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Multimodal Neuroimaging-Guided Stratification in Amyotrophic Lateral Sclerosis Reveals Three Disease Subtypes:A Multi-Cohort Analysis

Title: Multimodal Neuroimaging-Guided Stratification in Amyotrophic Lateral Sclerosis Reveals Three Disease Subtypes:A Multi-Cohort Analysis
Authors: Canadian ALS Neuroimaging Consortium (CALSNIC); Projectafdeling ALS; Neurologen; Brain
Publication Year: 2025
Subject Terms: Adult; Aged; Amyotrophic Lateral Sclerosis/diagnostic imaging; Cohort Studies; Diffusion Magnetic Resonance Imaging; Diffusion Tensor Imaging; Disease Progression; Female; Gray Matter/diagnostic imaging; Humans; Male; Middle Aged; Multimodal Imaging/methods; Neuroimaging/methods; White Matter/diagnostic imaging; Journal Article
Description: Amyotrophic lateral sclerosis (ALS) is a multisystem disease with marked pathophysiological and clinical heterogeneity, making individual and objective characterization of the degree of disease progression and disease-related subtrajectories challenging. Here, we use in vivo multimodal neuroimaging data and computational models to generate personalized indices of ALS progression and subtrajectory. We used structural and diffusion weighted imaging of 691 participants (58% ALS) from two independent ALS data sets (North American and Utrecht cohorts) to extract regional values of grey matter (DM) density and white matter (WM) microstructural integrity. Contrastive trajectory inference (cTI) allowed us to identify and separate latent, multivariate patterns in neuroimaging features highlighting ALS-associated pathological processes, which were used to generate subject-specific indices of disease progression and subtrajectory.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 1065-9471
Relation: https://dspace.library.uu.nl/handle/1874/467720
Availability: https://dspace.library.uu.nl/handle/1874/467720
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.1CA7D57C
Database: BASE