Journal article
A whole-brain model of amyloid beta accumulation and cerebral hypoperfusion in Alzheimer’s disease
- Abstract:
- Accumulation of amyloid beta proteins is a defining feature of Alzheimer’s disease, and is usually accompanied by cerebrovascular pathology. Evidence suggests that amyloid beta and cerebrovascular pathology are mutually reinforcing; in particular, amyloid beta suppresses perfusion by constricting capillaries, and hypoperfusion promotes the production of amyloid beta. Here, we propose a whole-brain model coupling amyloid beta and blood vessel through a hybrid model consisting of a reaction–diffusion system for the protein dynamics and porous– medium model of blood flow within and between vascular networks: arterial, capillary and venous. We discretize the resulting parabolic–elliptic system of PDEs by means of a high-order discontinuous Galerkin method in space and an implicit Euler scheme in time. Simulations in realistic brain geometries demonstrate the emergence of multistability, implying that a sufficiently large pathogenic protein seed is necessary to trigger a disease outbreak. Motivated by the ‘two-hit vascular hypothesis’ of Alzheimer’s disease that hypoperfusive vascular damage triggers amyloid beta pathology, we also demonstrate that localized hypoperfusion, in response to injury, can destabilize the healthy steady state and trigger brain-wide disease outbreak.
- Publication status:
- Accepted
- Peer review status:
- Peer reviewed
Actions
Authors
+ European Union
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- Funder identifier:
- https://ror.org/019w4f821
- Grant:
- 101115663
+ European Research Council
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- Funder identifier:
- https://ror.org/0472cxd90
- Grant:
- 101141626
+ Ministero dell'università e della ricerca
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- Funder identifier:
- https://ror.org/0341vw408
- Programme:
- Dipartimento di Eccellenza 2023–2027 programme
+ FWF Austrian Science Fund
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- Funder identifier:
- https://ror.org/013tf3c58
- Grant:
- 10.55776/F65
+ U.S. National Science Foundation
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- Funder identifier:
- https://ror.org/021nxhr62
- Grant:
- 2320933
- Publisher:
- Elsevier
- Journal:
- Computer Methods in Applied Mechanics and Engineering More from this journal
- Acceptance date:
- 2026-06-24
- EISSN:
-
1879-2138
- ISSN:
-
0045-7825
- Language:
-
English
- Keywords:
- Pubs id:
-
2437471
- Local pid:
-
pubs:2437471
- Deposit date:
-
2026-06-24
- ARK identifier:
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