Abstract
Background and purpose: To clarify the relationship between fiber-specific white matter changes in amyotrophic lateral sclerosis (ALS) and clinical signs of upper motor neuron (UMN) involvement, we performed a fixel-based analysis (FBA), a novel framework for diffusion-weighted imaging analysis. Methods: We enrolled 96 participants, including 48 nonfamilial ALS patients and 48 age- and sex-matched healthy controls (HCs), in this study and conducted whole-brain FBA and voxel-based morphometry analysis. We compared the fiber density (FD), fiber morphology (fiber cross-section [FC]), and a combined index of FD and FC (FDC) between the ALS and HC groups. We performed a tract-of-interest analysis to extract FD values across the significant regions in the whole-brain analysis. Then, we evaluated the associations between FD values and clinical variables. Results: The bilateral corticospinal tracts (CSTs) and the corpus callosum (CC) showed reduced FD and FDC in ALS patients compared with HCs (p < 0.05, familywise error-corrected), and the comparison of FCs revealed no region that was significantly different from another. Voxel-based morphometry showed cortical volume reduction in the regions, including the primary motor area. Clinical scores showed correlations with FD values in the CSTs (UMN score: rho = −0.530, p < 0.001; central motor conduction time [CMCT] in the upper limb: rho = −0.474, p = 0.008; disease duration: rho = −0.383, p = 0.007; ALS Functional Rating Scale-Revised: rho = 0.340, p = 0.018). In addition, patients whose CMCT was not calculated due to unevoked waves also showed FD reduction in the CSTs. Conclusions: Our findings suggest that FD values in the CST estimated via FBA can be potentially used in evaluating UMN impairments.
| Original language | English |
|---|---|
| Pages (from-to) | 432-440 |
| Number of pages | 9 |
| Journal | European Journal of Neurology |
| Volume | 29 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 02-2022 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Neurology
- Clinical Neurology
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