ArticleAnnals of neurology2020
Connectome-Based Propagation Model in Amyotrophic Lateral Sclerosis.
Article in Annals of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.
- The imaging signature of C9orf72 hexanucleotide repeat expansions: implications for clinical trials and therapy development.Brain imaging and behavior · 2021Pooled it
- Global network and local vulnerabilities underlie brain atrophy across Parkinson's disease stages.Brain : a journal of neurology · 2026Article
- Corticospinal Subfiber Neurite Density Index Detects Upper Motor Neuron Degeneration in Prediagnostic Patients With Sporadic Amyotrophic Lateral Sclerosis.European journal of neurology · 2026Article
- Structural connectome architecture and biological vulnerability shape cortical atrophy in cocaine use disorder.BMC medicine · 2026Article
- Diffusion network model analysis of multimodal neuroimaging reveals differential patterns of brain disease propagation in four subgroups of ALS patients.Brain imaging and behavior · 2026Article
- Anatomical Associations Between Focal Mitochondrial Metabolism and Patterns of Neurodegeneration in Amyotrophic Lateral Sclerosis.Annals of neurology · 2026Article
- Fixel-based analysis to detect early fiber-specific white matter alterations in sporadic patients with amyotrophic lateral sclerosis.Brain imaging and behavior · 2026Article
- Subcortical microstructural impairment in amyotrophic lateral sclerosis: clinical correlates of neurite orientation dispersion and density imaging (NODDI) changes.Frontiers in neuroscience · 2026Article
- Network spreading and local biological vulnerability in amyotrophic lateral sclerosis.Communications biology · 2025Article
- Harmonizing network-based statistics across different atlases in brain connectome analysis.Communications biology · 2025Article
- Extracellular vesicles in TDP-43 proteinopathies: pathogenesis and biomarker potential.Molecular neurodegeneration · 2025Review
- Convergent large-scale network and local vulnerabilities underlie brain atrophy across Parkinson's disease stages: a worldwide ENIGMA study.medRxiv : the preprint server for health sciences · 2025Article
- New developments in imaging in ALS.Journal of neurology · 2025Review
- Normative structural connectome constrains spreading transient brain activity in generalized epilepsy.BMC medicine · 2025Article
- Cerebellar dysfunction in frontotemporal dementia: intra-cerebellar pathology and cerebellar network degeneration.Journal of neurology · 2025Article
- The Potential of Disease Progression Modeling to Advance Clinical Development and Decision Making.Clinical pharmacology and therapeutics · 2025Review
- In vivo mapping of sodium homeostasis disturbances in individual ALS patients: A brain 23Na MRI study.PloS one · 2025Article
- Review
- Clinical, Cortical, Subcortical, and White Matter Features of Right Temporal Variant FTD.Brain sciences · 2024Article
- Mismatch between clinically defined classification of ALS stage and the burden of cerebral pathology.Journal of neurology · 2024Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveClinical trials in amyotrophic lateral sclerosis (ALS) continue to rely on survival or functional scales as endpoints, despite the emergence of quantitative biomarkers. Neuroimaging-based biomarkers in ALS have been shown to detect ALS-associated pathology in vivo, although anatomical patterns of disease spread are poorly characterized. The objective of this study is to simulate disease propagation using network analyses of cerebral magnetic resonance imaging (MRI) data to predict disease progression.
methodsUsing brain networks of ALS patients (n = 208) and matched controls across longitudinal time points, network-based statistics unraveled progressive network degeneration originating from the motor cortex and expanding in a spatiotemporal manner. We applied a computational model to the MRI scan of patients to simulate this progressive network degeneration. Simulated aggregation levels at the group and individual level were validated with empirical impairment observed at later time points of white matter and clinical decline using both internal and external datasets.
resultsWe observe that computer-simulated aggregation levels mimic true disease patterns in ALS patients. Simulated patterns of involvement across cortical areas show significant overlap with the patterns of empirically impaired brain regions on later scans, at both group and individual levels. These findings are validated using an external longitudinal dataset of 30 patients.
interpretationOur results are in accordance with established pathological staging systems and may have implications for patient stratification in future clinical trials. Our results demonstrate the utility of computational models in ALS to predict disease progression and underscore their potential as a prognostic biomarker. ANN NEUROL 2020;87:725-738.
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