ArticleNeuroImage2021
Longitudinal predictive modeling of tau progression along the structural connectome.
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 21 citations in OpenAlex.
- Mapping individual molecular connectomes in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Network Diffusion Modeling in Computational Neuroscience.Advances in experimental medicine and biology · 2026Article
- Functional network contributions to longitudinal tau spread in Posterior Cortical Atrophy.NPJ dementia · 2026Article
- Integrating individualized connectome with amyloid pathology improves predictive modeling of future cognitive decline.Communications medicine · 2025Article
- Longitudinal biomarker studies in human neuroimaging: capturing biological change of Alzheimer's pathology.Alzheimer's research & therapy · 2025Review
- Hemispheric asymmetry of tau pathology is related to asymmetric amyloid deposition in Alzheimer's Disease.Nature communications · 2025Article
- Default mode network tau predicts future clinical decline in atypical early Alzheimer's disease.Brain : a journal of neurology · 2025Article
- Network Diffusion-Constrained Variational Generative Models for Investigating the Molecular Dynamics of Brain Connectomes Under Neurodegeneration.International journal of molecular sciences · 2025Article
- Default mode network tau predicts future clinical decline in atypical early Alzheimer's disease.medRxiv : the preprint server for health sciences · 2024Article
- Combining multimodal connectivity information improves modelling of pathology spread in Alzheimer's disease.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- The Alzheimer's Disease Neuroimaging Initiative in the era of Alzheimer's disease treatment: A review of ADNI studies from 2021 to 2022.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight.Nature reviews. Neuroscience · 2023Review
- Network Tau spreading is vulnerable to the expression gradients ofScience translational medicine · 2022Article
- Propagation of tau and α-synuclein in the brain: therapeutic potential of the glymphatic system.Translational neurodegeneration · 2022Review
- Research progress in neuroimaging of sporadic early-onset Alzheimer's disease.Frontiers in neurologyReview
- Unveiling unified patterns in Alzheimer's disease subtypes: An SCCA clustering approach integrating PET imaging and genomics data.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Tau neurofibrillary tangles, a pathophysiological hallmark of Alzheimer's disease (AD), exhibit a stereotypical spatiotemporal trajectory that is strongly correlated with disease progression and cognitive decline. Personalized prediction of tau progression is, therefore, vital for the early diagnosis and prognosis of AD. Evidence from both animal and human studies is suggestive of tau transmission along the brains preexisting neural connectivity conduits. We present here an analytic graph diffusion framework for individualized predictive modeling of tau progression along the structural connectome. To account for physiological processes that lead to active generation and clearance of tau alongside passive diffusion, our model uses an inhomogenous graph diffusion equation with a source term and provides closed-form solutions to this equation for linear and exponential source functionals. Longitudinal imaging data from two cohorts, the Harvard Aging Brain Study (HABS) and the Alzheimer's Disease Neuroimaging Initiative (ADNI), were used to validate the model. The clinical data used for developing and validating the model include regional tau measures extracted from longitudinal positron emission tomography (PET) scans based on the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.