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Spatial Distribution Patterns of Secondary White Matter Tract Degeneration in Amyotrophic Lateral Sclerosis  
Hagen H Kitzler1, Paul Kuntke1, Carolin Schwamborn1, Hannes Wahl1, Rene Guenther2, Andreas Herrmann3, Sean C Deoni4, and Jennifer Linn1
1Neuroradiology, Technische Universität Dresden, Dresden, Germany, 2Neurology, Technische Universität Dresden, Dresden, Germany, 3Neurology, Universitätsmedizin Rostock, Rostock, Germany, 4Alpert Medical School, Brown University, Providence, RI, United States

Synopsis

Amyotrophic lateral sclerosis (ALS) is a rapidly progressing neurodegenerative disease of primary cortical neuronal pathology and central nervous system multisystem involvement including related white matter. Based on previous findings of early myelination changes we aimed to investigate the spatial distribution of changes of markers of axonal (diffusion) and myelin (relaxation) integrity of the related motor corticospinal tract (CST). We found different pattern with minor, predominantly diffusion or predominantly relaxation, and extensive ubiquitary alteration. However, heterogeneous distribution of changes suggest a non-uniform secondary CST degeneration and limited prognostic value of ALS disease course.

INTRODUCTION

Amyotrophic lateral sclerosis (ALS) is a rapidly progressing neurodegenerative disease of primary cortical neuronal pathology and central nervous system (CNS) multisystem involvement including related white matter (WM). Both aetiology and pathogenesis to date remain incompletely understood. The determinant progressive impairment of nearly all voluntary muscle function subsequently leads to respiratory failure and eventual death1. The clinical heterogeneity has lead to the assumption of a disease spectrum.
We aimed to understand secondary WM tract degeneration spatial distribution in ALS by investigating potential quantitative markers of both axonal (diffusion) and myelin (relaxation) integrity using Diffusion Tensor Imaging (DTI) and the multi-component driven equilibrium single pulse observation of T1 and T2 (mcDESPOT). Based on previous findings of early myelination changes2 we hypothesized (1) non-uniform alterations of quantitative MRI measures within the corticospinal tract (CST), but (2) a cranio-caudal, i.e. centrifugal gradient in tract-based analysis, from degenerating cortex adjacent WM along the descending CST.

METHODS

Data was acquired using a SIEMENS Magnetom Verio 3T (Siemens Healthineers, Erlangen, Germany). DTI: EPI sequence, 2 two b/values (0/100), 64 diffusion directions, resolution of 2 mm^3. mcDESPOT: 1.7 mm^3 whole-brain FLASH (TR: 5.9ms, FA= [4, 5.3, 6.6, 8, 9.3, 12, 17.3, 24]°), trueFISP (TR 5.6ms; FA = [9.8, 13.1, 16.4, 19.7, 22.9, 29.5, 42.6, 59]°) and 1.7 mm^3 whole-brain inversion prepared FLASH (TR 5.7ms, FA = 5°, TI [450, 700] ms, PE 72). The quantitative parameters retrieved from diffusion data were mean diffusivity (MD), axial (AD) and radial diffusivity (RD) and fractional anisotropy (FA). Relaxation data provided T1 time and T2 time, myelin water fraction (MWF) and myelin water residence time (MRT)3.
ALS patients (n=27) were scanned for the NiSALS (Neuroimaging Society in Amyotrophic Lateral Sclerosis) multi-site registry. Age matched healthy controls (n=21) were scanned as a comparative dataset. Ages and age ranges of both groups were tested for non-significant differences.

RESULTS

We found different pattern of individual diffusion and relaxation parameter alteration in CST: (1) minor or no alteration in both diffusion and relaxation parameters within CST (12/27 patients), within that group 6/12 with homogenously no alteration (1a) and 6/12 with some subcortical parameter deviation from normal, (2a) with predominantly diffusion (3/27) and (7/27) predominantly relaxation (2b) alteration, and, (3) homogenous alteration of diffusion and relaxation parameters (5/27) throughout CST (see Fig.1).
Further tract-based voxel-wise analysis in CST subsegments revealed Deficient Volume Fractions (DVF)4 evenly distributed in diffusion metrics but inhomogeneous, craniocaudally increasing relaxation derived MRT and MWF (see Fig.2). Whereas MD, AD (p < 0.001) and RD (p < 0.05) demonstrated significant correlations with patients median age, just as qT1 (p < 0.05), qT2 (p < 0.001), MRT and MWF (p < 0.01), only qT1 (p < 0.05) revealed a significant correlation with ALS disease duration (Spearman’s rank correlation). Neither diffusion nor relaxation measures correlated significantly with the ALS-FRS (R) disease severity score.

DISCUSSION

Heterogeneous distribution of changes of markers of axonal (diffusion) and myelin (relaxation) integrity revealed a non-uniform secondary WM tract degeneration in primary neurodegenerative ALS. The diverse quantitative parameter deviation patterns may exhibit different subcohorts or the preservation and/or compensation capabilities in both the axonal and the myelin compartment.

CONCLUSION

Based on these findings the prognostic value of secondary WM degeneration in ALS might be limited. However, the correlation of the found degeneration pattern and the disease progress remains subject to further investigation.

Acknowledgements

No acknowledgement found.

References

[1] Verde et al. Arch Ital Biol. 2017 Dec 1;155(4):118-130

[2] Kitzler et al. Proceedings Int Soc Mag Res Med. 2019:2779

[3] Deoni et al., Magn Reson Med. 2008; 6:1372-87

[4] Kitzler et al. NeuroImage. 2012;59(3):2670-7

Figures

Fig.1 Patterns of quantitative parameter deviation displayed as color-coded z-scores registered and projected onto a standard space CST and adjacent MC in exemplary patients: 1a) no relevant parameter deviation within the entire tract, 1b) minor subcortical, 2a) predominantly diffusion, 2b) predominantly relaxation parameter deviation, and, 3) homogenous deviation in both diffusion and relaxation parameters.

Fig.2 Deficient Volume Fractions (DVF) within the CST as the volume ratio of significantly (-2 STD below healthy control mean) altered diffusion and relaxation quantitative measure. The CST was subdivided into tract segments a) subcortical precentral gyrus white matter (SP-WM), b) radial corona (RC), c) internal capsule (IC), d) cerebral peduncle (CP), and, e) pons (Pons).

Proc. Intl. Soc. Mag. Reson. Med. 28 (2020)
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