bioRxivNeurosciencePreprint
Brain network dynamics determine tau presence while regional vulnerability governs tau load in Alzheimer's disease
Yu XiaoiD, Nicola SpotornoiD, Lijun AniD, Vincent BazinetiD, Justine Y. HanseniD, Olof T. Strandberg, Golia ShafieiiD, Hamid BehjatiD, Thomas FunckiD, Gemma SalvadóiD, Erik StomrudiD, Ruben A SmithiD, Sebastian PalmqvistiD, Rik OssenkoppeleiD, Niklas MattssoniD, Nicola Palomero‐GallagheriD, Alain DagheriD, Bratislav MišićiD, Oskar HanssoniD, Jacob W. VogeliD
Abstract
In Alzheimers disease (AD), tau pathology accumulates gradually throughout the brain, with clinical decline reflecting tau progression. A comprehensive understanding of, first, whether tau propagation is predominantly governed by connectome-based diffusion, regional vulnerability, or an interplay of both, and second, which types of brain connectivity or regional factors best explain tau propagation, remains crucial for advancing our understanding of AD progression. Here, we apply multi-scale, biologically informed disease progression simulations to human data, to disentangle the influence of local mechanisms on global tau progression patterns in AD. We find that whether tau reaches a brain region (presence) and how much tau accumulates there (load) are governed by different mechanisms. Tau presence patterns are highly consistent across the population, and can be largely explained through synaptic spread through white-matter networks and excitatory-inhibitory dynamics. Meanwhile tau load differs across people, and is driven by a combination of synaptic spread and intrinsic or extrinsic regional properties, including regional {beta}-amyloid load, MAPT gene expression and regional blood flow. Finally, while distinct tau patterns in the population could each be explained by established AD mechanisms, our models highlight a role of distinct brain networks (parietal networks in MTL-sparing AD tau subtype) and neurotransmitter systems (cholinergic system in posterior subtype). Together, this work suggests that network dynamics likely determine the sequence of regional tau progression, while individual-specific tissue-vulnerability factors influence regional tau load.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
- Citations
- 6
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease
Jacob W. Vogel, Yasser Iturria‐Medina, … Mark A. Mintun·Nature CommunicationsPeer-reviewed·May 26, 2020
- Personalised Regional Modelling Predicts Tau Progression in the Human Brain
Pavanjit Chaggar, Jacob W. Vogel, … Alain Goriely·PLoS BiologyPeer-reviewed·Jul 21, 2025
- Whole-brain modeling of the differential influences of Amyloid-Beta and Tau in Alzheimer's Disease
Gustavo Patow, Leon Stefanovski, … Alzheimer’s Disease Neuroimaging Initiative·Alzheimer s Research & TherapyPeer-reviewed·Dec 5, 2023
- Amyloid-β and tau pathologies relate to distinctive brain dysconnectomics in preclinical autosomal-dominant Alzheimer's disease
Edmarie Guzmán‐Vélez, Ibai Palacio Diez, … Yakeel T. Quiroz·Proceedings of the National Academy of SciencesPeer-reviewed·Apr 5, 2022
- Connectome-mediated prediction of future tau-PET burden in Alzheimer's disease
Pablo F. Damasceno, Renaud La Joie, … Ashish Raj·Journal of Biotechnology and BiomedicinePeer-reviewed·Jan 1, 2022
- Selective vulnerability and resilience to Alzheimer's disease tauopathy as a function of genes and the connectome
Chaitali Anand, Farras Abdelnour, … Ashish Raj·BrainPeer-reviewed·May 12, 2025