ArticleAnnals of neurology2025
Regional Cerebral Atrophy Contributes to Personalized Survival Prediction in Amyotrophic Lateral Sclerosis: A Multicentre, Machine Learning, Deformation-Based Morphometry Study.
Article in Annals of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Artificial Intelligence in Neuromuscular Diseases: Opportunities for a Data-Scarce Field.Neurology and therapy · 2026Review
- Education, Cognitive Reserve, and Brain Pathology in Aging and Alzheimer's Disease: Evidence from Preclinical and Symptomatic Cohorts.medRxiv : the preprint server for health sciences · 2026Article
- Driving with Motor Neuron Disease: Disease-Specific Considerations, Multi-Domain Assessments and Support Strategies.Brain sciences · 2026Review
- Brain Folding Trajectories in Amyotrophic Lateral Sclerosis.Human brain mapping · 2026Article
- Anatomical Associations Between Focal Mitochondrial Metabolism and Patterns of Neurodegeneration in Amyotrophic Lateral Sclerosis.Annals of neurology · 2026Article
- Quantifying brain atrophy in Frontotemporal Dementia: a head-to-head comparison of neuroimaging techniques.medRxiv : the preprint server for health sciences · 2025Article
- Distinct Longitudinal Clinical-Neuroanatomical Trajectories in Parkinson's Disease Clinical Subtypes: Insight toward Precision Medicine.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Pathophysiology, Clinical Heterogeneity, and Therapeutic Advances in Amyotrophic Lateral Sclerosis: A Comprehensive Review of Molecular Mechanisms, Diagnostic Challenges, and Multidisciplinary Management Strategies.Life (Basel, Switzerland) · 2025Review
- Apathy progression is associated with brain atrophy and white matter damage in Parkinson's disease.Brain communications · 2025Article
- A meaningful prediction of functional decline in amyotrophic lateral sclerosis based on multi-event survival analysis.PloS one · 2025Article
- Data-driven subtyping and staging of ALS: A multicenter, longitudinal, deformation-based morphometry study.Imaging neuroscience (Cambridge, Mass.)Article
- Intracranial volume: To adjust or not to adjust? It is not a matter of if, but how.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectiveAccurate personalized survival prediction in amyotrophic lateral sclerosis is essential for effective patient care planning. This study investigates whether grey and white matter changes measured by magnetic resonance imaging can improve individual survival predictions.
methodsWe analyzed data from 178 patients with amyotrophic lateral sclerosis and 166 healthy controls in the Canadian Amyotrophic Lateral Sclerosis Neuroimaging Consortium study. A voxel-wise linear mixed-effects model assessed disease-related and survival-related atrophy detected through deformation-based morphometry, controlling for age, sex, and scanner variations. Additional linear mixed-effects models explored associations between regional imaging and clinical measurements, and their associations with time to the composite outcome of death, tracheostomy, or permanent assisted ventilation. We evaluated whether incorporating imaging features alongside clinical data could improve the performance of an individual survival distribution model.
resultsDeformation-based morphometry uncovered distinct voxel-wise atrophy patterns linked to disease progression and survival, with many of these regional atrophies significantly associated with clinical manifestations of the disease. By integrating regional imaging features with clinical data, we observed a substantial enhancement in the performance of survival models across key metrics. Our analysis identified specific brain regions, such as the corpus callosum, rostral middle frontal gyrus, and thalamus, where atrophy predicted an increased risk of mortality.
interpretationThis study suggests that brain atrophy patterns measured by deformation-based morphometry provide valuable insights beyond clinical assessments for prognosis. It offers a more comprehensive approach to prognosis and highlights brain regions involved in disease progression and survival, potentially leading to a better understanding of amyotrophic lateral sclerosis. ANN NEUROL 2025;97:1144-1157.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.