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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

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Oxford college:
St Catherine's College
Role:
Author
ORCID:
0000-0002-6436-8483


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Funder identifier:
https://ror.org/019w4f821
Grant:
101115663
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Funder identifier:
https://ror.org/0472cxd90
Grant:
101141626
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Funder identifier:
https://ror.org/0341vw408
Programme:
Dipartimento di Eccellenza 2023–2027 programme
More from this funder
Funder identifier:
https://ror.org/013tf3c58
Grant:
10.55776/F65
More from this funder
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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