Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 48

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Longitudinal Neuroimaging in Pediatric Traumatic Brain Injury: Current State and Consideration of Factors That Influence Recovery

Lindsey, Hannah M., Wilde, Elisabeth A., Caeyenberghs, Karen, Dennis, Emily L.·2019·Frontiers in Neurology
DOI 10.3389/fneur.2019.01296
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fneur.2019.01296

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 18 references

Research works printed but not linked: 160

  1. 2018, Report to Congress: The Management of Traumatic Brain Injury in Children
  2. Taylor, 2017, Traumatic brain injury–related emergency department visits, hospitalizations, and deaths — United States, 2007 and 2013, MMWR Surveill Summar., 66, 1, 10.15585/mmwr.ss6609a1 · DOI · Paper page
  3. Daneshvar, 2011, Long-term consequences: effects on normal development profile after concussion, Phys Med Rehabil Clin N Am., 22, 683, 10.1016/j.pmr.2011.08.009 · DOI · Paper page
  4. Giza, 2006, Is being plastic fantastic? Mechanisms of altered plasticity after developmental traumatic brain injury, Dev Neurosci., 28, 364, 10.1159/000094163 · DOI
  5. Königs, 2017, The structural connectome of children with traumatic brain injury, Hum Brain Mapp., 38, 3603, 10.1002/hbm.23614 · DOI
  6. Sowell, 2004, Longitudinal mapping of cortical thickness and brain growth in normal children, J Neurosci., 24, 8223, 10.1523/JNEUROSCI.1798-04.2004 · DOI · Paper page
  7. Bigler, 2007, Anterior and middle cranial fossa in traumatic brain injury: relevant neuroanatomy and neuropathology in the study of neuropsychological outcome, Neuropsychology., 21, 515, 10.1037/0894-4105.21.5.515 · DOI · Paper page
  8. Ganesalingam, 2011, Executive functions and social competence in young children 6 months following traumatic brain injury, Neuropsychology., 25, 466, 10.1037/a0022768 · DOI
  9. Lipszyc, 2014, Frontal white matter damage impairs response inhibition in children following traumatic brain injury, Arch Clin Neuropsychol., 29, 289, 10.1093/arclin/acu004 · DOI · Paper page
  10. Lindsey, 2019, Acute pediatric traumatic brain injury severity predicts long-term verbal memory performance through suppression by white matter integrity on diffusion tensor imaging, Brain Imaging Behav., 10.1007/s11682-019-00093-9 · DOI
  11. Spitz, 2017, Disrupted white matter microstructure and mood disorders after traumatic brain injury, J Neurotrauma., 34, 807, 10.1089/neu.2016.4527 · DOI
  12. Ryan, 2019, Unraveling the association between pediatric traumatic brain injury and social dysfunction: the mediating role of self-regulation, J Neurotrauma., 36, 2895, 10.1089/neu.2018.6308 · DOI · Paper page
  13. Degeilh, 2018, Developmental trajectories of adaptive functioning following early mild traumatic brain injury, Dev Psychobiol., 60, 1037, 10.1002/dev.21786 · DOI
  14. Anderson, 2011, Do children really recover better? Neurobehavioural plasticity after early brain insult, Brain., 134, 2197, 10.1093/brain/awr103 · DOI · Paper page
  15. Ashwal, 2014, Application of advanced neuroimaging modalities in pediatric traumatic brain injury, J Child Neurol., 29, 1704, 10.1177/0883073814538504 · DOI
  16. Bigler, 2013, Traumatic brain injury, neuroimaging, and neurodegeneration, Front Hum Neurosci., 7, 395, 10.3389/fnhum.2013.00395 · DOI
  17. Blackman, 2003, Brain imaging as a predictor of early functional outcome following traumatic brain injury in children, adolescents, and young adults, J Head Trauma Rehabil., 18, 493, 10.1097/00001199-200311000-00003 · DOI
  18. Roberts, 2014, Diffusion tensor imaging (DTI) findings following pediatric non-penetrating TBI: a meta-analysis, Dev Neuropsychol., 39, 600, 10.1080/87565641.2014.973958 · DOI
  19. Ashwal, 2006, Use of advanced neuroimaging techniques in the evaluation of pediatric traumatic brain injury, Dev Neurosci., 28, 309, 10.1159/000094157 · DOI
  20. Niogi, 2010, Diffusion tensor imaging of mild traumatic brain injury, J Head Trauma Rehabil., 25, 241, 10.1097/htr.0b013e3181e52c2a · DOI · Paper page
  21. Catroppa, 2012, Functional recovery ten years after pediatric traumatic brain injury: outcomes and predictors, J Neurotrauma., 29, 2539, 10.1089/neu.2012.2403 · DOI
  22. Ryan, 2019, Young adults' perspectives on health-related quality of life after paediatric traumatic brain injury: a prospective cohort study, Ann Phys Rehabil Med., 62, 342, 10.1016/j.rehab.2019.06.014 · DOI · Paper page
  23. Dennis, 2018, Neuroimaging of the injured pediatric brain: methods and new lessons, Neuroscientist., 24, 652, 10.1177/1073858418759489 · DOI
  24. King, 2019, A systematic review of cross-sectional differences and longitudinal changes to the morphometry of the brain following paediatric traumatic brain injury, Neuroimage Clin., 23, 101844, 10.1016/j.nicl.2019.101844 · DOI
  25. Dennis, 2017, Diffusion MRI in pediatric brain injury, Childs Nerv Syst., 33, 1683, 10.1007/s00381-017-3522-y · DOI
  26. Giza, 2007, Pediatric traumatic brain injury: not just little adults, Curr Opin Crit Care., 32, 143, 10.1097/MCC.0b013e32808255dc · DOI
  27. Keenan, 2006, Epidemiology and outcomes of pediatric traumatic brain injury, Dev Neurosci., 28, 256, 10.1159/000094152 · DOI · Paper page
  28. Reitan, 1986, Traumatic Brain Injury: Pathophysiology and Neuropsychological Evaluation.
  29. Anderson, 2005, Functional plasticity or vulnerability after early brain injury?, Pediatrics., 116, 1374, 10.1542/peds.2004-1728 · DOI · Paper page
  30. Chapman, 2000, Discussion of developmental plasticity, J Commun Disord., 33, 333, 10.1016/s0021-9924(00)00029-0 · DOI
  31. Howarth, 2016, Acute and long-term outcomes following pediatric traumatic brain injury, J Pediatr Neuroradiol., 5, 26, 10.1055/s-0036-1584285t · doi:10.1055/s-0036-1584285t
  32. Wilde, 2012, Pediatric traumatic brain injury: neuroimaging and neurorehabilitation outcome, NeuroRehabilitation., 31, 245, 10.3233/nre-2012-0794 · doi:10.3233/nre-2012-0794
  33. Chaudhury, 2016, Activity-dependent synaptic plasticity modulates the critical phase of brain development, Brain Dev., 38, 355, 10.1016/j.braindev.2015.10.008 · DOI
  34. Kadis, 2007, Intrahemispheric reorganization of language in children with medically intractable epilepsy of the left hemisphere, J Int Neuropsychol Soc., 13, 94, 10.1017/s1355617707070397 · DOI
  35. Johnston, 2009, Plasticity in the developing brain: implications for rehabilitation, Dev Disabil Res Rev., 15, 94, 10.1002/ddrr.64 · DOI · Paper page
  36. Johnston, 2009, Plasticity and injury in the developing brain, Brain Dev., 31, 1, 10.1016/j.braindev.2008.03.014 · DOI
  37. Kennard, 1938, Reorganization of motor function in the cerebral cortex of monkeys deprived of motor and premotor areas in infancy, J Neurophysiol., 1, 477, 10.1152/jn.1938.1.6.477 · DOI
  38. Taylor, 1997, Age-related differences in outcomes following childhood brain insults: an introduction and overview, J Int Neuropsychol Soc., 3, 555, 10.1017/S1355617797005559 · DOI · Paper page
  39. Verger, 2000, Age effects on long-term neuropsychological outcome in paediatric traumatic brain injury, Brain Inj., 14, 495, 10.1080/026990500120411 · DOI
  40. Anderson, 2009, Childhood brain insult: can age at insult help us predict outcome?, Brain., 132, 45, 10.1093/brain/awn293 · DOI · Paper page
  41. Krasny-Pacini, 2017, Executive function after severe childhood traumatic brain injury – Age-at-injury vulnerability periods: the TGE prospective longitudinal study, Ann Phys Rehabil Med., 60, 74, 10.1016/j.rehab.2016.06.001 · DOI
  42. Crowe, 2012, Timing of traumatic brain injury in childhood and intellectual outcome, J Pediatr Psychol., 37, 745, 10.1093/jpepsy/jss070 · DOI
  43. Hebb, 1949, The Organization of Behavior.
  44. Anderson, 1995, Age at injury as a predictor of outcome following pediatric head injury: a longitudinal perspective, Child Neuropsychol., 3, 187, 10.1080/09297049508400224 · DOI · Paper page
  45. Dennis, 1994, Developmental aspects of neuropsychology, p. 219, 10.1016/B978-0-08-092668-1.50016-8 · DOI
  46. Ewing-Cobbs, 1989, Intellectual, motor, and language sequelae following closed head injury in infants and preschoolers, J. Pediatr. Psychol., 14, 531, 10.1093/jpepsy/14.4.531 · DOI
  47. Anderson, 2005, Recovery of executive skills following paediatric traumatic brain injury (TBI): A 2 year follow-up, Brain Inj., 19, 459, 10.1080/02699050400004823 · DOI
  48. Feldman, 1992, Language development after unilateral brain injury, Brain Lang., 42, 89, 10.1016/0093-934x(92)90058-m · doi:10.1016/0093-934x(92)90058-m
  49. Stiles, 1993, Linguistic and spatial cognitive development following early focal brain injury: patterns of deficit and recovery, p. 643
  50. Eslinger, 1999, Cognitive and behavioral development up to 4 years after early right frontal lobe lesion, Dev Neuropsychol., 15, 157, 10.1080/87565649909540744 · DOI
  51. Martin, 2008, Pediatric traumatic brain injury: an update of research to understand and improve outcomes, Curr Opin Pediatr., 20, 294, 10.1097/MOP.0b013e3282ff0dfa · doi:10.1097/mop.0b013e3282ff0dfa
  52. Teasdale, 1974, Assessment of coma and impaired consciousness. A practical scale, Lancet., 2, 81, 10.1016/s0140-6736(74)91639-0 · DOI · Paper page
  53. Simpson, 1982, Pediatric coma scale, Lancet., 2, 450, 10.1016/s0140-6736(82)90486-x · DOI
  54. Bigler, 2015, Day of injury CT and late MRI findings: cognitive outcome in a paediatric sample with complicated mild traumatic brain injury, Brain Inj., 29, 1062, 10.3109/02699052.2015.1011234 · DOI
  55. Bigler, 2013, Neuroimaging and social behavior in children after traumatic brain injury: findings from the Social Outcomes of Brain Injury in Kids (SOBIK) study, NeuroRehabilitation, 32, 707, 10.3233/NRE-130896 · DOI
  56. Rivara, 2011, Disability 3, 12, and 24 months after traumatic brain injury among children and adolescents, Pediatrics., 128, e1129, 10.1542/peds.2011-0840 · DOI
  57. Anderson, 2012, 10 years outcome from childhood traumatic brain injury, Int J Dev Neurosci., 30, 217, 10.1016/j.ijdevneu.2011.09.008 · DOI
  58. Catroppa, 2008, Using magnetic resonance imaging to predict new learning outcome at 5 years after childhood traumatic brain injury, J Child Neurol, 23, 486, 10.1177/0883073807309773 · DOI
  59. Aram, 1994, Intellectual stability in children with unilateral brain lesions, Neuropsychologia., 32, 85, 10.1016/0028-3932(94)90071-x · doi:10.1016/0028-3932(94)90071-x
  60. Levin, 2004, Psychosocial outcome of TBI in children with unilateral frontal lesions, J Int Neuropsychol Soc., 10, 305, 10.1017/s1355617704102129 · DOI
  61. Anderson, 2006, FMRI lateralization of expressive language in children with cerebral lesions, Epilepsia., 47, 998, 10.1111/j.1528-1167.2006.00572.x · DOI
  62. Anderson, 2000, Long-term sequelae of prefrontal cortex damage acquired in early childhood, Dev Neuropsychol., 18, 281, 10.1207/s1532694202anderson · DOI
  63. Eslinger, 2000, Adolescent neuropsychological development after early right prefrontal cortex damage, Dev Neuropsychol., 18, 297, 10.1207/s1532694203eslinger · DOI
  64. Power, 2007, Do lesion site and severity predict deficits in attentional control after preschool traumatic brain injury (TBI)?, Brain Inj., 21, 279, 10.1080/02699050701253095 · DOI
  65. Chugani, 1996, Functional brain reorganization in children, Brain Dev., 18, 347, 10.1016/0387-7604(96)00032-0 · DOI · Paper page
  66. Anderson, 2006, Understanding predictors of functional recovery and outcome 30 months following early childhood head injury, Neuropsychology., 20, 42, 10.1037/0894-4105.20.1.42 · DOI · Paper page
  67. Bigler, 2015, Neuropathology of mild traumatic brain injury: correlation to neurocognitive and neurobehavioral findings, p. 1, 10.1201/b18126-37 · DOI
  68. Margulies, 2010, Biomechanics of pediatric TBI, p. 7, 10.1017/CBO9780511676383.002 · DOI
  69. Pinto, 2012, The unique features of traumatic brain injury in children. review of the characteristics of the pediatric skull and brain, mechanisms of trauma, patterns of injury, complications, and their imaging findings–part 2, J Neuroimaging., 22, e18, 10.1111/j.1552-6569.2011.00690.x · DOI
  70. Pinto, 2012, The unique features of traumatic brain injury in children. Review of the characteristics of the pediatric skull and brain, mechanisms of trauma, patterns of injury, complications and their imaging findings–part 1, J Neuroimaging., 22, e1, 10.1111/j.1552-6569.2011.00688.x · DOI
  71. Giedd, 1999, Brain development during childhood and adolescence: a longitudinal MRI study, Nat Neurosci., 2, 861, 10.1038/13158 · DOI · Paper page
  72. Jacobs, 1993, A quantitative dendritic analysis of Wernicke's area in humans. II Gender, hemispheric, and environmental factors, J Comp Neurol., 327, 97, 10.1002/cne.903270108 · DOI · Paper page
  73. Shaywitz, 1995, Sex differences in the functional organization of the brain for language, Nature., 373, 607, 10.1038/373607a0 · DOI · Paper page
  74. Wei, 2013, The neuroprotective effects of progesterone on traumatic brain injury: current status and future prospects, Acta Pharmacol Sin., 34, 1485, 10.1038/aps.2013.160 · DOI
  75. Deutsch, 2013, Progesterone's role in neuroprotection, a review of the evidence, Brain Res., 1530, 82, 10.1016/j.brainres.2013.07.014 · DOI
  76. Labombarda, 2006, Progesterone increases the expression of myelin basic protein and the number of cells showing NG2 immunostaining in the lesioned spinal cord, J Neurotrauma., 23, 181, 10.1089/neu.2006.23.181 · DOI
  77. Kolb, 1995, Changes in the neonatal gonadal hormonal environment prevent behavioral sparing and alter cortical morphogenesis after early frontal cortex lesions in male and female rats, Behav Neurosci., 109, 285, 10.1037/0735-7044.109.2.285 · DOI
  78. Anderson, 2013, Social competence at 6 months following childhood traumatic brain injury, J Int Neuropsychol Soc., 19, 539, 10.1017/S1355617712001543 · DOI
  79. Max, 2012, Depression in children and adolescents in the first 6 months after traumatic brain injury, Int J Dev Neurosci., 30, 239, 10.1016/j.ijdevneu.2011.12.005 · DOI
  80. Schwartz, 2003, Long-term behavior problems following pediatric traumatic brain injury: prevalence, predictors, and correlates, J Pediatr Psychol., 28, 251, 10.1093/jpepsy/jsg013 · DOI · Paper page
  81. Scholten, 2015, Health-related quality of life after mild, moderate and severe traumatic brain injury: patterns and predictors of suboptimal functioning during the first year after injury, Injury., 46, 616, 10.1016/j.injury.2014.10.064 · DOI
  82. Greenough, 1973, Effects of rearing complexity on dendritic branching in frontolateral and temporal cortex of the rat, Exp Neurol., 41, 371, 10.1016/0014-4886(73)90278-1 · DOI · Paper page
  83. West, 1972, Effect of environmental complexity on cortical synapses of rats: preliminary results, Behav Biol., 7, 279, 10.1016/S0091-6773(72)80207-4 · DOI
  84. Wade, 2016, Social environmental moderators of long-term functional outcomes of early childhood brain injurylong-term impairments associated with childhood traumatic brain injurylong-term impairments associated with childhood traumatic brain injury, JAMA Pediatr., 170, 343, 10.1001/jamapediatrics.2015.4485 · DOI
  85. Yeates, 2012, Premorbid child and family functioning as predictors of post-concussive symptoms in children with mild traumatic brain injuries, Int J Dev Neurosci., 30, 231, 10.1016/j.ijdevneu.2011.05.008 · DOI
  86. Leijser, 2018, Imaging evidence of the effect of socio-economic status on brain structure and development, Semin Pediatr Neurol., 27, 26, 10.1016/j.spen.2018.03.004 · DOI
  87. Garcia, 2015, Topical review: negative behavioral and cognitive outcomes following traumatic brain injury in early childhood, J Pediatr Psychol., 40, 391, 10.1093/jpepsy/jsu093 · DOI
  88. Li, 2013, The effect of pediatric traumatic brain injury on behavioral outcomes: a systematic review, Dev Med Child Neurol., 55, 37, 10.1111/j.1469-8749.2012.04414.x · DOI · Paper page
  89. Verhelst, 2019, Cognitive training in young patients with traumatic brain injury: a fixel-based analysis, Neurorehabil Neural Repair., 33, 813, 10.1177/1545968319868720 · DOI
  90. Dennis, 2017, Diverging volumetric trajectories following pediatric traumatic brain injury, Neuroimage Clin., 15, 125, 10.1016/j.nicl.2017.03.014 · DOI
  91. Levin, 2000, Reduction of corpus callosum growth after severe traumatic brain injury in children, Neurology., 54, 647, 10.1212/wnl.54.3.647 · DOI
  92. Mayer, 2015, Gray matter abnormalities in pediatric mild traumatic brain injury, J Neurotrauma., 32, 723, 10.1089/neu.2014.3534 · DOI · Paper page
  93. Wu, 2018, A preliminary report of cerebral white matter microstructural changes associated with adolescent sports concussion acutely and subacutely using diffusion tensor imaging, Brain Imaging Behav., 12, 962, 10.1007/s11682-017-9752-5 · DOI
  94. Wu, 2010, Longitudinal changes in the corpus callosum following pediatric traumatic brain injury, Dev Neurosci., 32, 361, 10.1159/000317058 · DOI
  95. Wilde, 2012, Longitudinal changes in cortical thickness in children after traumatic brain injury and their relation to behavioral regulation and emotional control, Int J Dev Neurosci., 30, 267, 10.1016/j.ijdevneu.2012.01.003 · DOI
  96. Dennis, 2018, Magnetic resonance spectroscopy of fiber tracts in children with traumatic brain injury: a combined MRS - Diffusion MRI study, Hum Brain Mapp., 10.1002/hbm.24209 · DOI
  97. Dennis, 2017, Diverging white matter trajectories in children after traumatic brain injury: the RAPBI study, Neurology., 88, 1392, 10.1212/wnl.0000000000003808 · DOI
  98. Ewing-Cobbs, 2016, Longitudinal diffusion tensor imaging after pediatric traumatic brain injury: impact of age at injury and time since injury on pathway integrity, Hum Brain Mapp., 37, 3929, 10.1002/hbm.23286 · DOI
  99. Genc, 2017, Recovery of white matter following pediatric traumatic brain injury depends on injury severity, J Neurotrauma., 34, 798, 10.1089/neu.2016.4584 · DOI
  100. Mayer, 2012, Diffusion abnormalities in pediatric mild traumatic brain injury, J Neurosci., 32, 17961, 10.1523/jneurosci.3379-12.2012 · DOI · Paper page
  101. Van Beek, 2015, Longitudinal changes in mathematical abilities and white matter following paediatric mild traumatic brain injury, Brain Inj., 29, 1701, 10.3109/02699052.2015.1075172 · DOI
  102. Wilde, 2012, Diffusion tensor imaging in moderate-to-severe pediatric traumatic brain injury: changes within an 18 month post-injury interval, Brain Imaging Behav, 6, 404, 10.1007/s11682-012-9150-y · DOI
  103. Yuan, 2017, Changes in structural connectivity following a cognitive intervention in children with traumatic brain injury, Neurorehabil Neural Repair., 31, 190, 10.1177/1545968316675430 · DOI
  104. Babikian, 2018, Whole brain magnetic resonance spectroscopic determinants of functional outcomes in pediatric moderate/severe traumatic brain injury, J Neurotrauma., 35, 1637, 10.1089/neu.2017.5366 · DOI
  105. Holshouser, 2019, Longitudinal metabolite changes after traumatic brain injury: a prospective pediatric magnetic resonance spectroscopic imaging study, J Neurotrauma., 36, 1352, 10.1089/neu.2018.5919 · DOI
  106. Yeo, 2006, Magnetic resonance spectroscopy detects brain injury and predicts cognitive functioning in children with brain injuries, J Neurotrauma., 23, 1427, 10.1089/neu.2006.23.1427 · DOI
  107. Cazalis, 2011, Pivotal role of anterior cingulate cortex in working memory after traumatic brain injury in youth, Front Neurol., 1, 158, 10.3389/fneur.2010.00158 · DOI
  108. Mutch, 2016, Longitudinal brain magnetic resonance imaging CO2 stress testing in individual adolescent sports-related concussion patients: a pilot study, Front Neurol., 7, 107, 10.3389/fneur.2016.00107 · DOI
  109. Kim, 2008, Structural consequences of diffuse traumatic brain injury: a large deformation tensor-based morphometry study, Neuroimage., 39, 1014, 10.1016/j.neuroimage.2007.10.005 · DOI
  110. Dennis, 2015, Callosal function in pediatric traumatic brain injury linked to disrupted white matter integrity, J Neurosci., 35, 10202, 10.1523/JNEUROSCI.1595-15.2015 · DOI
  111. Ellis, 2016, The UCLA study of children with moderate-to-severe traumatic brain injury: event-related potential measure of interhemispheric transfer time, J Neurotrauma., 33, 990, 10.1089/neu.2015.4023 · DOI
  112. Smith, 2006, Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data, Neuroimage., 31, 1487, 10.1016/j.neuroimage.2006.02.024 · DOI · Paper page
  113. Raffelt, 2015, Connectivity-based fixel enhancement: whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres, Neuroimage., 117, 40, 10.1016/j.neuroimage.2015.05.039 · DOI · Paper page
  114. He, 2010, Graph theoretical modeling of brain connectivity, Curr Opin Neurol., 23, 341, 10.1097/WCO.0b013e32833aa567 · DOI · Paper page
  115. Rubinov, 2010, Complex network measures of brain connectivity: uses and interpretations, Neuroimage., 52, 1059, 10.1016/j.neuroimage.2009.10.003 · DOI · Paper page
  116. Alexander, 2007, Diffusion tensor imaging of the brain, Neurotherapeutics., 4, 316, 10.1016/j.nurt.2007.05.011 · DOI · Paper page
  117. Budde, 2008, Axonal injury detected by in vivo diffusion tensor imaging correlates with neurological disability in a mouse model of multiple sclerosis, NMR Biomed., 21, 589, 10.1002/nbm.1229 · DOI · Paper page
  118. Budde, 2009, Axial diffusivity is the primary correlate of axonal injury in the experimental autoimmune encephalomyelitis spinal cord: a quantitative pixelwise analysis, J Neurosci., 29, 2805, 10.1523/JNEUROSCI.4605-08.2009 · DOI · Paper page
  119. Harsan, 2006, Brain dysmyelination and recovery assessment by noninvasive in vivo diffusion tensor magnetic resonance imaging, J Neurosci Res., 83, 392, 10.1002/jnr.20742 · DOI · Paper page
  120. Sun, 2006, Noninvasive detection of cuprizone induced axonal damage and demyelination in the mouse corpus callosum, Magn Reson Med., 55, 302, 10.1002/mrm.20774 · DOI · Paper page
  121. Maudsley, 2006, Comprehensive processing, display and analysis for in vivo MR spectroscopic imaging, NMR Biomed., 19, 492, 10.1002/nbm.1025 · DOI
  122. Huppi, 2001, Magnetic resonance techniques in the evaluation of the perinatal brain: recent advances and future directions, Semin Neonatol., 6, 195, 10.1053/siny.2001.0039 · DOI
  123. Croall, 2015, Magnetic resonance spectroscopy for traumatic brain injury, Top Magn Reson Imaging., 24, 267, 10.1097/RMR.0000000000000063 · doi:10.1097/rmr.0000000000000063
  124. Moffett, 2007, N-Acetylaspartate in the CNS: from neurodiagnostics to neurobiology, Prog Neurobiol., 81, 89, 10.1016/j.pneurobio.2006.12.003 · DOI · Paper page
  125. McKenna, 2015, Metabolic alterations in developing brain after injury: knowns and unknowns, Neurochem Res., 40, 2527, 10.1007/s11064-015-1600-7 · DOI
  126. Gasparovic, 2009, Neurometabolite concentrations in gray and white matter in mild traumatic brain injury: an 1H-magnetic resonance spectroscopy study, J Neurotrauma., 26, 1635, 10.1089/neu.2009-0896 · DOI
  127. Govindaraju, 2004, Volumetric proton spectroscopic imaging of mild traumatic brain injury, AJNR Am J Neuroradiol., 25, 730
  128. Vagnozzi, 2008, Temporal window of metabolic brain vulnerability to concussion: a pilot 1H-magnetic resonance spectroscopic study in concussed athletes–part III, Neurosurgery., 62, 1286, 10.1227/01.neu.0000333300.34189.74 · doi:10.1227/01.neu.0000333300.34189.74 · Paper page
  129. Ross, 2001, Magnetic resonance spectroscopy of the human brain, Anat Rec., 265, 54, 10.1002/ar.1058 · DOI · Paper page
  130. Panigrahy, 2010, Magnetic resonance spectroscopy in pediatric neuroradiology: clinical and research applications, Pediatr Radiol., 40, 3, 10.1007/s00247-009-1450-z · DOI
  131. Macmillan, 2002, Traumatic brain injury and subarachnoid hemorrhage: in vivo occult pathology demonstrated by magnetic resonance spectroscopy may not be “ischaemic”. A primary study and review of the literature, Acta Neurochir., 144, 853, 10.1007/s00701-002-0966-x · doi:10.1007/s00701-002-0966-x
  132. Ashwal, 2000, Predictive value of proton magnetic resonance spectroscopy in pediatric closed head injury, Pediatr Neurol., 23, 114, 10.1016/S0887-8994(00)00176-4 · DOI
  133. Holshouser, 2005, Proton MR spectroscopic imaging depicts diffuse axonal injury in children with traumatic brain injury, AJNR Am J Neuroradiol., 26, 1276
  134. Len, 2011, Cerebrovascular pathophysiology following mild traumatic brain injury, Clin Physiol Funct Imaging., 31, 85, 10.1111/j.1475-097X.2010.00990.x · DOI
  135. Bhogal, 2015, Examining the regional and cerebral depth-dependent BOLD cerebrovascular reactivity response at 7T, Neuroimage., 114, 239, 10.1016/j.neuroimage.2015.04.014 · DOI
  136. Leung, 2016, Developmental trajectories of cerebrovascular reactivity in healthy children and young adults assessed with magnetic resonance imaging, J Physiol., 594, 2681, 10.1113/JP271056 · DOI
  137. Mutch, 2014, Brain MRI CO2 stress testing: a pilot study in patients with concussion, PLoS ONE., 9, e102181, 10.1371/journal.pone.0102181 · DOI
  138. Fierstra, 2013, Measuring cerebrovascular reactivity: what stimulus to use?, J Physiol., 591, 5809, 10.1113/jphysiol.2013.259150 · DOI · Paper page
  139. Bigler, 2013, Heterogeneity of brain lesions in pediatric traumatic brain injury, Neuropsychology, 27, 438, 10.1037/a0032837 · DOI
  140. Bigler, 2016, The relation of focal lesions to cortical thickness in pediatric traumatic brain injury, J Child Neurol., 31, 1302, 10.1177/0883073816654143 · DOI
  141. Coronado, 2011, Surveillance for traumatic brain injury-related deaths; United States, 1997–2007, MMWR Surveill Summ., 60, 1
  142. Falcone, 2008, Despite overall low pediatric head injury mortality, disparities exist between races, J Pediatr Surg., 43, 1858, 10.1016/j.jpedsurg.2008.01.058 · DOI
  143. Howard, 2005, Pediatric traumatic brain injury: do racial/ethnic disparities exist in brain injury severity, mortality, or medical disposition?, Ethn Dis., 15, S5
  144. Cameron, 2017, Impact of participant attrition on child injury outcome estimates: a longitudinal birth cohort study in Australia, BMJ Open., 7, e015584, 10.1136/bmjopen-2016-015584 · DOI
  145. Launes, 2014, Attrition in a 30-year follow-up of a perinatal birth risk cohort: factors change with age, PeerJ., 2, e480, 10.7717/peerj.480 · DOI
  146. Blaha, 2015, Factors influencing attrition in a multisite, randomized, clinical trial following traumatic brain injury in adolescence, J Head Trauma Rehabil., 30, E33, 10.1097/HTR.0000000000000059 · DOI
  147. Catroppa, 2008, Outcome and predictors of functional recovery 5 years following pediatric traumatic brain injury (TBI), J Pediatr Psychol., 33, 707, 10.1093/jpepsy/jsn006 · DOI · Paper page
  148. Anderson, 2009, Intellectual outcome from preschool traumatic brain injury: a 5-year prospective, longitudinal study, Pediatrics, 124, e1064, 10.1542/peds.2009-0365 · DOI
  149. Fletcher, 1990, Behavioral changes after closed head injury in children, J Consult Clin Psychol., 58, 93, 10.1037//0022-006x.58.1.93 · DOI · Paper page
  150. Nicholls, 2001, The insignificance of significance testing, Bull Am Meteorol Soc., 82, 981, 10.1175/1520-0477(2001)082<0981:CAATIO>2.3.CO;2 · doi:10.1175/1520-0477(2001)082<0981:caatio>2.3.co;2
  151. McCauley, 2012, Recommendations for the use of common outcome measures in pediatric traumatic brain injury research, J Neurotrauma., 29, 678, 10.1089/neu.2011.1838 · DOI · Paper page
  152. Duhaime, 2012, Common data elements for neuroimaging of traumatic brain injury: pediatric considerations, J Neurotrauma., 29, 629, 10.1089/neu.2011.1927 · DOI
  153. Dennis, 2019, Brain imaging in young brain-injured patients: a coordinated effort towards individualized predictors from the ENIGMA pediatric msTBI group, PsyArXiv., 10.31234/osf.io/y2txh · DOI
  154. Kristman, 2004, Loss to follow-up in cohort studies: how much is too much?, Eur J Epidemiol., 19, 751, 10.1023/b:ejep.0000036568.02655.f8 · DOI · Paper page
  155. Max, 2015, Personality change due to traumatic brain injury in children and adolescents: neurocognitive correlates, J Neuropsychiatry Clin Neurosci., 27, 272, 10.1176/appi.neuropsych.15030073 · DOI
  156. Stancin, 1998, Acute psychosocial impact of pediatric orthopedic trauma with and without accompanying brain injuries, J Trauma., 45, 1031, 10.1097/00005373-199812000-00010 · DOI
  157. Gerring, 1998, Premorbid prevalence of ADHD and development of secondary ADHD after closed head injury, J Am Acad Child Adolesc Psychiatry., 37, 647, 10.1097/00004583-199806000-00015 · DOI
  158. Basson, 1991, Behavioral disturbances in children after trauma, J Trauma., 31, 1363, 10.1097/00005373-199110000-00008 · DOI
  159. Hajek, 2010, Relationships among post-concussive symptoms and symptoms of PTSD in children following mild traumatic brain injury, Brain Inj., 24, 100, 10.3109/02699050903508226 · DOI
  160. Wilde, 2019, Orthopedic injured versus uninjured comparison groups for neuroimaging research in mild traumatic brain injury, J Neurotrauma., 36, 239, 10.1089/neu.2017.5513 · DOI

Cited by

Metadata

Authors
Lindsey, H. M., Wilde, E. A., Caeyenberghs, K., & Dennis, E. L.
Venue
Frontiers in Neurology
Publisher
Frontiers Media SA
Published
2019-12-13
Volume
10
ISSN
1664-2295
DOI
10.3389/fneur.2019.01296
Cited by
48
References
18
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
National Institutes of Health (R01 HD088438)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.