The DOI matches its Crossref record.
Diffuse axonal injury in mild traumatic brain injury: a diffusion tensor imaging study
Abstract
Object. Diffuse axonal injury (DAI) is a major complication of traumatic brain injury (TBI) that leads to functional and psychological deficits. Although DAI is frequently underdiagnosed by conventional imaging modalities, it can be demonstrated using diffusion tensor imaging. The aim of this study was to assess the presence and extent of DAI in patients with mild TBI. Methods. Forty-six patients with mild TBI and 29 healthy volunteers underwent a magnetic resonance (MR) imaging protocol including: dual—spin echo, fluid-attenuated inversion recovery, T 2-weighted gradient echo, and diffusion tensor imaging sequences. In 20 of the patients, MR imaging was performed at a mean of 4.05 days after injury. In the remaining 26, MR imaging was performed at a mean of 5.7 years after injury. In each case, mean diffusivity and fractional anisotropy were measured using both whole-brain histograms and regions of interest analysis. No differences in any of the histogram-derived measures were found between patients and control volunteers. Compared with controls, a significant reduction of fractional anisotropy was observed in patients' corpus callosum, internal capsule, and centrum semiovale, and there were significant increases of mean diffusivity in the corpus callosum and internal capsule. Neither histogram-derived nor regional diffusion tensor imaging metrics differed between the two groups. Conclusions. Although mean diffusivity and fractional anisotropy abnormalities in these patients with TBI were too subtle to be detected with the whole-brain histogram analysis, they are present in brain areas that are frequent sites of DAI. Because diffusion tensor imaging changes are present at both early and late time points following injury, they may represent an early indicator and a prognostic measure of subsequent brain damage.
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.
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
Cited by
Detection of Blast-Related Traumatic Brain Injury in U.S. Military Personnel
Mac Donald, C. L., Johnson, A. M., Cooper, D., Nelson, E. C., Werner, N. J., Shimony, J. S., Snyder, A. Z., Raichle, M. E., Witherow, J. R., Fang, R., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1008069 · Cited by 599
Mild Traumatic Brain Injury (mTBI) and chronic cognitive impairment: A scoping review
McInnes, K., Friesen, C. L., MacKenzie, D. E., Westwood, D. A., & Boe, S. G. (2017) · PLOS ONE · doi:10.1371/journal.pone.0174847 · Cited by 531
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
Neuroimaging after mild traumatic brain injury: review and meta-analysis
Eierud, C., Craddock, R. C., Fletcher, S., Aulakh, M., King-Casas, B., Kuehl, D., & LaConte, S. M. (2014) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.12.009 · Cited by 524
Bazarian, J. J., Zhong, J., Blyth, B., Zhu, T., Kavcic, V., & Peterson, D. (2007) · Journal of Neurotrauma · doi:10.1089/neu.2007.0241 · Cited by 487
Beer, J. S., John, O. P., Scabini, D., & Knight, R. T. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.6.871 · Cited by 455
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
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
Cubon, V. A., Putukian, M., Boyer, C., & Dettwiler, A. (2011) · Journal of Neurotrauma · doi:10.1089/neu.2010.1430 · Cited by 297
Mild traumatic brain injury and diffuse axonal injury in swine
Browne, K. D., Chen, X.-H., Meaney, D. F., & Smith, D. H. (2011) · Journal of Neurotrauma · doi:10.1089/neu.2011.1913 · Cited by 248
Wäljas, M., Iverson, G. L., Lange, R. T., Hakulinen, U., Dastidar, P., Huhtala, H., Liimatainen, S., Hartikainen, K., & Öhman, J. (2015) · Journal of Neurotrauma · doi:10.1089/neu.2014.3339 · Cited by 247
Traumatic brain injury as a disorder of brain connectivity
Hayes, J. P., Bigler, E. D., & Verfaellie, M. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000740 · Cited by 242
Diffusion tensor imaging studies of mild traumatic brain injury: a meta-analysis
Aoki, Y., Inokuchi, R., Gunshin, M., Yahagi, N., & Suwa, H. (2012) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2012-302742 · Cited by 237
Tollard, E., Galanaud, D., Perlbarg, V., Sanchez-Pena, P., Le Fur, Y., Abdennour, L., Cozzone, P., Lehericy, S., Chiras, J., & Puybasset, L. (2009) · Critical Care Medicine · doi:10.1097/ccm.0b013e31819cf050 · Cited by 122
Churchill, N. W., Caverzasi, E., Graham, S. J., Hutchison, M. G., & Schweizer, T. A. (2017) · Human Brain Mapping · doi:10.1002/hbm.23658 · Cited by 104
Wong, V. S., & Langley, B. (2016) · Neuroscience Letters · doi:10.1016/j.neulet.2016.04.009 · Cited by 85
Tremblay, S., de Beaumont, L., Lassonde, M., & Théoret, H. (2011) · Journal of Neurotrauma · doi:10.1089/neu.2010.1615 · Cited by 86
Churchill, N. W., Caverzasi, E., Graham, S. J., Hutchison, M. G., & Schweizer, T. A. (2019) · Human Brain Mapping · doi:10.1002/hbm.24500 · Cited by 80
Sabir, M., Gaudreault, P.-O., Freyburger, M., Massart, R., Blanchet-Cohen, A., Jaber, M., Gosselin, N., & Mongrain, V. (2015) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2014.12.023 · Cited by 47
Noain, D., Büchele, F., Schreglmann, S. R., Valko, P. O., Gavrilov, Y. V., Morawska, M. M., Imbach, L. L., & Baumann, C. R. (2018) · Journal of Neurotrauma · doi:10.1089/neu.2017.5067 · Cited by 21
Understanding individual variability in symptoms and recovery following mTBI: a role for TMS-EEG
Coyle, H. L., Ponsford, J., & Hoy, K. E. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.027 · Cited by 21
Post-Traumatic Hypopituitarism: A Neglected Consequence of Traumatic Brain Injury
Kałas, M., Miksiewicz, M., Kowalke, A., & Siemiński, M. (2023) · Neuroendocrinology · doi:10.1159/000529327 · Cited by 20
Metadata
- Authors
- Inglese, M., Makani, S., Johnson, G., Cohen, B. A., Silver, J. A., Gonen, O., & Grossman, R. I.
- Venue
- Journal of Neurosurgery
- Published
- 2005-08
- Volume
- 103
- Issue
- 2
- Pages
- 298-303
- ISSN
- 0022-3085 (ISSN-L)
- OpenAlex
- W2109806433
- Cited by
- 580
- References
- 0
- FWCI
- 11.56
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.