Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jul 29;26(15):7333.
doi: 10.3390/ijms26157333.

Sensitivity of Diffusion Tensor Imaging for Assessing Injury Severity in a Rat Model of Isolated Diffuse Axonal Injury: Comparison with Histology and Neurological Assessment

Affiliations

Sensitivity of Diffusion Tensor Imaging for Assessing Injury Severity in a Rat Model of Isolated Diffuse Axonal Injury: Comparison with Histology and Neurological Assessment

Vladislav Zvenigorodsky et al. Int J Mol Sci. .

Abstract

Diffuse axonal brain injury (DAI) is a common, debilitating consequence of traumatic brain injury, yet its detection and severity grading remain challenging in clinical and experimental settings. This study evaluated the sensitivity of diffusion tensor imaging (DTI), histology, and neurological severity scoring (NSS) in assessing injury severity in a rat model of isolated DAI. A rotational injury model induced mild, moderate, or severe DAI in male and female rats. Neurological deficits were assessed 48 h after injury via NSS. Magnetic resonance imaging, including DTI metrics, such as fractional anisotropy (FA), relative anisotropy (RA), axial diffusivity (AD), mean diffusivity (MD), and radial diffusivity (RD), was performed prior to tissue collection. Histological analysis used beta amyloid precursor protein immunohistochemistry. Sensitivity and variability of each method were compared across brain regions and the whole brain. Histology was the most sensitive method, requiring very small groups to detect differences. Anisotropy-based MRI metrics, especially whole-brain FA and RA, showed strong correlations with histology and NSS and demonstrated high sensitivity with low variability. NSS identified injury but required larger group sizes. Diffusivity-based MRI metrics, particularly RD, were less sensitive and more variable. Whole-brain FA and RA were the most sensitive MRI measures of DAI severity and were comparable to histology in moderate and severe groups. These findings support combining NSS and anisotropy-based DTI for non-terminal DAI assessment in preclinical studies.

Keywords: axonal injury; diffusion tensor imaging; histology; magnetic resonance imaging; neurological assessment; traumatic brain injury.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Quantification of β-APP-positive axonal profiles across different brain regions in sham-operated, mild, moderate, and severe DAI groups. Graphs show the number of β-APP-positive axons per mm2 in the (a) thalamus, (b) hypothalamus, (c) hippocampus, (d) neocortex, and (e) corpus callosum. All DAI groups exhibited significantly increased β-APP staining compared to the sham group (p < 0.01). Axonal pathology increased with injury severity across all regions. Bars represent mean ± standard deviation.
Figure 2
Figure 2
Diffusion MRI metrics measured 48 h after DAI across injury severity groups compared to sham-operated controls. (a) FA, (b) RA, (c) AD, (d) MD, and (e) RD were quantified from whole-brain regions of interest. FA, RA, AD, and MD values significantly declined with increasing injury severity. No significant group differences were observed for RD. Bars represent mean ± standard error. NS = not significant.
Figure 3
Figure 3
Experimental timeline. NSS—neurological severity score; DAI—diffuse axonal brain injury; MRI—magnetic resonance imaging.

Similar articles

References

    1. Gruenbaum B.F., Zlotnik A., Oleshko A., Matalon F., Shiyntum H.N., Frenkel A., Boyko M. The relationship between post-traumatic stress disorder due to brain injury and glutamate intake: A systematic review. Nutrients. 2024;16:901. doi: 10.3390/nu16060901. - DOI - PMC - PubMed
    1. Injury G. Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019;18:56–87. doi: 10.1016/s1474-4422(18)30415-0. - DOI - PMC - PubMed
    1. Oleshko A., Gruenbaum B.F., Zvenigorodsky V., Shelef I., Negev S., Merzlikin I., Melamed I., Zlotnik A., Frenkel A., Boyko M. The role of isolated diffuse axonal brain injury on post-traumatic depressive-and anxiety-like behavior in rats. Transl. Psychiatry. 2025;15:113. doi: 10.1038/s41398-025-03333-3. - DOI - PMC - PubMed
    1. Drieu A., Lanquetin A., Prunotto P., Gulhan Z., Pédron S., Vegliante G., Tolomeo D., Serrière S., Vercouillie J., Galineau L. Persistent neuroinflammation and behavioural deficits after single mild traumatic brain injury. J. Cereb. Blood Flow Metab. 2022;42:2216–2229. doi: 10.1177/0271678X221119288. - DOI - PMC - PubMed
    1. Pavlovic D., Pekic S., Stojanovic M., Popovic V. Traumatic brain injury: Neuropathological, neurocognitive and neurobehavioral sequelae. Pituitary. 2019;22:270–282. doi: 10.1007/s11102-019-00957-9. - DOI - PubMed

LinkOut - more resources