ArticleFrontiers in neurology2017
Predictive Model of Spread of Progressive Supranuclear Palsy Using Directional Network Diffusion.
Article in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 44 citations in OpenAlex.
- A multiscale theory for network advection- reaction-diffusion.Journal of mathematical biology · 2026Article
- Network spreading and local biological vulnerability in amyotrophic lateral sclerosis.Communications biology · 2025Article
- Modelling pathological spread through the structural connectome in the frontotemporal dementia clinical spectrum.Brain : a journal of neurology · 2025Article
- Connectome-based biophysical models of pathological protein spreading in neurodegenerative diseases.PLoS computational biology · 2025Review
- Sink-index: a network-based EEG marker for frontotemporal dementia and Alzheimer's disease.Brain communications · 2025Article
- Beyond the usual suspects: multi-factorial computational models in the search for neurodegenerative disease mechanisms.Translational psychiatry · 2024Review
- Stepwise Functional Brain Architecture Correlates with Atrophy in Progressive Supranuclear Palsy.Movement disorders : official journal of the Movement Disorder Society · 2024Article
- Connectome-based biophysics models of Alzheimer's disease diagnosis and prognosis.Translational research : the journal of laboratory and clinical medicine · 2023Review
- Solving brain circuit function and dysfunction with computational modeling and optogenetic fMRI.Science (New York, N.Y.) · 2022Review
- Modeling seeding and neuroanatomic spread of pathology in amyotrophic lateral sclerosis.NeuroImage · 2022Article
- Prefrontal connectomics: from anatomy to human imaging.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Review
- Graph Models of Pathology Spread in Alzheimer's Disease: An Alternative to Conventional Graph Theoretic Analysis.Brain connectivity · 2021Review
- Emergence of directional bias in tau deposition from axonal transport dynamics.PLoS computational biology · 2021Article
- Computational modeling of tau pathology spread reveals patterns of regional vulnerability and the impact of a genetic risk factor.Science advances · 2021Article
- Predicting MCI to AD Conversation Using Integrated sMRI and rs-fMRI: Machine Learning and Graph Theory Approach.Frontiers in aging neuroscience · 2021Article
- Network-constrained technique to characterize pathology progression rate in Alzheimer's disease.Brain communications · 2021Article
- Braiding Braak and Braak: Staging patterns and model selection in network neurodegeneration.Network neuroscience (Cambridge, Mass.) · 2021Article
- Protein-protein interactions in neurodegenerative diseases: A conspiracy theory.PLoS computational biology · 2020Article
- Defining and predicting transdiagnostic categories of neurodegenerative disease.Nature biomedical engineering · 2020Article
- Glucocerebrosidase Activity Modulates Neuronal Susceptibility to Pathological α-Synuclein Insult.Neuron · 2020Article
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3 authors at 1 institution in 1 country.
Funding
Abstract
Several neurodegenerative disorders including Alzheimer's disease (AD), frontotemporal dementia (FTD), Parkinson's disease (PD), amyotrophic lateral sclerosis, and Huntington's disease report aggregation and transmission of pathogenic proteins between cells. The topography of these diseases in the human brain also, therefore, displays a well-characterized and stereotyped regional pattern, and a stereotyped progression over time. This is most commonly true for AD and other dementias characterized by hallmark misfolded tau or alpha-synuclein pathology. Both tau and synuclein appear to propagate within brain circuits using a shared mechanism. The most canonical synucleopathy is PD; however, much less studied is a rare disorder called progressive supranuclear palsy (PSP). The hallmark pathology and atrophy in PSP are, therefore, also highly stereotyped: initially appearing in the striatum, followed by its neighbors and connected cortical areas. In this study, we explore two mechanistic aspects hitherto unknown about the canonical network diffusion model (NDM) of spread: (a) whether the NDM can apply to other common degenerative pathologies, specifically PSP, and (b) whether the directionality of spread is important in explaining empirical data. Our results on PSP reveal two important findings: first, that PSP is amenable to the connectome-based ND modeling in the same way as previously applied to AD and FTD and, second, that the NDM fit with empirical data are significantly enhanced by using the directional rather than the non-directional form of the human connectome. Specifically, we show that both the anterograde model of transmission (some to axonal terminal) and retrograde mode explain PSP topography more accurately than non-directional transmission. Collectively, these data show that the intrinsic architecture of the structural network mediates disease spread in PSP, most likely
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