The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
White matter integrity and cognition in chronic traumatic brain injury: a diffusion tensor imaging study
Abstract
Traumatic brain injury (TBI) is a serious public health problem. Even injuries classified as mild, the most common, can result in persistent neurobehavioural impairment. Diffuse axonal injury is a common finding after TBI, and is presumed to contribute to outcomes, but may not always be apparent using standard neuroimaging. Diffusion tensor imaging (DTI) is a more recent method of assessing axonal integrity in vivo. The primary objective of the current investigation was to characterize white matter integrity utilizing DTI across the spectrum of chronic TBI of all severities. A secondary objective was to examine the relationship between white matter integrity and cognition. Twenty mild, 17 moderate to severe TBI and 18 controls underwent DTI and neuropsychological testing. Fractional anisotropy, axial diffusivity and radial diffusivity were calculated from the DTI data. Fractional anisotropy was the primary measure of white matter integrity. Region of interest analysis included anterior and posterior corona radiata, cortico-spinal tracts, cingulum fibre bundles, external capsule, forceps minor and major, genu, body and splenium of the corpus callosum, inferior fronto-occipital fasciculus, superior longitudinal fasciculus and sagittal stratum. Cognitive domain scores were calculated from executive, attention and memory testing. Decreased fractional anisotropy was found in all 13 regions of interest for the moderate to severe TBI group, but only in the cortico-spinal tract, sagittal stratum and superior longitudinal fasciculus for the mild TBI group. White Matter Load (a measure of the total number of regions with reduced FA) was negatively correlated with all cognitive domains. Analysis of radial and axial diffusivity values suggested that all severities of TBI can result in a degree of axonal damage, while irreversible myelin damage was only apparent for moderate to severe TBI. The present data emphasize that white matter changes exist on a spectrum, including mild TBI. An index of global white matter neuropathology (White Matter Load) was related to cognitive function, such that greater white matter pathology predicted greater cognitive deficits. Mechanistically, mild TBI white matter changes may be primarily due to axonal damage as opposed to myelin damage. The more severe injuries impact both. DTI provides an objective means for determining the relationship of cognitive deficits to TBI, even in cases where the injury was sustained years prior to the evaluation.
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
Cites
Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582
Paced Auditory Serial-Addition Task: A Measure of Recovery from Concussion
Gronwall, D. M. A. (1977) · Perceptual and Motor Skills · doi:10.2466/pms.1977.44.2.367 · Cited by 2,395 · cited 5×
“M SEM M SEM M SEM MTBI M/STBI M/STBI Executive measures executive domain 0.00 0.15 0.37 0.14 0.87 0.14 <0.001 0.075 <0.001 0.016 Tower of London (total moves) 101.89 4.03 98.20 3.49 99.65 3.24 0.764 0.491 0.670 0.766 Stroop color-word [age-corrected (s)] 52.22 2.74 45.30 2.28 38.12 2.98 0.002 0.059 0.001 0.060 PASAT t…”
MethodInfluentialDefinition of mild traumatic brain injury
&NA;, &. (1993) · Journal of Head Trauma Rehabilitation · doi:10.1097/00001199-199309000-00010 · Cited by 1,910
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738
The epidemiology of traumatic brain injury: a review
Bruns, J., & Hauser, W. A. (2003) · Epilepsia · doi:10.1046/j.1528-1157.44.s10.3.x · Cited by 1,271
Serial MRI and neurobehavioural findings after mild to moderate closed head injury.
Levin, H. S., Williams, D. H., Eisenberg, H. M., High, W. M., & Guinto, F. C. (1992) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.55.4.255 · Cited by 245
Cited by
Chronic traumatic encephalopathy in athletes: Progressive tauopathy after repetitive head injury
McKee, A. C., Cantu, R. C., Nowinski, C. J., Hedley-Whyte, E. T., Gavett, B. E., Budson, A. E., Santini, V. E., Lee, H.-S., Kubilus, C. A., & Stern, R. A. (2009) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e3181a9d503 · Cited by 2,295
Semple, B. D., Blomgren, K., Gimlin, K., Ferriero, D. M., & Noble-Haeusslein, L. J. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.04.001 · Cited by 2,132
The New Neurometabolic Cascade of Concussion
Giza, C. C., & Hovda, D. A. (2014) · Neurosurgery · doi:10.1227/neu.0000000000000505 · Cited by 1,353
Salience network integrity predicts default mode network function after traumatic brain injury
Bonnelle, V., Ham, T. E., Leech, R., Kinnunen, K. M., Mehta, M. A., Greenwood, R. J., & Sharp, D. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113455109 · Cited by 606
The chronic and evolving neurological consequences of traumatic brain injury
Wilson, L., Stewart, W., Dams-O'Connor, K., Diaz-Arrastia, R., Horton, L., Menon, D. K., & Polinder, S. (2017) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30279-x · Cited by 607
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
Alzheimer's disease as homeostatic responses to age-related myelin breakdown
Bartzokis, G. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.08.007 · Cited by 546
Microglia/Macrophage Polarization Dynamics in White Matter after Traumatic Brain Injury
Wang, G., Zhang, J., Hu, X., Zhang, L., Mao, L., Jiang, X., Liou, A. K.-F., Leak, R. K., Gao, Y., & Chen, J. (2013) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2013.146 · Cited by 473
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
De Beaumont, L., Theoret, H., Mongeon, D., Messier, J., Leclerc, S., Tremblay, S., Ellemberg, D., & Lassonde, M. (2009) · Brain · doi:10.1093/brain/awn347 · Cited by 416
Exploring the convergence of posttraumatic stress disorder and mild traumatic brain injury
Stein, M. B., & McAllister, T. W. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.08101604 · Cited by 391
Depression and cognitive complaints following mild traumatic brain injury
Silver, J. M., McAllister, T. W., & Arciniegas, D. B. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.08111676 · Cited by 315
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
Current clinical applications of diffusion-tensor imaging in neurological disorders
Tae, W.-S., Ham, B.-J., Pyun, S.-B., Kang, S.-H., & Kim, B.-J. (2018) · Journal of Clinical Neurology · doi:10.3988/jcn.2018.14.2.129 · Cited by 302
Molecular mechanisms of cognitive dysfunction following traumatic brain injury
Walker, K. R., & Tesco, G. (2013) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2013.00029 · Cited by 265
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
Neurometabolic changes in the acute phase after sports concussions correlate with symptom severity
Henry, L. C., Tremblay, S., Boulanger, Y., Ellemberg, D., & Lassonde, M. (2010) · Journal of Neurotrauma · doi:10.1089/neu.2009.0962 · Cited by 208
Xie, M., Tobin, J. E., Budde, M. D., Chen, C.-I., Trinkaus, K., Cross, A. H., McDaniel, D. P., Song, S.-K., & Armstrong, R. C. (2010) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e3181e3de90 · Cited by 175
Altered Bidirectional Plasticity and Reduced Implicit Motor Learning in Concussed Athletes
De Beaumont, L., Tremblay, S., Poirier, J., Lassonde, M., & Theoret, H. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr096 · Cited by 133
Caeyenberghs, K., Leemans, A., Heitger, M. H., Leunissen, I., Dhollander, T., Sunaert, S., Dupont, P., & Swinnen, S. P. (2012) · Brain · doi:10.1093/brain/aws048 · Cited by 129
Neuropsychological Sequelae of PTSD and TBI Following War Deployment among OEF/OIF Veterans
Dolan, S., Martindale, S., Robinson, J., Kimbrel, N. A., Meyer, E. C., Kruse, M. I., Morissette, S. B., Young, K. A., & Gulliver, S. B. (2012) · Neuropsychology Review · doi:10.1007/s11065-012-9190-5 · Cited by 126
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
Cognitive performances associate with measures of white matter integrity in bipolar disorder
Poletti, S., Bollettini, I., Mazza, E., Locatelli, C., Radaelli, D., Vai, B., Smeraldi, E., Colombo, C., & Benedetti, F. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.12.030 · Cited by 102
Axonal degeneration in tauopathies: disease relevance and underlying mechanisms
Kneynsberg, A., Combs, B., Christensen, K., Morfini, G., & Kanaan, N. M. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00572 · Cited by 102
Tremblay, S., de Beaumont, L., Lassonde, M., & Théoret, H. (2011) · Journal of Neurotrauma · doi:10.1089/neu.2010.1615 · Cited by 86
Military-related risk factors in female veterans and risk of dementia
Yaffe, K., Lwi, S. J., Hoang, T. D., Xia, F., Barnes, D. E., Maguen, S., & Peltz, C. B. (2019) · Neurology · doi:10.1212/wnl.0000000000006778 · Cited by 78
Weis, C. N., Webb, E. K., deRoon-Cassini, T. A., & Larson, C. L. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.07.023 · Cited by 75
Exploring new routes for neuroprotective drug development in traumatic brain injury
Janowitz, T., & Menon, D. K. (2010) · Science Translational Medicine · doi:10.1126/scitranslmed.3000330 · Cited by 74
Elliott, M., & Parente, F. (2014) · Brain Injury · doi:10.3109/02699052.2014.934921 · Cited by 74
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
Gao, S., Chen, Y., Sang, F., Yang, Y., Xia, J., Li, X., Zhang, J., Chen, K., & Zhang, Z. (2019) · Diabetes · doi:10.2337/db19-0233 · Cited by 46
Davis, M. T., DellaGiogia, N., Maruff, P., Pietrzak, R. H., & Esterlis, I. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01327-5 · Cited by 37
Shishido, H., Kishimoto, Y., Kawai, N., Toyota, Y., Ueno, M., Kubota, T., Kirino, Y., & Tamiya, T. (2016) · Neuroscience Letters · doi:10.1016/j.neulet.2016.06.066 · Cited by 38
Executive Functioning of Combat Mild Traumatic Brain Injury
Gaines, K. D., Soper, H. V., & Berenji, G. R. (2016) · Applied Neuropsychology: Adult · doi:10.1080/23279095.2015.1012762 · Cited by 24
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
Sun, J., Zhu, Z., Chen, K., Wei, D., Li, X., Li, H., Zhang, J., Chen, X., Chen, Y., & Zhang, Z. (2020) · Aging · doi:10.18632/aging.103367 · Cited by 16
Metadata
- Authors
- Kraus, M. F., Susmaras, T., Caughlin, B. P., Walker, C. J., Sweeney, J. A., & Little, D. M.
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-10-01
- Volume
- 130
- Issue
- 10
- Pages
- 2508-2519
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2129285116
- Cited by
- 994
- References
- 7
- FWCI
- 33.71
- 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.