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DTI-derived parameters differ between moderate and...
Journal article

DTI-derived parameters differ between moderate and severe traumatic brain injury and its association with psychiatric scores

Abstract

Background and aimDiffusion tensor imaging (DTI) parameters in the corpus callosum have been suggested to be a biomarker for prognostic outcomes in individuals with diffuse axonal injury (DAI). However, differences between the DTI parameters on moderate and severe trauma in DAI over time are still unclear. A secondary goal was to study the association between the changes in the DTI parameters, anxiety, and depressive scores in DAI over time.MethodsTwenty subjects were recruited from a neurological outpatient clinic and evaluated at 2, 6, and 12 months after the brain injury and compared to matched age and sex healthy controls regarding the DTI parameters in the corpus callosum. State-Trace Anxiety Inventory and Beck Depression Inventory were used to assess psychiatric outcomes in the TBI group over time.ResultsDifferences were observed in the fractional anisotropy and mean diffusivity of the genu, body, and splenium of the corpus callosum between DAI and controls (p < 0.02). Differences in both parameters in the genu of the corpus callosum were also detected between patients with moderate and severe DAI (p < 0.05). There was an increase in the mean diffusivity values and the fractional anisotropy decrease in the DAI group over time (p < 0.02). There was no significant correlation between changes in the fractional anisotropy and mean diffusivity across the study and psychiatric outcomes in DAI.ConclusionDTI parameters, specifically the mean diffusivity in the corpus callosum, may provide reliable characterization and quantification of differences determined by the brain injury severity. No correlation was observed with DAI parameters and the psychiatric outcome scores.

Authors

Zaninotto AL; Grassi DC; Duarte D; Rodrigues PA; Cardoso E; Feltrin FS; Guirado VMDP; Macruz FBDC; Otaduy MCG; da Costa Leite C

Journal

Neurological Sciences, Vol. 43, No. 2, pp. 1343–1350

Publisher

Springer Nature

Publication Date

February 1, 2022

DOI

10.1007/s10072-021-05455-0

ISSN

1590-1874

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