Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 31

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Neuroimaging in paediatric mild traumatic brain injury: a systematic review

Rausa, Vanessa C, Shapiro, Jesse, Seal, Marc L, Davis, Gavin A, Anderson, Vicki, Babl, Franz E, Veal, Ryan, Parkin, Georgia, Ryan, Nicholas P, Takagi, Michael·2020·Neuroscience & Biobehavioral Reviews

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 · 10.1016/j.neubiorev.2020.08.017

Cites

7 of 7 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 7 references

Research works printed but not linked: 69

  1. Babl, 2017, Accuracy of PECARN, CATCH, and CHALICE head injury decision rules in children: a prospective cohort study, Lancet, 389, 2393, 10.1016/S0140-6736(17)30555-X · DOI · Paper page
  2. Davis, 2017, What is the difference in concussion management in children as compared with adults? A systematic review, Br J Sports Med, 51, 949, 10.1136/bjsports-2016-097415 · DOI · Paper page
  3. Ransom, 2015, Academic effects of concussion in children and adolescents, Pediatrics, 135, 1043, 10.1542/peds.2014-3434 · doi:10.1542/peds.2014-3434
  4. Mayer, 2012, Diffusion abnormalities in pediatric mild traumatic brain injury, J Neurosci, 32, 17961, 10.1523/JNEUROSCI.3379-12.2012 · DOI · Paper page
  5. Yang, 2012, An fMRI study of auditory orienting and inhibition of return in pediatric mild traumatic brain injury, J Neurotrauma, 29, 2124, 10.1089/neu.2012.2395 · DOI · Paper page
  6. Schmidt, 2018, Imaging in paediatric concussion: a systematic review, Pediatrics, 141, 10.1542/peds.2017-3406 · DOI · Paper page
  7. Mayer, 2018, Advanced biomarkers of pediatric mild traumatic brain injury: Progress and perils, Neurosci Biobehav Rev, 94, 149, 10.1016/j.neubiorev.2018.08.002 · DOI
  8. Mutch, 2018, Patient-specific alterations in CO2 cerebrovascular responsiveness in acute and sub-acute sports-related concussion, Front Neurol, 9, 10.3389/fneur.2018.00023 · DOI
  9. Stephens, 2018, Cerebral blood flow after mild traumatic brain injury: associations between symptoms and post-injury perfusion, J Neurotrauma, 35, 241, 10.1089/neu.2017.5237 · DOI
  10. 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
  11. Hartling, 2013, Testing the Newcastle Ottawa Scale showed low reliability between individual reviewers, J Clin Epidemiol, 66, 982, 10.1016/j.jclinepi.2013.03.003 · DOI · Paper page
  12. Agrawal, 2005, Is medial temporal injury responsible for pediatric postconcussion syndrome? A prospective controlled study with single-photon emission computerized tomography, J Neurosurg, 102, 167, 10.3171/jns.2005.102.2.0167 · DOI
  13. Urban, 2015, Functional near-infrared spectroscopy reveals reduced interhemispheric cortical communication after pediatric concussion, J Neurotrauma, 32, 833, 10.1089/neu.2014.3577 · DOI
  14. Beauchamp, 2013, Susceptibility weighted imaging and its relationship to outcome after pediatric traumatic brain injury, Cortex, 49, 591, 10.1016/j.cortex.2012.08.015 · DOI
  15. Taylor, 2010, Post-concussive symptoms in children with mild traumatic brain injury, J Neuropsychol, 24, 148, 10.1037/a0018112 · DOI · Paper page
  16. Fay, 2010, Cognitive reserve as a moderator of postconcussive symptoms in children with complicated and uncomplicated mild traumatic brain injury, J Int Neuropsychol Soc, 16, 94, 10.1017/S1355617709991007 · DOI
  17. Mac Donald, 2018, Quantitative volumetric imaging and clinical outcome characterization of symptomatic concussion in 10- to 14-year-old adolescent athletes, J Head Trauma Rehabil, 33, E1, 10.1097/HTR.0000000000000381 · DOI
  18. Mac Donald, 2019, Longitudinal clinical and neuroimaging evaluation of symptomatic concussion in 10- to 14-year-old youth athletes, J Neurotrauma, 10, 10
  19. Max, 2013, Psychiatric disorders in children and adolescents in the first six months after mild traumatic brain injury, J Neuropsychiatry Clin Neurosci, 25, 187, 10.1176/appi.neuropsych.12010011 · DOI
  20. Mayer, 2014, Gray matter abnormalities in pediatric mild traumatic brain injury, J Neurotrauma, 31, A66
  21. Bigler, 2018, Cortical thickness in pediatric mild traumatic brain injury including sports-related concussion, Int J Psychophysiol, 132, 99, 10.1016/j.ijpsycho.2018.07.474 · DOI · Paper page
  22. Beauchamp, 2011, Hippocampus, amygdala and global brain changes 10 years after childhood traumatic brain injury, Int J Dev Neurosci, 29, 137, 10.1016/j.ijdevneu.2010.12.003 · DOI
  23. Antshel, 2007, Attributions of behavior in the pediatric mild closed head injury (CHI) population, Psychol Health Med, 12, 48, 10.1080/13548500500535654 · DOI
  24. Ewing-Cobbs, 2012, Social communication in young children with traumatic brain injury: Relations with corpus callosum morphometry, Int J Dev Neurosci, 30, 247, 10.1016/j.ijdevneu.2011.07.004 · DOI
  25. Max, 2015, Psychiatric disorders in children and adolescents 24 months after mild traumatic brain injury, J Neuropsychiatry Clin Neurosci, 27, 112, 10.1176/appi.neuropsych.13080190 · DOI
  26. Max, 2013, Psychiatric disorders in children and adolescents six-to-twelve months after mild traumatic brain injury, J Neuropsychiatry Clin Neurosci, 25, 272, 10.1176/appi.neuropsych.12040078 · DOI
  27. Brooks, 2019, Cerebral blood flow in children and adolescents several years after concussion, Brain Inj, 33, 233, 10.1080/02699052.2018.1540798 · DOI
  28. Choi, 2014, Comparison of subgroups based on hemorrhagic lesions between SWI and FLAIR in pediatric traumatic brain injury, Childs Nerv Syst, 30, 1011, 10.1007/s00381-013-2349-4 · doi:10.1007/s00381-013-2349-4
  29. Babcock, 2013, Predicting postconcussion syndrome after mild traumatic brain injury in children and adolescents who present to the emergency department, JAMA Pediatr, 167, 156, 10.1001/jamapediatrics.2013.434 · DOI · Paper page
  30. Chu, 2010, Voxel-based analysis of diffusion tensor imaging in mild traumatic brain injury in adolescents, AJNR Am J Neuroradiol, 31, 340, 10.3174/ajnr.A1806 · DOI · Paper page
  31. Friedman, 2017, GABA alterations in pediatric sport concussion, Neurology, 89, 2151, 10.1212/WNL.0000000000004666 · DOI
  32. Maugans, 2012, Pediatric sports-related concussion produces cerebral blood flow alterations, Pediatrics, 129, 28, 10.1542/peds.2011-2083 · DOI · Paper page
  33. 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
  34. Urban, 2017, 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
  35. Dennis, 2015, White matter disruption in moderate/severe pediatric traumatic brain injury: advanced tract-based analyses, Neuroimage Clin, 12, 493, 10.1016/j.nicl.2015.02.002 · DOI
  36. Huisman, 2004, Diffusion tensor imaging as potential biomarker of white matter injury in diffuse axonal injury, AJNR Am J Neuroradiol, 25, 370
  37. Manning, 2017, Multiparametric MRI changes persist beyond recovery in concussed adolescent hockey players, Neurology, 89, 2157, 10.1212/WNL.0000000000004669 · DOI
  38. Bartnik-Olson, 2014, Impaired neurovascular unit function contributes to persistent symptoms after concussion: A pilot study, J Neurotrauma, 31, 1497, 10.1089/neu.2013.3213 · DOI
  39. Babcock, 2015, White matter alterations in youth with acute mild traumatic brain injury, J Pediatr Rehabil Med, 8, 285
  40. Yallampalli, 2013, Acute white matter differences in the fornix following mild traumatic brain injury using diffusion tensor imaging, J Neuroimaging, 23, 224, 10.1111/j.1552-6569.2010.00537.x · DOI · Paper page
  41. Lancaster, 2016, Acute white matter changes following sport-related concussion: A serial diffusion tensor and diffusion kurtosis tensor imaging study, Hum Brain Mapp, 37, 3821, 10.1002/hbm.23278 · DOI
  42. Van Beek, 2015, Mathematical difficulties and white matter abnormalities in subacute pediatric mild traumatic brain injury, J Neurotrauma, 32, 1567, 10.1089/neu.2014.3809 · DOI
  43. King, 2019, Microstructural neuroimaging of white matter tracts in persistent post-concussion syndrome: a prospective controlled cohort study, Neuroimage Clin, 23, 10.1016/j.nicl.2019.101842 · DOI
  44. Wu, 2010, Evaluating the relationship between memory functioning and cingulum bundles in acute mild traumatic brain injury using diffusion tensor imaging, J Neurotrauma, 27, 303, 10.1089/neu.2009.1110 · DOI
  45. Murdaugh, 2018, Longitudinal changes in resting state connectivity and white matter integrity in adolescents with sports-related concussion, J Int Neuropsychol Soc, 24, 781, 10.1017/S1355617718000413 · DOI
  46. Lancaster, 2018, Chronic differences in white matter integrity following sport-related concussion as measured by diffusion MRI: 6-month follow-up, Hum Brain Mapp, 39, 4276, 10.1002/hbm.24245 · DOI
  47. Yuan, 2015, Structural connectivity abnormality in children with acute mild traumatic brain injury using graph theoretical analysis, Hum Brain Mapp, 36, 779, 10.1002/hbm.22664 · DOI · Paper page
  48. Konigs, 2017, The structural connectome of children with traumatic brain injury, Hum Brain Mapp, 38, 3603, 10.1002/hbm.23614 · DOI
  49. Yuan, 2017, Structural connectivity related to persistent symptoms after mild TBI in adolescents and response to aerobic training: preliminary investigation, J Head Trauma Rehabil, 32, 378, 10.1097/HTR.0000000000000318 · DOI
  50. Shaikh, 2019, Neuroimaging in pediatric epilepsy, Brain Sci, 9, 190, 10.3390/brainsci9080190 · DOI
  51. Mutch, 2016, Brain magnetic resonance imaging CO2 stress testing in adolescent postconcussion syndrome, J Neurosurg, 125, 648, 10.3171/2015.6.JNS15972 · DOI
  52. Borich, 2015, Alterations in resting-state brain networks in concussed adolescent athletes, J Neurotrauma, 32, 265, 10.1089/neu.2013.3269 · DOI
  53. Newsome, 2016, Functional connectivity is altered in concussed adolescent athletes despite medical clearance to return to play: a preliminary report, Front Neurol, 7, 116, 10.3389/fneur.2016.00116 · DOI
  54. Iyer, 2019, Relating brain connectivity with persistent symptoms in pediatric concussion, Ann Clin Transl Neurol, 6, 954, 10.1002/acn3.764 · DOI
  55. Dona, 2017, Fractal analysis of brain blood oxygenation level dependent (BOLD) signals from children with mild traumatic brain injury (mTBI), PLoS One, 12, 10.1371/journal.pone.0169647 · DOI · Paper page
  56. Hammeke, 2013, Acute and subacute changes in neural activation during the recovery from sport-related concussion, J Int Neuropsychol Soc, 19, 863, 10.1017/S1355617713000702 · DOI
  57. Keightley, 2014, A functional magnetic resonance imaging study of working memory in youth after sports-related concussion: Is it still working?, J Neurotrauma, 31, 437, 10.1089/neu.2013.3052 · DOI
  58. Krivitzky, 2011, Functional magnetic resonance imaging of working memory and response inhibition in children with mild traumatic brain injury, J Int Neuropsychol Soc, 17, 1143, 10.1017/S1355617711001226 · DOI · Paper page
  59. Saluja, 2015, Navigational memory functional magnetic resonance imaging: a test for concussion in children, J Neurotrauma, 32, 712, 10.1089/neu.2014.3470 · DOI
  60. Sinopoli, 2014, Imaging “brain strain” in youth athletes with mild traumatic brain injury during dual-task performance, J Neurotrauma, 31, 1843, 10.1089/neu.2014.3326 · DOI
  61. Westfall, 2015, Increased brain activation during working memory processing after pediatric mild traumatic brain injury (mTBI), J Pediatr Rehabil Med, 8, 297
  62. Holmes, 2019, Evaluating task-based brain network activity in pediatric subjects with an mTBI: mechanisms of functional compensation are symptom-level dependent, Brain Inj, 33, 383, 10.1080/02699052.2018.1552023 · DOI · Paper page
  63. Khetani, 2019, Alteration in cerebral activation during a working memory task after pediatric mild traumatic brain injury: a prospective controlled cohort study, J Neurotrauma, 36, 3274, 10.1089/neu.2018.6117 · DOI · Paper page
  64. Hearps, 2017, Validation of a Score to Determine Time to Postconcussive Recovery, Pediatrics, 139, 10.1542/peds.2016-2003 · DOI
  65. Barlow, 2017, Cerebral perfusion changes in post-concussion syndrome: a prospective controlled cohort study, J Neurotrauma, 34, 996, 10.1089/neu.2016.4634 · DOI
  66. Gardner, 2012, A systematic review of diffusion tensor imaging findings in sports-related concussion, J Neurotrauma, 29, 2521, 10.1089/neu.2012.2628 · DOI
  67. Shenton, 2012, A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury, Brain Imaging Behav, 6, 137, 10.1007/s11682-012-9156-5 · DOI · Paper page
  68. Yeates, 2017, Advancing concussion assessment in pediatrics (A-CAP): a prospective, concurrent cohort, longitudinal study of mild traumatic brain injury in children: study protocol, BMJ Open, 7, 10.1136/bmjopen-2017-017012 · DOI
  69. Broglio, 2017, A national study on the effects of concussion in collegiate athletes and US military service adademy members: The NCAA-DoD concussion assessment, research and education (CARE) consortium structure and methods, Sports Med, 47, 1437, 10.1007/s40279-017-0707-1 · DOI · Paper page

Cited by

See all 31

Metadata

Authors
Rausa, V. C., Shapiro, J., Seal, M. L., Davis, G. A., Anderson, V., Babl, F. E., Veal, R., Parkin, G., Ryan, N. P., & Takagi, M.
Venue
Neuroscience & Biobehavioral Reviews
Publisher
Elsevier BV
Published
2020-11
Volume
118
Pages
643-653
ISSN
0149-7634
Cited by
31
References
7
Language
en
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Funders
Royal Children's Hospital Foundation

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Neuroimaging in paediatric mild traumatic brain injury: a systematic review. https://app.cochat.ai/papers/10.1016/j.neubiorev.2020.08.017
The paper
Rausa, V. C., Shapiro, J., Seal, M. L., Davis, G. A., Anderson, V., Babl, F. E., Veal, R., Parkin, G., Ryan, N. P., & Takagi, M. (2020). Neuroimaging in paediatric mild traumatic brain injury: a systematic review. Neuroscience & Biobehavioral Reviews. https://doi.org/10.1016/j.neubiorev.2020.08.017

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.