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A Scoping Review of Magnetic Resonance Modalities Used in Detection of Persistent Postconcussion Symptoms in Pediatric Populations
Abstract
Up to 30% of youth with concussion experience PPCSs (PPCS) lasting 4 weeks or longer, and can significantly impact quality of life. Magnetic resonance imaging (MRI) has the potential to increase understanding of causal mechanisms underlying PPCS. However, there are no clear modalities to assist in detecting PPCS. This scoping review aims to synthesize findings on utilization of MRI among children and youth with PPCS, and summarize progress and limitations. Thirty-six studies were included from 4907 identified papers. Many studies used multiple modalities, including (1) structural (n = 27) such as T1-weighted imaging, diffusion weighted imaging, and susceptibility weighted imaging; and (2) functional (n = 23) such as functional MRI and perfusion-weighted imaging. Findings were heterogeneous among modalities and regions of interest, which warrants future reviews that report on the patterns and potential advancements in the field. Consideration of modalities that target PPCS prediction and sensitive modalities that can supplement a biopsychosocial approach to PPCS would benefit future research.
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“While a recent review specifically examined MRI modalities used in children and youth with persistent post-concussive symptoms and similarly highlighted substantial methodological heterogeneity and the absence of a clearly established MRI approach for detecting PPCS (Sheldrake et al., 2023)”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Sheldrake et al., 2023
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Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018) · BMC Medical Research Methodology · doi:10.1186/s12874-018-0611-x · Cited by 11,385
(2020) · JBI Manual for Evidence Synthesis · doi:10.46658/jbimes-20-12 · Cited by 2,545
Zemek, R., Barrowman, N., Freedman, S. B., Gravel, J., Gagnon, I., McGahern, C., Aglipay, M., Sangha, G., Boutis, K., Beer, D., et al. (2016) · JAMA · doi:10.1001/jama.2016.1203 · Cited by 900
A Multidimensional Approach to Post-concussion Symptoms in Mild Traumatic Brain Injury
Polinder, S., Cnossen, M. C., Real, R. G. L., Covic, A., Gorbunova, A., Voormolen, D. C., Master, C. L., Haagsma, J. A., Diaz-Arrastia, R., & von Steinbuechel, N. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.01113 · Cited by 376
Traumatic brain injury: Does gender influence outcomes?
Munivenkatappa, A., Agrawal, A., Shukla, D., Kumaraswamy, D., & Devi, B. (2016) · International Journal of Critical Illness and Injury Science · doi:10.4103/2229-5151.183024 · Cited by 141
Keenan, H. T., Presson, A. P., Clark, A. E., Cox, C. S., & Ewing-Cobbs, L. (2019) · Journal of Neurotrauma · doi:10.1089/neu.2018.5687 · Cited by 56
Research works printed but not linked: 114
- 10.1016/j.spen.2019.03.017 · DOI
- Veliz P, 2016, JAMA, 34, 376
- 10.1016/j.pediatrneurol.2005.09.007 · DOI
- 10.1080/14737175.2016.1205487 · DOI · Paper page
- 10.1016/j.cortex.2020.07.003 · DOI · Paper page
- 10.1016/j.jpeds.2016.10.067 · DOI
- 10.1016/j.pmrj.2011.07.017 · DOI · Paper page
- 10.2217/cnc-2017-0015 · DOI
- 10.1542/peds.2018-0939 · DOI
- 10.1080/09540260310001606692 · DOI · Paper page
- Ganti L, 2004, Int J Emerg Med, 7, 1
- 10.1016/j.pediatrneurol.2015.04.011 · DOI
- 10.1177/0363546511410655 · DOI · Paper page
- Makdissi M, 2013, J Sports Med, 47, 308
- 10.1017/S1355617712000872 · DOI · Paper page
- 10.1016/j.jpeds.2013.03.012 · DOI
- 10.3109/02699052.2015.1004756 · DOI
- 10.1111/acem.12220 · DOI
- Lumba-Brown A, 2018, JAMA Pediatr, 172
- Guideline for concussion/mild traumatic brain injury and prolonged symptoms: 3rd edition (for adults 10* years of age). Ontario Neurotrauma Foundation. Accessed February 18, 2022. https://braininjuryguidelines.org/concussion/
- 10.1001/jamapediatrics.2016.2900 · DOI
- 10.1136/bjsm.2004.014811 · DOI
- 10.1136/bjsports-2013-092247 · DOI
- Almasi SJ, 2012, WMJ, 111, 21
- 10.1016/j.jemermed.2020.09.017 · DOI
- 10.1089/neu.2016.4412 · DOI
- 10.1016/j.pediatrneurol.2015.04.003 · DOI
- 10.1038/s41598-017-07742-3 · DOI
- 10.1055/s-0028-1083697 · DOI
- 10.1080/1364557032000119616 · DOI · Paper page
- 10.1186/1748-5908-5-69 · DOI · Paper page
- Tricco AC, 2016, BMC Med Res Methodol, 16
- 10.1093/pch/8.9.577 · DOI · Paper page
- The EndNote Team, 2013, EndNote
- 2014, Covidence systematic review software
- 10.3389/fneur.2016.00107 · DOI
- 10.1016/j.ijpsycho.2018.07.474 · DOI · Paper page
- 10.1037/a0032837 · DOI
- 10.1089/neu.2020.7200 · DOI
- 10.1097/HTR.0000000000000381 · DOI
- 10.1089/neu.2018.5629 · DOI
- 10.1089/neu.2019.6850 · DOI · Paper page
- 10.1097/00001199-199908000-00003 · DOI · Paper page
- 10.1542/peds.2008-1056 · DOI · Paper page
- 10.1177/0883073820962930 · DOI
- 10.3174/ajnr.A5692 · DOI
- 10.1542/peds.2011-2083 · DOI · Paper page
- 10.1002/hbm.24778 · DOI · Paper page
- 10.1016/j.nicl.2019.102106 · DOI
- 10.1097/HTR.0000000000000318 · DOI
- 10.1002/hbm.24245 · DOI
- 10.1177/0883073821996095 · DOI
- 10.1212/WNL.0000000000004669 · DOI
- Weschler D, 2003, Weschler Intelligence Scale for Children – Fourth Edition (WISC-IV)
- 10.1016/j.nicl.2019.101842 · DOI
- 10.1089/neu.2013.3213 · DOI
- 10.1016/j.msksp.2019.05.002 · DOI
- 10.1017/S1355617720000223 · DOI
- 10.1007/s11065-015-9294-9 · DOI · Paper page
- 10.1002/acn3.764 · DOI
- 10.1002/jmri.27249 · DOI · Paper page
- 10.3171/2015.6.JNS15972 · DOI
- 10.1002/acn3.50951 · DOI
- 10.1089/neu.2020.7189 · DOI · Paper page
- 10.1093/arclin/acz073 · DOI
- 10.1371/journal.pone.0169647 · DOI · Paper page
- 10.1016/j.nicl.2020.102217 · DOI
- 10.1080/02699052.2018.1552023 · DOI · Paper page
- 10.1089/neu.2018.6117 · DOI · Paper page
- 10.1089/neu.2020.7566 · DOI
- 10.1089/neu.2016.4634 · DOI
- 10.1080/02699052.2018.1540798 · DOI
- 10.1089/neu.2017.5237 · DOI
- 10.1001/jamapediatrics.2020.2209 · DOI
- 10.1001/jama.2019.11456 · DOI · Paper page
- 10.1016/j.jpeds.2015.05.036 · DOI
- 10.1016/j.csm.2010.09.003 · DOI
- 10.1080/02699052.2016.1235285 · doi:10.1080/02699052.2016.1235285
- 10.1177/0363546517725068 · doi:10.1177/0363546517725068
- 10.1016/j.nic.2017.09.004 · DOI
- 10.1007/s11916-015-0506-z · DOI
- 10.3174/ajnr.A1806 · DOI · Paper page
- 10.1089/neu.2011.1836 · DOI · Paper page
- 10.1097/RMR.0000000000000062 · DOI
- 10.1007/s11682-012-9156-5 · DOI · Paper page
- 10.1097/00042752-200107000-00007 · DOI
- 10.1007/s11682-012-9167-2 · DOI
- 10.1159/000508098 · DOI
- Dunkley BT, 2018, Front Neurol, 9
- 10.1093/braincomms/fcab044 · DOI
- 10.1542/peds.2017-3406 · DOI · Paper page
- 10.3389/fneur.2017.00513 · DOI
- 10.1089/neu.2013.3306 · DOI
- 10.4085/1062-6050-266-17 · DOI
- 10.1186/s12889-020-8244-5 · DOI
- 10.4085/1062-6050-52.1.07 · DOI
- 10.1080/02699050701528454 · DOI
- 10.1017/S1355617715000569 · DOI
- 10.1111/jnp.12179 · DOI
- 10.1089/neu.2015.3948 · DOI
- 10.1111/jon.12726 · DOI
- 10.12788/jhm.3248 · DOI · Paper page
- 1994, Diagnostic and Statistical Manual of Mental Disorders: DSM-IV
- 2013, Diagnostic and Statistical Manual of Mental Disorders: DSM-V
- 10.1136/bmjopen-2013-003550 · DOI
- Gozt A, 2020, Brain Sci, 10
- 10.1089/neu.2017.5486 · DOI
- 10.3109/02699052.2012.729286 · DOI
- 10.4324/9780429028175-10 · doi:10.4324/9780429028175-10
- 10.1111/hex.13138 · DOI
- 10.1097/HTR.0000000000000542 · DOI
- 10.1055/s-0041-1725134 · DOI
- 10.1177/0363546513497567 · DOI · Paper page
- 10.1097/01.NAJ.0000444496.24228.2c · DOI · Paper page
Cited by
Xu, H., Wu, S., Zhan, H., Xu, G., Zhao, J., & Yin, B. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1879109
Metadata
- Authors
- Sheldrake, E., Lam, B., Al-Hakeem, H., Wheeler, A. L., Goldstein, B. I., Dunkley, B. T., Ameis, S., Reed, N., & Scratch, S. E.
- Affiliations
- Bloorview Research Institute, Toronto, Ontario, Canada
- Neuroscience and Mental Health Program, Hospital for Sick Children, Toronto, Ontario, Canada
- Centre for Addiction and Mental Health, Toronto, Toronto, Ontario, Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada
- ORCID
- Sheldrake, Elena
- Venue
- Journal of Child Neurology
- Publisher
- SAGE Publications
- Published
- 2022-11-15
- Volume
- 38
- Issue
- 1-2
- Pages
- 85-102
- ISSN
- 0883-0738
- 1708-8283
- Cited by
- 6
- References
- 6
- Language
- en
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