ArticleNeuroImage. Clinical2020
Structural MRI outcomes and predictors of disease progression in amyotrophic lateral sclerosis.
Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 26 citations in OpenAlex.
- An Automated Analysis Tool for Diffusion Tensor Imaging-Based Quantitative MRI in X-Linked Adrenoleukodystrophy.Journal of inherited metabolic disease · 2025Article
- Multimodal Neuroimaging-Guided Stratification in Amyotrophic Lateral Sclerosis Reveals Three Disease Subtypes: A Multi-Cohort Analysis.Human brain mapping · 2025Article
- Mapping motor and extra-motor gray and white matter changes in ALS: a comprehensive review of MRI insights.Neuroradiology · 2025Review
- Regional Cerebral Atrophy Contributes to Personalized Survival Prediction in Amyotrophic Lateral Sclerosis: A Multicentre, Machine Learning, Deformation-Based Morphometry Study.Annals of neurology · 2025Article
- Brain neurovascular coupling in amyotrophic lateral sclerosis: Correlations with disease progression and cognitive impairment.European journal of neurology · 2025Article
- The integrity of the corticospinal tract and corpus callosum, and the risk of ALS: univariable and multivariable Mendelian randomization.Scientific reports · 2024Article
- Update on recent advances in amyotrophic lateral sclerosis.Journal of neurology · 2024Review
- The role of statins in amyotrophic lateral sclerosis: protective or not?Frontiers in neuroscience · 2024Review
- The impact of upper and lower motor neuron burden on diagnostic certainty, and clinical course of spinal-onset amyotrophic lateral sclerosis: a cluster-based approach.Journal of neurology · 2023Article
- Clinical Profiles and Patterns of Neurodegeneration in Amyotrophic Lateral Sclerosis: A Cluster-Based Approach Based on MR Imaging Metrics.AJNR. American journal of neuroradiology · 2023Article
- Alterations of Microstructure and Sodium Homeostasis in Fast Amyotrophic Lateral Sclerosis Progressors: A Brain DTI and Sodium MRI Study.AJNR. American journal of neuroradiology · 2022Article
- Automatic deep learning multicontrast corpus callosum segmentation in multiple sclerosis.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Article
- Medulla oblongata volume as a promising predictor of survival in amyotrophic lateral sclerosis.NeuroImage. Clinical · 2022Article
- Profiling morphologic MRI features of motor neuron disease caused byFrontiers in neurology · 2022Article
- Sensitivity of brain MRI and neurological examination for detection of upper motor neurone degeneration in amyotrophic lateral sclerosis.Journal of neurology, neurosurgery, and psychiatry · 2022Article
- Magnetic resonance metrics to evaluate the effect of therapy in amyotrophic lateral sclerosis: the experience with edaravone.Journal of neurology · 2021Article
- Heterogeneity of Neuroinflammatory Responses in Amyotrophic Lateral Sclerosis: A Challenge or an Opportunity?International journal of molecular sciences · 2020Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsConsidering the great heterogeneity of amyotrophic lateral sclerosis (ALS), the identification of accurate prognostic predictors is fundamental for both the clinical practice and the design of treatment trials. This study aimed to explore the progression of clinical and structural brain changes in patients with ALS, and to assess magnetic resonance imaging (MRI) measures of brain damage as predictors of subsequent functional decline.
methods50 ALS patients underwent clinical evaluations and 3 T MRI scans at regular intervals for a maximum of 2 years (total MRI scans = 164). MRI measures of cortical thickness, as well as diffusion tensor (DT) metrics of microstructural damage along white matter (WM) tracts were obtained. Voxel-wise regression models and longitudinal mixed-effects models were used to test the relationship between clinical decline and baseline and longitudinal MRI features.
resultsThe rate of decline of the ALS Functional Rating Scale revised (ALSFRS-r) was significantly associated with the rate of fractional anisotropy (FA) decrease in the body of the corpus callosum (CC). Corticospinal tract (CST) and CC-body alterations had a faster progression in patients with higher baseline ALSFRS-r scores and greater CC-body disruption at baseline. Lower FA of the cerebral peduncle was associated with faster subsequent clinical progression.
conclusionsIn this longitudinal study, we identified a significant association between measures of WM damage of the motor tracts and functional decline in ALS patients. Our data suggest that a multiparametric approach including DT MRI measures of brain damage would provide an optimal method for an accurate stratification of ALS patients into prognostic classes.
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