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[01187] Dynamic, data-driven neurodegeneration: Modelling clearance and proteopathy in Alzheimer’s disease

  • Session Time & Room : 3E (Aug.23, 17:40-19:20) @A601
  • Type : Contributed Talk
  • Abstract : The clinical research community has raised the alarm on the importance of studying the role of clearance in Alzheimer’s disease. We heed this alarm by developing and analysing the first network reaction-diffusion dynamical system coupling clearance and proteopathy. Analytical insights, and computational results on high-resolution brain graphs constructed from human data, demonstrate the connections between clearance and neurodegeneration. Our results suggest clearance deficits may play an important role in the onset and trajectory of Alzheimer's.
  • Classification : 92-10, 37N25
  • Author(s) :
    • Georgia Staf Brennan (University of Oxford)
    • Alain Goriely (University of Oxford)
    • Marie Rognes (Simula Research Laboratory)
    • Travis Thompson (Texas Tech University)
    • Hadrien Oliveri (University of Oxford)