The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Diffusion tensor imaging during recovery from severe traumatic brain injury and relation to clinical outcome: a longitudinal study
Open accessAbstract
Diffusion tensor imaging (DTI) has been proposed as a sensitive biomarker of traumatic white matter injury, which could potentially serve as a tool for prognostic assessment and for studying microstructural changes during recovery from traumatic brain injury (TBI). However, there is a lack of longitudinal studies on TBI that follow DTI changes over time and correlate findings with long-term clinical outcome. We performed a prospective longitudinal study of 30 adult patients admitted for subacute rehabilitation following severe traumatic brain injury. DTI and conventional MRI were acquired at mean 8 weeks (5–11 weeks), and repeated in 23 of the patients at mean 12 months (9–15 months) post-trauma. Using a region-of-interest-based approach, DTI parameters were compared to those of healthy matched controls, scanned during the same time period and rescanned with a similar interval as that of patients. At the initial scan, fractional anisotropy was reduced in all the investigated white matter regions in patients compared to controls (P ≤ 0.01) due to decreased diffusivity parallel (λ∥) and increased diffusivity perpendicular (λ⊥) to axonal fibre direction. Fractional anisotropy in the cerebral peduncle correlated with ∼1 year Glasgow outcome scale score (r = 0.60, P<0.001) and in this sample predicted dichotomized outcome with 76% accuracy when taken alone, and with 100% accuracy in combination with clinical evaluation by functional independence measure at the time of the first scan. At follow-up DTI, fractional anisotropy in patients had increased in the internal capsule and in centrum semiovale (P ≤ 0.01) due to an interval increase of λ∥ with unchanged λ⊥. In these regions, fractional anisotropy and λ∥ reached normal or supranormal levels, primarily in patients with favourable outcome. In the cerebral peduncle and in corpus callosum, λ∥ and λ⊥ both increased during the scan interval and, particularly in patients with unfavourable outcome, fractional anisotropy remained depressed. No significant DTI parameter changes over time were found in controls, or in CSF of patients. These findings support that DTI is a clinically relevant biomarker in TBI, which may have prognostic value and also might serve as a tool for revealing changes in the neural tissue during recovery.
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
ASSESSMENT OF COMA AND IMPAIRED CONSCIOUSNESS
Teasdale, G., & Jennett, B. (1974) · The Lancet · doi:10.1016/s0140-6736(74)91639-0 · Cited by 13,215
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
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
Tuch, D. S. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20279 · Cited by 1,880
Thomalla, G., Glauche, V., Koch, M. A., Beaulieu, C., Weiller, C., & Röther, J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.041 · Cited by 438 · cited 2×
“Regardless of the exact proportionate contribution of these pathological processes, the observed DTI pattern is consistent with Wallerian or Wallerian-like degeneration (Pierpaoli et al., 2001; Thomalla et al., 2004), most likely reflecting consequences of DAI and/or secondary hypoxic–ischaemic injury.”
Result
Cited by
The far-reaching scope of neuroinflammation after traumatic brain injury
Simon, D. W., McGeachy, M. J., Bayır, H., Clark, R. S. B., Loane, D. J., & Kochanek, P. M. (2017) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.13 · Cited by 1,190
Recovery of consciousness after brain injury: a mesocircuit hypothesis
Schiff, N. D. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2009.11.002 · Cited by 733
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
Budde, M. D., Janes, L., Gold, E., Turtzo, L. C., & Frank, J. A. (2011) · Brain · doi:10.1093/brain/awr161 · Cited by 408
Metadata
- Authors
- Sidaros, A., Engberg, A. W., Sidaros, K., Liptrot, M. G., Herning, M., Petersen, P., Paulson, O. B., Jernigan, T. L., & Rostrup, E.
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-02-01
- Volume
- 131
- Issue
- 2
- Pages
- 559-572
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2008552409
- Cited by
- 526
- References
- 5
- FWCI
- 17.78
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Diffusion tensor imaging during recovery from severe traumatic brain injury and relation to clinical outcome: a longitudinal study. https://app.cochat.ai/papers/10.1093/brain/awm294
- The paper
- Sidaros, A., Engberg, A. W., Sidaros, K., Liptrot, M. G., Herning, M., Petersen, P., Paulson, O. B., Jernigan, T. L., & Rostrup, E. (2008). Diffusion tensor imaging during recovery from severe traumatic brain injury and relation to clinical outcome: a longitudinal study. Brain. https://doi.org/10.1093/brain/awm294
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.