ArticleNetwork neuroscience (Cambridge, Mass.)2021
Braiding Braak and Braak: Staging patterns and model selection in network neurodegeneration.
Article in Network neuroscience (Cambridge, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Photonic and nanomaterial-driven optical biosensing strategies for Parkinson's disease.Mikrochimica acta · 2026Review
- A multiscale theory for network advection- reaction-diffusion.Journal of mathematical biology · 2026Article
- Alpha-Synuclein Neurobiology in Parkinson's Disease: A Comprehensive Review of Its Role, Mechanisms, and Therapeutic Perspectives.Brain sciences · 2025Review
- Linking dietary patterns to Alzheimer's disease biomarkers with network mathematical modeling could enable new approach methodologies in preventative AD research: a narrative interdisciplinary review.Frontiers in nutrition · 2025Review
- Neuronal activity induces symmetry breaking in neurodegenerative disease spreading.Journal of mathematical biology · 2024Article
- Article
- Unique Pathology in the Locus Coeruleus of Individuals with Down Syndrome.Journal of Alzheimer's disease : JAD · 2024Article
- Review
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4 authors at 1 institution in 1 country.
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Abstract
A hallmark of Alzheimer's disease is the aggregation of insoluble amyloid-beta plaques and tau protein neurofibrillary tangles. A key histopathological observation is that tau protein aggregates follow a structured progression pattern through the brain. Mathematical network models of prion-like propagation have the ability to capture such patterns, but a number of factors impact the observed staging result, thus introducing questions regarding model selection. Here, we introduce a novel approach, based on braid diagrams, for studying the structured progression of a marker evolving on a network. We apply this approach to a six-stage 'Braak pattern' of tau proteins, in Alzheimer's disease, motivated by a recent observation that seed-competent tau precedes tau aggregation. We show that the different modeling choices, from the model parameters to the connectome resolution, play a significant role in the landscape of observable staging patterns. Our approach provides a systematic way to approach model selection for network propagation of neurodegenerative diseases that ensures both reproducibility and optimal parameter fitting.
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