ArticleTranslational neurodegeneration2023
Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum.
Article in Translational neurodegeneration, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 16 citations in OpenAlex.
- Convergent TBK1 loss of function drives gasdermin E dependent pyroptosis and motor neuron degeneration across ALS genotypes.Cell death and differentiation · 2026Article
- Data-Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis.Annals of clinical and translational neurology · 2026Article
- Neural Organoid Models as a Platform for Studying Disease Mechanisms in Amyotrophic Lateral Sclerosis.Journal of neurochemistry · 2026Review
- Sex-Stratified Association of Regional Dopamine Transporter Binding With Disease Progression in Amyotrophic Lateral Sclerosis.Annals of clinical and translational neurology · 2026Article
- Article
- Multimodal Neuroimaging-Guided Stratification in Amyotrophic Lateral Sclerosis Reveals Three Disease Subtypes: A Multi-Cohort Analysis.Human brain mapping · 2025Article
- The interplay between circadian rhythms and aging: molecular mechanisms and therapeutic strategies.Biogerontology · 2025Review
- Blueprint of Collapse: Precision Biomarkers, Molecular Cascades, and the Engineered Decline of Fast-Progressing ALS.International journal of molecular sciences · 2025Review
- A Slower-Progressing TDP-43 rNLS8 Mouse Model for ALS: Implications for Preclinical and Mechanistic Studies.Neuromolecular medicine · 2025Article
- Amyotrophic lateral sclerosis and frontotemporal dementia mutation reduces endothelial TDP-43 and causes blood-brain barrier defects.Science advances · 2025Article
- Progranulin deficiency in the brain: the interplay between neuronal and non-neuronal cells.Translational neurodegeneration · 2025Review
- Disparate and shared transcriptomic signatures associated with cortical atrophy in genetic behavioral variant frontotemporal degeneration.Molecular neurodegeneration · 2025Article
- Deep learning-driven MRI for accurate brain volumetry in murine models of neurodegenerative diseases.Frontiers in neuroscience · 2025Article
- Two distinct trajectories of brain volume loss in myotonic dystrophy type 1 via machine learning.Brain communications · 2025Article
- Artificial Intelligence-Assisted Comparative Analysis of the Overlapping Molecular Pathophysiology of Alzheimer's Disease, Amyotrophic Lateral Sclerosis, and Frontotemporal Dementia.International journal of molecular sciences · 2024Article
- Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms.Translational psychiatry · 2024Review
- Greater white matter degeneration and lower structural connectivity in non-amnestic vs. amnestic Alzheimer's disease.Frontiers in neuroscience · 2024Article
- Data-driven subtyping and staging of ALS: A multicenter, longitudinal, deformation-based morphometry study.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
14 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundTDP-43 proteinopathies represent a spectrum of neurological disorders, anchored clinically on either end by amyotrophic lateral sclerosis (ALS) and frontotemporal degeneration (FTD). The ALS-FTD spectrum exhibits a diverse range of clinical presentations with overlapping phenotypes, highlighting its heterogeneity. This study was aimed to use disease progression modeling to identify novel data-driven spatial and temporal subtypes of brain atrophy and its progression in the ALS-FTD spectrum.
methodsWe used a data-driven procedure to identify 13 anatomic clusters of brain volume for 57 behavioral variant FTD (bvFTD; with either autopsy-confirmed TDP-43 or TDP-43 proteinopathy-associated genetic variants), 103 ALS, and 47 ALS-FTD patients with likely TDP-43. A Subtype and Stage Inference (SuStaIn) model was trained to identify subtypes of individuals along the ALS-FTD spectrum with distinct brain atrophy patterns, and we related subtypes and stages to clinical, genetic, and neuropathological features of disease.
resultsSuStaIn identified three novel subtypes: two disease subtypes with predominant brain atrophy in either prefrontal/somatomotor regions or limbic-related regions, and a normal-appearing group without obvious brain atrophy. The limbic-predominant subtype tended to present with more impaired cognition, higher frequencies of pathogenic variants in TBK1 and TARDBP genes, and a higher proportion of TDP-43 types B, E and C. In contrast, the prefrontal/somatomotor-predominant subtype had higher frequencies of pathogenic variants in C9orf72 and GRN genes and higher proportion of TDP-43 type A. The normal-appearing brain group showed higher frequency of ALS relative to ALS-FTD and bvFTD patients, higher cognitive capacity, higher proportion of lower motor neuron onset, milder motor symptoms, and lower frequencies of genetic pathogenic variants. The overall SuStaIn stages also correlated with evidence for clinical progression including longer disease duration, higher King's stage, and cognitive decline. Additionally, SuStaIn stages differed across clinical phenotypes, genotypes and types of TDP-43 pathology.
conclusionsOur findings suggest distinct neurodegenerative subtypes of disease along the ALS-FTD spectrum that can be identified in vivo, each with distinct brain atrophy, clinical, genetic and pathological patterns.
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