Diffusion kurtosis imaging in mild traumatic brain injury and postconcussional syndrome
- PMID: 30675907
- PMCID: PMC6590310
- DOI: 10.1002/jnr.24383
Diffusion kurtosis imaging in mild traumatic brain injury and postconcussional syndrome
Abstract
Aims of this study were to investigate white matter (WM) and thalamus microstructure 72 hr and 3 months after mild traumatic brain injury (TBI) with diffusion kurtosis imaging (DKI) and diffusion tensor imaging (DTI), and to relate DKI and DTI findings to postconcussional syndrome (PCS). Twenty-five patients (72 hr = 24; 3 months = 23) and 22 healthy controls were recruited, and DKI and DTI data were analyzed with Tract-Based Spatial Statistics (TBSS) and a region-of-interest (ROI) approach. Patients were categorized into PCS or non-PCS 3 months after injury according to the ICD-10 research criteria for PCS. In TBSS analysis, significant differences between patients and controls were seen in WM, both in the acute stage and 3 months after injury. Fractional anisotropy (FA) reductions were more widespread than kurtosis fractional anisotropy (KFA) reductions in the acute stage, while KFA reductions were more widespread than the FA reductions at 3 months, indicating the complementary roles of DKI and DTI. When comparing patients with PCS (n = 9), without PCS (n = 16), and healthy controls, in the ROI analyses, no differences were found in the acute DKI and DTI metrics. However, near-significant differences were observed for several DKI metrics obtained in WM and thalamus concurrently with symptom assessment (3 months after injury). Our findings indicate a combined utility of DKI and DTI in detecting WM microstructural alterations after mild TBI. Moreover, PCS may be associated with evolving alterations in brain microstructure, and DKI may be a promising tool to detect such changes.
Keywords: brain concussion; diffusion tensor imaging; magnetic resonance imaging; postconcussion syndrome.
© 2019 The Authors. Journal of Neuroscience Research Published by Wiley Periodicals, Inc.
Conflict of interest statement
The authors have no conflicts of interest to declare.
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References
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- Benjamini, Y. , & Hochberg, Y. (1995). Controlling the false discovery rate—A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B‐Methodological, 57(1), 289–300. 10.1111/j.2517-6161.1995.tb02031.x - DOI
-
- Bouix, S. , Pasternak, O. , Rathi, Y. , Pelavin, P. E. , Zafonte, R. , & Shenton, M. E. (2013). Increased gray matter diffusion anisotropy in patients with persistent post‐concussive symptoms following mild traumatic brain injury. PLoS ONE, 8(6), e66205 10.1371/journal.pone.0066205 - DOI - PMC - PubMed
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