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23Na MRI of mild traumatic brain injury: linear regression analysis reveals decreased total sodium concentration
TERESA GERHALTER1, Anna M. Chen1, Seena Dehkharghani1, Rosermary Peralta1, Fatemeh Adlparvar1, James S. Babb1, Tamara Bushnik2, Jonathan M. Silver3, Brian S. Im2, Stephen P. Wall4, Ryan Brown1, Guillaume Madelin1, and Ivan Kirov1
1Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, NEW YORK, NY, United States, 2Department of Rehabilitation Medicine, New York University Grossman School of Medicine, NEW YORK, NY, United States, 3Department of Psychiatry, New York University Grossman School of Medicine, NEW YORK, NY, United States, 4Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, NEW YORK, NY, United States

Synopsis

In this quantitative sodium MRI study, 27 mild traumatic brain injury (mTBI) and 19 controls were scanned at 3 T. Linear regression analysis was used to measure total sodium concentrations (TSC) in global grey and white matter. We found statistically significant lower global grey and white matter TSC in mTBI patients compared to controls. This suggests that sodium imbalances in TBI, well-recognized from basic research, can be detectable non-invasively, are widespread over the entire brain, and are present even when the injury is clinically mild.

Introduction

Traumatic brain injuries (TBI) secondary to head trauma are one of the main causes of neurological disabilities worldwide.1 Despite its low severity, mild TBI (mTBI) patients often present with physical, psychiatric, emotional and cognitive problems.2 The biological correlates of these manifestations, however, are not detected on conventional CT and MRI.3 The pathological cascade of tissue damage in mTBI is set forth by a perturbation in ionic homeostasis. The Na+/K+-exchange pump can be affected by energy deficits due to mitochondrial dysfunction, as well as by diffuse axonal injury, the histopathological signature of TBI.4,5 Cerebral 23Na MRI allows a quantitative assessment of new biochemical information in brain, such as ion homeostasis, which is vital for cell viability. Here, we used 23Na MRI to quantify total sodium concentrations (TSC) using linear regression analysis, as commonly done with MR spectroscopic imaging.6–8 Linear regression increases the signal-to-noise ratio, and partial volume effects are strongly reduced, which has also been shown previously for sodium imaging.9 This results in high sensitivity to global changes in GM and WM.6 We test the hypotheses that global TSC: (i) are higher in patients than in controls; and (ii) correlate with clinical presentation and neuropsychological function.

Materials & Methods

Twenty-seven patients (18-60 years, 20 females) with confirmed mTBI and nineteen age-matched healthy volunteers (23-54 years, 12 females) were scanned on 3T (Magnetom Prisma, Siemens Healthineers). The scanning of mTBI patients occurred 22.1±10.2 days after injury (range 5–53 days). A 20-channel quadrature head coil (Siemens Healthineers) was used for 1H imaging. The qualitative screening included 3D MPRAGE (TR/TE/TI=2400/2.24/1060 ms; flip angle=8°; in-plane FOV=256×256 mm2; 208 slices, slab thickness=0.8 mm; voxel size=0.8×0.8×0.8 mm³; TA=6:38 min), FLAIR (TR/TE/TI=9000/81/2500 ms; 30 slices, in-plane FOV=220×220 mm2; voxel size=0.7×0.7×5.0 mm³; TA=2:44 min) and SWI (TR/TE=28/20 ms; flip angle=15°; in-plane FOV=220x220 mm2; voxel size=0.7×0.7×3.0 mm³; TA=3:46 min). A radiologist examined qualitative 1H images for areas with possible hematoma, haemorrhage, diffuse or traumatic axonal injury, which were excluded for TSC quantification. Sodium imaging was performed using an in-house 1H/23Na double-tuned head coil. All 23Na images were acquired using a 3D FLORET sequence10 (TE=0.2 ms, TR=100 ms, 3 hubs at 45°, interleaves/hub=26, resolution=6 mm isotropic, 46 averages, TA=5:59 min). 23Na signals were calibrated using the eyes. Brain segmentation was performed using SPM12 (UCL, UK) from MPRAGE data. Global TSC values in WM and GM were obtained with linear regression over all brain voxels (Fig.1). The TSC signal in each voxel was modelled as a sum of the three compartments (GM, WM, and CSF), where unknown concentrations C of WM and GM (CCSF=140mM) and volume fractions f were derived from the corrected probability masks:

TSC = CGMfGM + CWMfWM + CCSFfCSF

All brain voxels were then used for the over-determined equations for and , which were solved with least-squares optimization. All mTBI patients also underwent clinical and neurocognitive testing including the Rivermead post-concussion symptoms questionnaire (RPQ)11, the Glasgow Outcome Scale – Extended (GOSE)12, and the Brief Test of Adult Cognition by Telephone (BTACT)13. TSC measurements from mTBI and controls were compared with a Mann-Whitney (MW) test. MW and analysis of covariance (ANCOVA) were used to compare patients who showed recovery (GOSE=8) with patients who did not (GOSE<8). Spearman rank correlations without and with adjustment for the elapsed time from injury assessed the associations between TSC and BTACT and RPQ. Statistical difference was defined as p<0.05.

Results

Demographics, clinical presentation and cognitive testing results are compiled in Table 1. At time of scanning, eight patients had recovered from their injury, as assessed by a GOSE score of 8. Both TSC of GM and WM were lower in mTBI than in controls (Fig.2). There was lower TSC in GM in both non-recovered and recovered groups compared to controls (ANCOVA p<0.001, MW p<0.001) and a lower TSC in WM in non-recovered patients compared to controls (ANCOVA p=0.034, MW p=0.038). GM and WM TSC correlated positively with BTACT sub-tests and composite z-score (Table 2). The strongest correlation for TSC in WM was observed with the composite z-score (Direct, r=0.46 with p=0.018), while TSC in GM correlated the strongest to imaging with number series z-score (Direct, r=0.45 with p=0.02).

Discussion & Conclusion

We implemented a partial volume-corrected global analysis using linear regression quantification to test the hypotheses that diffuse TSC increases are detectable after mTBI and correlate with patient outcome. Global TSC were abnormal in both GM and WM of patients, however, they were lower, rather than higher in mTBI compared to controls. Lower TSC in both tissue types correlated with worse neuropsychological function, suggesting a potential biomarker role. The observed decrease of TSC could be explained by cell swelling and sodium influx; a small increase in the intracellular volume can result in the decreased TSC, even if the intracellular sodium concentration increases. Based on the lower global TSC detected using linear regression analysis, we provide evidence that in TBI there is an overall, diffuse, disturbance of the sodium homeostasis in both GM and WM. These findings lay the ground for further studies aimed at (i) understanding the pathophysiology of TBI from the standpoint of ionic imbalances and (ii) development of clinical biomarkers for said abnormalities.

Acknowledgements

This work was supported by grants R01NS097494 and R01EB026456 from the National Institutes of Health (NIH).

References

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2. Maas, A. I. R. et al. Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research. Lancet Neurol. 16, 987–1048 (2017).

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4. Saraiva, A. L. L. et al. Creatine reduces oxidative stress markers but does not protect against seizure susceptibility after severe traumatic brain injury. Brain Res. Bull. 87, 180–186 (2012).

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6. Tal, A., Kirov, I. I., Grossman, R. I. & Gonen, O. The role of gray and white matter segmentation in quantitative proton MR spectroscopic imaging. NMR Biomed. 25, 1392–1400 (2012).

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9. Kim, S. et al. Voxel‐wise partial volume correction method for accurate estimation of tissue sodium concentration in 23 Na‐MRI at 7 T. NMR Biomed. 1–14 (2020). doi:10.1002/nbm.4448

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11. King, N. S., Crawford, S., Wenden, F. J., Moss, N. E. G. & Wade, D. T. The Rivermead Post Concussion Symptoms Questionnaire: a measure of symptoms commonly experienced after head injury and its reliability. J. Neurol. 242, 587–592 (1995).

12. Wilson, J. T., Pettigrew, L. E. & Teasdale, G. M. Structured interviews for the Glasgow Outcome Scale and the extended Glasgow Outcome Scale: guidelines for their use. J. Neurotrauma 15, 573–85 (1998).

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Figures

Figure 1: Work flow for linear regression analysis. A) Low-resolution MPRAGE images were segmented into GM, WM and CSF masks, which were regridded to the 23Na resolution and convolved with the point spread function to correct for spill-over effects from CSF. B) Measured TSC maps and tissue volume fractions were used for the linear regression analysis. C) Modeled TSC distribution using the calculated WM, GM and CSF concentrations and residual error map (Δ measured and modeled TSC). D) Normal probability plot of the error residuals indicating a normal distribution (red dashed line).

Figure 2: Boxplots of TSC in mTBI and control (CTL) from linear regression analysis. Boxplots show the 1st, 2nd (median), and 3rd quartiles (box), ±95% (whiskers), and means (*) of the TSC distributions of the controls and mTBI patients for global grey and white matter (GM, WM, respectively) using linear regression. The boxplots excluded the three elder mTBI patients who lacked an age-matched control. Note that TSC in the GM and WM was decreased in mTBI when compared to controls (age-adjusted analysis of covariance, ♦: p<0.05).

Table 1: Demographic and clinical characteristics of study population. The RPQ was analysed according to different classification methods: the RPQ total score11, the RPQ 3 and RPQ 1314, and the three-factor model15. The Brief Test of Adult Cognition by Telephone (BTACT) provided sub-scores in memory, executive function, and reasoning, which are summarized in a composite z-score of cognitive function.

Table 2: Correlations between clinical and TSC measures. Direct and partial Spearman correlations (r) and p-values are presented for the association of TSC with the scores from the Brief Test of Adult Cognition by Telephone (BTACT) and Rivermead Post-Concussion Symptoms Questionnaire (RPQ) without (direct) and with (partial) adjustment for the elapsed time from injury to imaging, respectively. Only statistically significant correlations are shown (p<0.05).

Proc. Intl. Soc. Mag. Reson. Med. 29 (2021)
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