Jia Yan Shi1 and Hua Jun Chen2
1Fujian Medical University Union Hospital, Fuzhou, China, 2Radiology, Fujian Medical University Union Hospital, Fuzhou, China
Synopsis
We conducted the first assessment of the sensorimotor-related areas(SMA) alterations in ALS using IVIM MRI
and atlas-based analysis, which may provide useful information for localization of specific cortex and white matter(WM) tract
damage in ALS. In grey matter areas (GM), ALS patients showed a reduction
in f in the bilateral preSMA and SMA, while in WM areas,
ALS patients exhibited an increase in D in a WM tract projecting to the right ventral premotor cortex(PMv). Correlation analysis revealed that the
average D in this right PMv tract was negatively correlated to ALS disease severity.
Introduction
Amyotrophic lateral sclerosis (ALS) pertains to a progressive neurodegenerative disease; however, its etiology remains unclear. Neuroimaging studies have revealed structural and functional impairment of brain in ALS. Intravoxel incoherent motion (IVIM) MRI enables the separation of the intravoxel signals into
microcirculatory effects and thermal diffusion effects using a
bi-exponential model1. IVIM MRI modeled the IVIM signals into the pseudo-diffusion coefficient (D*), diffusion
coefficient (D), and perfusion fraction (f)2. Specifically,
D* represents the incoherent movement of blood occurring
within microvasculature compartments, thereby providing
information on blood speed3; D describes the random
microscopic motion of intra-cellular and intercellular water
molecules4; f represents the volume of blood flowing into
the capillary2, which is positively correlated to cerebral
blood volume (CBV) that is derived from dynamic contrastenhanced and dynamic susceptibility contrast MRI5;6.
By analyzing these IVIM signals, we can gain better understanding of water movement in tissues. In the past few years,
IVIM MRI has been applied to brain development4,
cerebral small vessel disease7, and Alzheimer’s disease8.
To the best of our knowledge, no IVIM MRI study in ALS
has been reported to date.
Here, we conducted the first assessment of the sensorimotor-related areas alterations in ALS using IVIM MRI
and atlas-based analysis, which may provide useful information for localization of specific cortex and WM tract
damage in ALS.Purpose
To investigate the microperfusion and water molecule diffusion alterations in sensorimotor-related areas in
amyotrophic lateral sclerosis (ALS) using intravoxel incoherent motion (IVIM) magnetic resonance imaging.Methods
IVIM data were obtained from 43 ALS patients and 31 controls. This study employed the revised ALS Functional
Rating Scale (ALSFRS-R) in evaluating disease severity. IVIM-derived metrics were calculated, including diffusion coefficient (D), pseudodiffusion coefficient, and perfusion fraction. Conventional apparent diffusion coefficient was also computed. Atlas-based analysis was
conducted to detect between-group difference in these metrics in sensorimotor-related gray/white matter areas. Spearman correlation
analysis was employed to establish correlation between various metrics and ALSFRS-R.Results
ALS patients had perfusion fraction (£ 10-3) reduction in the left presupplementary motor area (60.72 § 16.15 vs. 71.15 § 12.98,
p = 0.016), right presupplementary motor area (61.35 § 17.02 vs. 72.18 § 14.22, p = 0.016), left supplementary motor area (55.73 §
12.29 vs. 64.12 § 9.17, p = 0.015), and right supplementary motor area (56.53 § 11.93 vs. 63.67 § 10.03, p = 0.020). Patients showed D
(£ 10-6 mm2
/s) increase in a white matter tract projecting to the right ventral premotor cortex (714.20 § 39.75 vs. 691.01 § 24.53,
p = 0.034). A negative correlation between D of right ventral premotor cortex tract and ALSFRS-R score was observed (r = -0.316,
p = 0.039).Conclusions
These findings suggest aberrant microperfusion and water molecule diffusion in the sensorimotor-related areas in ALS
patients, which are associated with motor impairment in ALS.Acknowledgements
The National Natural Science Foundation of China (Grant
No. 82071900, 81671271, and 81974199) and Fujian Province Joint Funds for the Innovation of Science and Technology (Grant No. 2019Y9067 and 2018Y9027) supported this
study.References
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