The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Gray Matter Abnormalities in Pediatric Mild Traumatic Brain Injury
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“Additionally, increased fractional anisotropy in the left temporal cortex (reflecting gray matter diffusion alterations rather than white matter fibers) and right thalamus during the subacute injury phase was observed (Mayer et al., 2015) (Table 3).”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Mayer et al., 2015
In the citing paper
“Additionally, increased fractional anisotropy in the left temporal cortex (reflecting gray matter diffusion alterations rather than white matter fibers) and right thalamus during the subacute injury phase was observed (Mayer et al., 2015) (Table 3).”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Mayer et al., 2015
In the citing paper
“Additionally, bilateral frontal atrophy accompanied by left temporal, parietal, and occipital cortical atrophy at 4 months post-injury was identified (Mayer et al., 2015).”
From A systematic review of brain structural and functional alterations in pediatric mild traumatic brain injury (2026) · cites this paper as Mayer et al., 2015
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Cites
Diffusion tensor imaging of acute mild traumatic brain injury in adolescents
Wilde, E. A., McCauley, S. R., Hunter, J. V., Bigler, E. D., Chu, Z., Wang, Z. J., Hanten, G. R., Troyanskaya, M., Yallampalli, R., Li, X., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000305961.68029.54 · Cited by 525
A prospective diffusion tensor imaging study in mild traumatic brain injury
Mayer, A. R., Ling, J., Mannell, M. V., Gasparovic, C., Phillips, J. P., Doezema, D., Reichard, R., & Yeo, R. A. (2010) · Neurology · doi:10.1212/wnl.0b013e3181d0ccdd · Cited by 459
Self-citationBudde, M. D., Janes, L., Gold, E., Turtzo, L. C., & Frank, J. A. (2011) · Brain · doi:10.1093/brain/awr161 · Cited by 408 · cited 1×
“Animal studies suggest that increased gray matter FA may result from the palisading of protoplasmic astrocytes and the subsequent formation of glial scars, occurring asymmetrically in the direction of the lesion.(17,19) Alternatively, increased FA and/or”
Neuropathology of mild traumatic brain injury: relationship to neuroimaging findings
Bigler, E. D., & Maxwell, W. L. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-011-9145-0 · Cited by 311 · cited 4×
“Similarly, in adult mTBI, atrophy has been reported to progress over time, possibly due to neuronal or neuropil loss later in the course of mTBI.(27,30,32) Previous reports of atrophy following pmTBI have been mixed, with one study reporting decreased hippocampal volume and increased cerebrospinal fluid 10 years post-…”
InfluentialKorgaonkar, M. S., Grieve, S. M., Koslow, S. H., Gabrieli, J. D. E., Gordon, E., & Williams, L. M. (2011) · Human Brain Mapping · doi:10.1002/hbm.21178 · Cited by 205
Diffusion Tensor Imaging Analysis of Frontal Lobes in Pediatric Traumatic Brain Injury
Oni, M. B., Wilde, E. A., Bigler, E. D., McCauley, S. R., Wu, T. C., Yallampalli, R., Chu, Z., Li, X., Hunter, J. V., Vasquez, A. C., et al. (2010) · Journal of Child Neurology · doi:10.1177/0883073809356034 · Cited by 73
Research works printed but not linked: 50
- 10.1016/j.ccc.2012.11.004 · DOI
- 10.15620/cdc.5571 · DOI · Paper page
- 10.3389/fnhum.2014.00139 · DOI
- 10.1016/j.ijdevneu.2010.12.003 · DOI
- 10.1001/archpediatrics.2011.1082 · DOI
- 10.1089/neu.2009.1058 · DOI
- 10.1037/0894-4105.22.3.357 · DOI
- 10.1089/neu.2010.1555 · DOI
- 10.1097/RCT.0b013e318033df1a · DOI
- 10.1016/j.acn.2007.03.004 · DOI · Paper page
- 10.1089/neu.2009.1110 · DOI
- 10.1523/JNEUROSCI.3379-12.2012 · DOI · Paper page
- 10.1089/neu.2012.2818 · DOI
- 10.1542/peds.2011-2083 · DOI · Paper page
- 10.1089/neu.2010.1739 · DOI
- 10.1016/j.neuroimage.2011.07.050 · DOI · Paper page
- 10.1371/journal.pone.0066205 · DOI
- 10.3174/ajnr.A3358 · DOI
- 10.1212/01.wnl.0000437302.36064.b1 · DOI
- 10.1212/WNL.0b013e3181cff5d5 · DOI
- 10.1523/JNEUROSCI.18-15-05663.1998 · DOI · Paper page
- 10.1016/S0006-8993(01)02905-5 · DOI
- 10.1001/archneurol.2010.149 · DOI
- 10.1016/j.cortex.2012.02.011 · DOI
- 10.1037/a0032837 · DOI
- 10.1148/radiol.13122542 · DOI
- Hofman P.A., 2001, A.J.N.R. Am. J. Neuroradiol., 22, 441
- 10.3109/02699052.2012.694570 · DOI
- 10.1111/j.1749-6632.2010.05720.x · DOI
- 10.1093/jnen/62.3.272 · DOI
- 10.1097/01.jnen.0000229241.28619.75 · DOI
- 10.1002/hbm.21192 · DOI
- 10.1089/neu.2012.2395 · DOI · Paper page
- 10.1016/j.neuroimage.2006.01.021 · DOI · Paper page
- 10.1016/j.neuroimage.2012.02.084 · DOI · Paper page
- 10.1016/j.neuroimage.2011.10.018 · DOI · Paper page
- 10.1115/1.1691446 · DOI · Paper page
- 10.1038/jcbfm.2013.11 · DOI
- 10.1089/neu.2005.22.857 · DOI
- 10.1016/j.neuroimage.2011.06.006 · DOI · Paper page
- 10.1002/mrm.22055 · DOI · Paper page
- 10.1007/978-3-540-71512-2_16 · DOI
- 10.1016/j.neuroimage.2007.03.053 · DOI · Paper page
- 10.1016/j.bbr.2012.01.002 · DOI
- Giza C.C., 2001, J. Athl. Train., 36, 228
- 10.1542/peds.2013-2125 · DOI · Paper page
- 10.1007/s11065-013-9240-7 · DOI
- 10.1001/jama.290.19.2556 · DOI · Paper page
- Grieve S.M., 2007, A.J.N.R. Am. J. Neuroradiol., 28, 226
- 10.1097/HTR.0b013e3181a40590 · 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
- Mayer, A. R., Hanlon, F. M., & Ling, J. M.
- Affiliations
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Albuquerque, New Mexico.
- Venue
- Journal of Neurotrauma
- Publisher
- SAGE Publications
- Published
- 2015-05-15
- Volume
- 32
- Issue
- 10
- Pages
- 723-730
- ISSN
- 0897-7151
- 1557-9042
- Cited by
- 64
- References
- 6
- Language
- en
- Licence
- www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/ (tdm)
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- Mayer, A. R., Hanlon, F. M., & Ling, J. M. (2015). Gray Matter Abnormalities in Pediatric Mild Traumatic Brain Injury. Journal of Neurotrauma. https://doi.org/10.1089/neu.2014.3534
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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.