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Cortical thickness in pediatric mild traumatic brain injury including sports-related concussion

Bigler, Erin D., Finuf, Chris, Abildskov, Tracy J., Goodrich-Hunsaker, Naomi J., Petrie, Jo Ann, Wood, Dawn-Marie, Hesselink, John R., Wilde, Elisabeth A., Max, Jeffrey E.·2018·International Journal of Psychophysiology
DOI 10.1016/j.ijpsycho.2018.07.474
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  1. Adolfi, 2016, Convergence of interoception, emotion, and social cognition: a twofold fMRI meta-analysis and lesion approach, Cortex, 88, 124, 10.1016/j.cortex.2016.12.019 · DOI · Paper page
  2. Bayly, 2005, Deformation of the human brain induced by mild acceleration, J. Neurotrauma, 22, 845, 10.1089/neu.2005.22.845 · DOI · Paper page
  3. Bernard, 2017, Do concussive symptoms really resolve in young children?, J. Head Trauma Rehabil., 32, 413, 10.1097/HTR.0000000000000298 · DOI
  4. 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
  5. Bigler, 2017, Structural neuroimaging in sport-related concussion, Int. J. Psychophysiol., 2017
  6. Bigler, 2013, Heterogeneity of brain lesions in pediatric traumatic brain injury, Neuropsychology, 27, 438, 10.1037/a0032837 · DOI
  7. 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
  8. Bigler, 2016, Structural neuroimaging findings in mild traumatic brain injury, Sports Med. Arthrosc. Rev., 24, e42, 10.1097/JSA.0000000000000119 · DOI
  9. Bigler, 2016, The relation of focal lesions to cortical thickness in pediatric traumatic brain injury, J. Child Neurol., 31, 1302, 10.1177/0883073816654143 · DOI
  10. Brito, 2017, Associations between cortical thickness and neurocognitive skills during childhood vary by family socioeconomic factors, Brain Cogn., 116, 54, 10.1016/j.bandc.2017.03.007 · DOI
  11. Brown, 2012, Brain development during the preschool years, Neuropsychol. Rev., 22, 313, 10.1007/s11065-012-9214-1 · DOI · Paper page
  12. Bryan, 2016, Sports- and recreation-related concussions in US youth, Pediatrics, 138, 10.1542/peds.2015-4635 · DOI · Paper page
  13. Cannon, 2016, Brain biomarkers of vulnerability and progression to psychosis, Schizophr. Bull., 42, S127, 10.1093/schbul/sbv173 · DOI
  14. Chua, 2017, Negative correlation of cortical thickness with the severity and duration of abdominal pain in Asian women with irritable bowel syndrome, PLoS One, 12, 10.1371/journal.pone.0183960 · DOI
  15. Churchill, 2017, Brain structure and function associated with a history of sport concussion: a multi-modal magnetic resonance imaging study, J. Neurotrauma, 34, 765, 10.1089/neu.2016.4531 · DOI
  16. Cohen, 2009, Sports-related concussions in pediatrics, Curr. Opin. Pediatr., 21, 288, 10.1097/MOP.0b013e32832b1195 · DOI
  17. Dall'Acqua, 2016, Connectomic and surface-based morphometric correlates of acute mild traumatic brain injury, Front. Hum. Neurosci., 10, 127, 10.3389/fnhum.2016.00127 · DOI
  18. de Kruijf, 2016, Structural brain alterations in community dwelling individuals with chronic joint pain, AJNR Am. J. Neuroradiol., 37, 430, 10.3174/ajnr.A4556 · DOI
  19. Dennis, 2013, Typical and atypical brain development: a review of neuroimaging studies, Dialogues Clin. Neurosci., 15, 359, 10.31887/DCNS.2013.15.3/edennis · DOI
  20. Dennis, 2013, Age, plasticity, and homeostasis in childhood brain disorders, Neurosci. Biobehav. Rev., 37, 2760, 10.1016/j.neubiorev.2013.09.010 · DOI
  21. Epstein, 1986, Stages in human brain development, Brain Res., 395, 114, 10.1016/0165-3806(86)90139-2 · DOI
  22. Espana, 2017, Serial assessment of gray matter abnormalities after sport-related concussion, J. Neurotrauma, 34, 3143, 10.1089/neu.2017.5002 · DOI
  23. Fischl, 2012, FreeSurfer, NeuroImage, 62, 774, 10.1016/j.neuroimage.2012.01.021 · DOI · Paper page
  24. Ghajari, 2017, Computational modelling of traumatic brain injury predicts the location of chronic traumatic encephalopathy pathology, Brain, 140, 333, 10.1093/brain/aww317 · DOI · Paper page
  25. Giedd, 2010, Anatomic magnetic resonance imaging of the developing child and adolescent brain and effects of genetic variation, Neuropsychol. Rev., 20, 349, 10.1007/s11065-010-9151-9 · DOI · Paper page
  26. Gioia, 2008, Psychometric properties of the parent and teacher post-concussion symptom inventory (PCSI) for children and adolescents, J. Int. Neuropsychol. Soc., 14, 204
  27. Goddeyne, 2015, Repetitive mild traumatic brain injury induces ventriculomegaly and cortical thinning in juvenile rats, J. Neurophysiol., 113, 3268, 10.1152/jn.00970.2014 · DOI
  28. Govindarajan, 2016, Cortical thickness in mild traumatic brain injury, J. Neurotrauma, 33, 1809, 10.1089/neu.2015.4253 · DOI
  29. Helms, 2016, Segmentation of human brain using structural MRI, MAGMA, 29, 111, 10.1007/s10334-015-0518-z · DOI
  30. Herting, 2015, A longitudinal study: changes in cortical thickness and surface area during pubertal maturation, PLoS One, 10, 10.1371/journal.pone.0119774 · DOI · Paper page
  31. Higger, 2017, Pairwise, ordinal outlier detection of traumatic brain injuries, Brain, 10670, 100
  32. Kamins, 2017, What is the physiological time to recovery after concussion? A systematic review, Br. J. Sports Med., 51, 935, 10.1136/bjsports-2016-097464 · DOI · Paper page
  33. King, 2016, Mean cortical curvature reflects cytoarchitecture restructuring in mild traumatic brain injury, NeuroImage, 11, 81, 10.1016/j.nicl.2016.01.003 · DOI
  34. Koerte, 2016, Cortical thinning in former professional soccer players, Brain Imaging Behav., 10, 792, 10.1007/s11682-015-9442-0 · DOI
  35. Kucyi, 2012, Hemispheric asymmetry in white matter connectivity of the temporoparietal junction with the insula and prefrontal cortex, PLoS One, 7, 10.1371/journal.pone.0035589 · DOI
  36. Levan, 2015, Right frontal pole cortical thickness and executive functioning in children with traumatic brain injury: the impact on social problems, Brain Imaging Behav., 10, 1090, 10.1007/s11682-015-9472-7 · DOI
  37. LeWinn, 2017, Sample composition alters associations between age and brain structure, Nat. Commun., 8, 874, 10.1038/s41467-017-00908-7 · DOI
  38. List, 2015, Cognitive function and brain structure after recurrent mild traumatic brain injuries in young-to-middle-aged adults, Front. Hum. Neurosci., 9, 228, 10.3389/fnhum.2015.00228 · DOI
  39. Mayer, 2015, A longitudinal assessment of structural and chemical alterations in mixed martial arts fighters, J. Neurotrauma, 32, 1759, 10.1089/neu.2014.3833 · DOI
  40. McCauley, 2010, Patterns of cortical thinning in relation to event-based prospective memory performance three months after moderate to severe traumatic brain injury in children, Dev. Neuropsychol., 35, 318, 10.1080/87565641003696866 · DOI
  41. McCrea, 2017, Role of advanced neuroimaging, fluid biomarkers and genetic testing in the assessment of sport-related concussion: a systematic review, Br. J. Sports Med., 51, 919, 10.1136/bjsports-2016-097447 · DOI · Paper page
  42. Meier, 2016, Thinner cortex in collegiate football players with, but not without, a self-reported history of concussion, J. Neurotrauma, 33, 330, 10.1089/neu.2015.3919 · DOI
  43. Merkley, 2008, Diffuse changes in cortical thickness in pediatric moderate-to-severe traumatic brain injury, J. Neurotrauma, 25, 1343, 10.1089/neu.2008.0615 · DOI
  44. Mills, 2014, Methods and considerations for longitudinal structural brain imaging analysis across development, Dev. Cogn. Neurosci., 9, 172, 10.1016/j.dcn.2014.04.004 · DOI · Paper page
  45. Moeskops, 2015, Development of cortical morphology evaluated with longitudinal MR brain images of preterm infants, PLoS One, 10, 10.1371/journal.pone.0131552 · DOI
  46. Newman, 2016, Anxiety is related to indices of cortical maturation in typically developing children and adolescents, Brain Struct. Funct., 221, 3013, 10.1007/s00429-015-1085-9 · DOI
  47. Newsome, 2018, Functional brain connectivity and cortical thickness in relation to chronic pain in Post-911 veterans and service members with mTBI, Brain Inj., 10.1080/02699052.2018.1494853 · DOI
  48. Ommaya, 2002, Biomechanics and neuropathology of adult and paediatric head injury, Br. J. Neurosurg., 16, 220, 10.1080/02688690220148824 · DOI · Paper page
  49. Peyron, 2000, Functional imaging of brain responses to pain. A review and meta-analysis (2000), Neurophysiol. Clin., 30, 263, 10.1016/S0987-7053(00)00227-6 · DOI · Paper page
  50. Piccolo, 2016, Age-related differences in cortical thickness vary by socioeconomic status, PLoS One, 11, 10.1371/journal.pone.0162511 · DOI
  51. Plourde, 2018, Evaluating anxiety and depression symptoms in children and adolescents with prior mild traumatic brain injury: agreement between methods and respondents, Child Neuropsychol., 1
  52. Schwedt, 2017, Persistent post-traumatic headache vs. migraine: an MRI study demonstrating differences in brain structure, J. Headache Pain, 18, 87, 10.1186/s10194-017-0796-0 · DOI
  53. Shapiro, 2016, Differential expression of cytoskeletal regulatory factors in the adolescent prefrontal cortex: implications for cortical development, J. Neurosci. Res., 95, 1123, 10.1002/jnr.23960 · DOI
  54. Silk, 2011, Lessons about neurodevelopment from anatomical magnetic resonance imaging, J. Dev. Behav. Pediatr., 32, 158, 10.1097/DBP.0b013e318206d58f · DOI
  55. Squier, 2010, Abnormal development of the human cerebral cortex, J. Anat., 217, 312, 10.1111/j.1469-7580.2010.01288.x · DOI
  56. Sussman, 2017, Concussion induces focal and widespread neuromorphological changes, Neurosci. Lett., 650, 52, 10.1016/j.neulet.2017.04.026 · DOI
  57. Thomas, 2016, The over-pruning hypothesis of autism, Dev. Sci., 19, 284, 10.1111/desc.12303 · DOI
  58. Urban, 2016, Cortical thickness changes and their relationship to dual-task performance following mild traumatic brain injury in youth, J. Neurotrauma, 34, 816, 10.1089/neu.2016.4502 · DOI · Paper page
  59. Wang, 2018, Structural and functional abnormalities of the insular cortex in trigeminal neuralgia: a multimodal magnetic resonance imaging analysis, Pain, 159, 507, 10.1097/j.pain.0000000000001120 · DOI
  60. 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
  61. Woodworth, 2018, Alterations in cortical thickness and subcortical volume are associated with neurological symptoms and neck pain in patients with cervical spondylosis, Neurosurgery

Cited by

Metadata

Authors
Bigler, E. D., Finuf, C., Abildskov, T. J., Goodrich-Hunsaker, N. J., Petrie, J. A., Wood, D.-M., Hesselink, J. R., Wilde, E. A., & Max, J. E.
Venue
International Journal of Psychophysiology
Publisher
Elsevier BV
Published
2018-10
Volume
132
Pages
99-104
ISSN
0167-8760
DOI
10.1016/j.ijpsycho.2018.07.474
Cited by
21
References
4
Language
en
Update notices
erratum (2019-05-01)
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Funders
NIH (1 R01 HD068432-01A1)

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