ; 4. [Google Scholar]
- Hammeke TA, McCrea M, Coats SM, et al. Acute and subacute changes in neural activation during the recovery from sport-related concussion. J Int Neuropsychol Soc 2013 ; 19 : 863–72. [Google Scholar]
- Keightley ML, Singh Saluja R, Chen J-K, et al. A Functional magnetic resonance imaging study of working memory in youth after sports-related concussion: is it still working? J. Neurotrauma 2014 ; 31 : 437–51. [Google Scholar]
- Krivitzky LS, Roebuck-Spencer TM, Roth RM, et al. Functional magnetic resonance imaging of working memory and response inhibition in children with mild traumatic brain injury. J IntNeuropsychol Soc 2011 ; 17 : 1143–52. [Google Scholar]
- Tamnes CK, Østby Y. Morphometry and development: changes in brain structure from birth to adult age running head: morphometry and development. Neuromethods 2018 ; 136 : 143–64. [Google Scholar]
- Beaudeux J-L. La protéine S100B, premier marqueur pour le diagnostic biologique du traumatisme crânien léger. Bull Acad Natl Med 2024 ; 208 : 832–42. [Google Scholar]
- Mondello S, Kobeissy F, Vestri A, et al. Serum Concentrations of ubiquitin C-terminal hydrolase-l1 and glial fibrillary acidic protein after pediatric traumatic brain injury. Sci Rep 2016 ; 6 : 28203. [Google Scholar]
- Fesharaki-Zadeh A, Datta D. An overview of preclinical models of traumatic brain injury (TBI): relevance to pathophysiological mechanisms. Front Cell Neurosci 2024 ; 18 : 1371213. [Google Scholar]
- Rhine T, Babcock L, Zhang N, et al. Are UCH-L1 and GFAP promising biomarkers for children with mild traumatic brain injury? Brain Inj 2016 ; 30 : 1231–8. [Google Scholar]
- Ryan E, Kelly L, Stacey C, et al. Traumatic brain injury in children. Pediatr Emerg Care 2022 ; 38 : e1139–e42. [Google Scholar]
- Maas AIR, Menon DK, Manley GT, et al. Traumatic brain injury: progress and challenges in prevention, clinical care, and research. Lancet Neurol 2022 ; 21 : 1004–60. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
