Quantitative Susceptibility Mapping in Amyotrophic Lateral Sclerosis: Automatic Quantification of the Magnetic Susceptibility in the Subcortical Nuclei Publisher Pubmed



Ghaderi S^{1, 2} ; Fatehi F^{2, 3} ; Kalra S^{4, 5} ; Mohammadi S² ; Batouli SAH¹ Show Affiliations
Source: Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration Published:2025

Abstract

Objective: Previous studies have suggested a link between dysregulation of cortical iron levels and neuronal loss in amyotrophic lateral sclerosis (ALS) patients. However, few studies have reported differences in quantitative susceptibility mapping (QSM) values in subcortical nuclei between patients with ALS and healthy controls (HCs). Methods: MRI was performed using a 3 Tesla Prisma scanner (64-channel head coil), including 3D T1-MPRAGE and multi-echo 3D GRE for QSM reconstruction. Automated QSM segmentation was used to measure susceptibility values in the subcortical nuclei, which were compared between the groups. Correlations with clinical scales were analyzed. Group comparisons were performed using independent t-tests, with p < 0.05 considered significant. Correlations were assessed using Pearson’s correlation, with p < 0.05 considered significant. Cohen’s d was reported to compare the standardized mean difference (SMD) of QSM. Results: Twelve patients with limb-onset ALS (mean age 48.7 years, 75% male) and 13 age-, sex-, and handedness-matched HCs (mean age 44.6 years, 69% male) were included. Compared to HCs, ALS patients demonstrated significantly lower susceptibility in the left caudate nucleus (CN) (SMD = −0.845), right CN (SMD = −0.851), whole CN (SMD = −1.016), and left subthalamic nucleus (STN) (SMD = −1.000). Susceptibility in the left putamen (SMD = −0.857), left thalamus (SMD = −1.081), and whole thalamus (SMD = −0.968) was significantly higher in the patients. The susceptibility of the substantia nigra (SN), CN, and pulvinar was positively correlated with disease duration. Conclusions: QSM detects abnormal iron accumulation patterns in the subcortical gray matter of ALS patients, which correlates with disease characteristics, supporting its potential as a neuroimaging biomarker. © 2024 World Federation of Neurology on behalf of the Research Group on Motor Neuron Diseases.