The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Post-Acute Cortical Thickness in Children with Mild Traumatic Brain Injury versus Orthopedic Injury
Abstract
Studies of brain morphometry may illuminate the effects of pediatric mild traumatic brain injury (TBI; e.g., concussion). However, no published studies have examined cortical thickness in the early injury phases of pediatric mild TBI using an appropriate comparison group. The current study used an automated approach (i.e., FreeSurfer) to determine whether cortical thickness differed in children following a mild TBI or a mild orthopedic injury (OI), and to examine whether post-acute cortical thickness predicted post-acute and chronic post-concussive symptoms (PCS). Children ages 8.00-16.99 years with mild TBI ( n = 136) or OI ( n = 70) were recruited at emergency department visits to two children's hospitals, during which parents rated children's pre-injury symptoms retrospectively. Children completed a post-acute (3–24 days post-injury) assessment, which included a 3 Tesla MRI, and 3- and 6-month post-injury assessments. Parents and children rated PCS at each assessment. Cortical thickness was estimated using FreeSurfer. Linear mixed effects and multi-variable negative binomial regression models were used to test study aims, with false discovery rate (FDR) correction for multiple comparisons. Groups differed significantly on left parietal cortical thickness (TBI > OI) after FDR correction. Cortical thickness also varied by brain subregion and age, but not sex. Groups differed significantly on PCS post-acutely (TBI > OI), but not at 3 or 6 months. Right frontal thickness was positively related to post-acute PCS in both groups. Right cingulum thickness predicted chronic PCS in the OI group only. Results highlight the complexity of predicting outcomes of pediatric mild TBI from post-acute neuroimaging biomarkers.
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.
Integrity signals
Registry
Cites
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.
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?
In the citing paper
“(3) Greater right frontal cortical thickness was associated with higher parent-reported post-acute somatic post-concussive symptoms (PCS) across both groups.”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Ware et al. (2020)
In the citing paper
“Right frontal cortical thickness was found to correlate with acute somatic PCS, whereas right temporal and inferior frontal thickness was associated with PCS (Ware et al., 2020).”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Ware et al., 2020
In the citing paper
“(5) The association between right cingulate thickness and chronic cognitive symptoms was significant only in the orthopedic injury group, suggesting a differential relationship based on injury type.”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Ware et al. (2020)
In the citing paper
“(2) Age was negatively associated with cortical thickness in bilateral frontal, cingulate, parietal, and occipital cortices, indicating typical age-related thinning across both injury groups.”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Ware et al. (2020)
In the citing paper
“(1) mTBI group exhibited significantly greater cortical thickness in the left parietal region compared to the orthopedic injury group during the post-acute phase.”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Ware et al. (2020)
5 more claims about this paper
Create a free account to see every claim other papers make about this one.
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
Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature
Destrieux, C., Fischl, B., Dale, A., & Halgren, E. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.010 · Cited by 2,956
Neuroanatomical Assessment of Biological Maturity
Brown, T. T., Kuperman, J. M., Chung, Y., Erhart, M., McCabe, C., Hagler, D. J., Venkatraman, V. K., Akshoomoff, N., Amaral, D. G., Bloss, C. S., et al. (2012) · Current Biology · doi:10.1016/j.cub.2012.07.002 · Cited by 332
Giedd, J. N., Raznahan, A., Alexander-Bloch, A., Schmitt, E., Gogtay, N., & Rapoport, J. L. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.236 · Cited by 297
Adelson, P. D., Pineda, J., Bell, M. J., Abend, N. S., Berger, R. P., Giza, C. C., Hotz, G., & Wainwright, M. S. (2012) · Journal of Neurotrauma · doi:10.1089/neu.2011.1952 · Cited by 93
Research works printed but not linked: 64
- 10.1093/arclin/acp006 · DOI · Paper page
- Gilchrist J., , Thomas K., , Xu L., , McGuire L.C., , and Coronado V.G. (2011). Nonfatal traumatic brain injuries related to sports and recreation activities among persons aged ≤19 years—United States, 2001–2009. MMWR, 60, 1337–1342.
- 10.1016/j.neubiorev.2018.08.002 · DOI
- 10.1523/JNEUROSCI.1798-04.2004 · DOI · Paper page
- 10.1089/neu.2014.3534 · DOI · Paper page
- 10.1089/neu.2016.4502 · DOI · Paper page
- 10.1016/j.ijpsycho.2018.07.474 · DOI · Paper page
- 10.1089/neu.2017.5513 · DOI
- 10.3109/02699052.2015.1011234 · DOI
- 10.1007/s11682-017-9673-3 · DOI
- Bigler E.D. (2015). Neuropathology of mild traumatic brain injury: correlation to neurocognitive and neurobehavioral findings., in: Brain Neurotrauma: Molecular, Neuropsychological, and Rehabilitation Aspects., Kobeissy, F.H. (ed). CRC Press/Taylor & Francis: Boca Raton, FL.
- 10.1136/bjsports-2016-097393 · DOI
- 10.1016/j.jpeds.2014.10.016 · DOI
- 10.1097/00001199-199804000-00005 · DOI · Paper page
- 10.1017/S1355617708090188 · DOI
- 10.1016/j.nicl.2019.102106 · DOI
- 10.3109/02699052.2013.793398 · DOI
- 10.1097/01241398-199501000-00010 · doi:10.1097/01241398-199501000-00010
- 10.1097/BPO.0b013e3181d8fa8c · DOI
- 10.1097/BLO.0b013e31805002da · DOI
- 10.1080/16501960410023877 · DOI · Paper page
- 10.1016/S0140-6736(74)91639-0 · DOI · Paper page
- 10.1097/00005373-198501000-00010 · DOI · Paper page
- 10.1016/j.ridd.2007.05.002 · DOI
- 10.1016/0049-089X(85)90008-0 · DOI · Paper page
- Wechsler D. (2011). Wechsler Abbreviated Scale of Intelligence–2nd Edition (WASI-II), manual. Pearson: San Antonio, TX.
- 10.1080/09297049.2010.495058 · DOI
- 10.1089/neu.2011.1927 · DOI
- 10.1002/jnr.24142 · DOI · Paper page
- Mayer A.R., , Cohen D.M., , Wertz C.J., , Dodd A.B., , Shoemaker J., , Pluto C., , Zumberge N.A., , Park G., , Bangert B.A., , Lin C., , Minich N.M., , Bacevice A.M., , Bigler E.D., , Campbell R.A., , Hanlon F.M., , Meier T.B., , Oglesbee S.J., , Phillips J.P., , Pottenger A., , Shaff N.A., , Taylor H.G., , Yeo R.A., , Arbogast K.B., , Leddy J.J., , Master C.L., , Mannix R., , Zemek R.L., , and Yeates K.O. (2019). Radiologic common data elements rates in pediatric mild traumatic brain injury. Neurology, 94, e241–e253.
- 10.1016/j.neuroimage.2006.01.015 · DOI · Paper page
- Avants B.B., , Tustison N., , and Song G. (2008). Advanced normalization tools (ANTS). OR Insight. 1–35.
- 10.1016/j.neuroimage.2012.01.021 · DOI · Paper page
- Kuznetsova A., , Brockhoff P.B., , and Christensen R.H.B. (2017). lmerTest Package: Tests in linear mixed effects models. J. Stat. Software. 82.
- Bates D., , Mächler M., , Bolker B., , and Walker S. (2015). Fitting linear mixed-effects models using lme4. J. Stat. Software. 67.
- 10.1111/j.2517-6161.1995.tb02031.x · DOI · Paper page
- 10.3758/BRM.41.4.1149 · DOI · Paper page
- 10.1227/NEU.0000000000000505 · DOI · Paper page
- 10.1089/neu.2014.3492 · DOI
- Blatter D.D., , Bigler E.D., , Gale S.D., , Johnson S.C., , Anderson C.V., , Burnett B.M., , Ryser D., , Macnamara S.E., , and Bailey B.J. (1997). MR-based brain and cerebrospinal fluid measurement after traumatic brain injury: correlation with neuropsychological outcome. A.J.N.R. Am. J. Neuroradiol. 18, 1–10.
- 10.1007/s007010050286 · DOI
- 10.1093/cercor/bhv301 · DOI
- 10.1080/02699052.2018.1494853 · DOI
- 10.1371/journal.pone.0156545 · DOI
- 10.1016/j.acn.2005.02.005 · DOI
- 10.1371/journal.pone.0038234 · DOI · Paper page
- 10.1016/j.neuroimage.2015.10.010 · DOI · Paper page
- 10.1016/j.neuroimage.2014.10.005 · DOI
- 10.1016/j.dcn.2015.07.008 · DOI
- 10.1093/cercor/bhl066 · DOI · Paper page
- 10.1016/j.neuron.2011.09.028 · DOI · Paper page
- 10.1016/j.ijpsycho.2018.07.474 · DOI · Paper page
- Backhausen L.L., , Herting M.M., , Buse J., , Roessner V., , Smolka M.N., , and Vetter N.C. (2016). Quality control of structural MRI images applied using FreeSurfer—a hands-on workflow to rate motion artifacts. Front. Neurosci. 10.
- 10.1080/02699052.2018.1494855 · DOI
- 10.1016/j.neuroimage.2011.02.029 · DOI
- 10.1016/j.neuroimage.2005.09.046 · DOI · Paper page
- 10.1016/j.acra.2006.05.001 · DOI
- 10.1109/TMI.2006.891486 · DOI · Paper page
- 10.1016/j.neuroimage.2014.12.006 · DOI · Paper page
- 10.1007/s00247-016-3677-9 · doi:10.1007/s00247-016-3677-9
- 10.1016/j.neuroimage.2010.06.017 · DOI
- 10.1016/j.biopsych.2005.02.014 · DOI
- 10.1006/nimg.2002.1076 · DOI
- 10.1016/j.nicl.2017.03.006 · DOI
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
- Ware, A. L., Goodrich-Hunsaker, N. J., Lebel, C., Shukla, A., Wilde, E. A., Abildskov, T. J., Bigler, E. D., Cohen, D. M., Mihalov, L. K., Bacevice, A., Bangert, B. A., Taylor, H. G., & Yeates, K. O.
- Affiliations
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada.
- Department of Neurology, University of Utah, Salt Lake City, Utah, USA.
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.
- Abigail Wexner Research Institute at Nationwide Children's Hospital, and Department of Pediatrics, Ohio State University, Columbus, Ohio, USA.
- Department of Pediatrics, Case Western Reserve University, Cleveland, Ohio, USA.
- Venue
- Journal of Neurotrauma
- Publisher
- SAGE Publications
- Published
- 2020-08-14
- Volume
- 37
- Issue
- 17
- Pages
- 1892-1901
- ISSN
- 0897-7151
- 1557-9042
- Cited by
- 24
- References
- 4
- Language
- en
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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: Post-Acute Cortical Thickness in Children with Mild Traumatic Brain Injury versus Orthopedic Injury. https://app.cochat.ai/papers/10.1089/neu.2019.6850
- The paper
- Ware, A. L., Goodrich-Hunsaker, N. J., Lebel, C., Shukla, A., Wilde, E. A., Abildskov, T. J., Bigler, E. D., Cohen, D. M., Mihalov, L. K., Bacevice, A., Bangert, B. A., Taylor, H. G., & Yeates, K. O. (2020). Post-Acute Cortical Thickness in Children with Mild Traumatic Brain Injury versus Orthopedic Injury. Journal of Neurotrauma. https://doi.org/10.1089/neu.2019.6850
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.
