Exploring tau protein and amyloid-beta propagation: a sensitivity analysis of mathematical models based on biological data
<|reference_start|>Exploring tau protein and amyloid-beta propagation: a sensitivity analysis of mathematical models based on biological data: Alzheimer's disease is the most common dementia worldwide. Its pathological development is well known to be connected with the accumulation of two toxic proteins: tau protein and amyloid-$\beta$. Mathematical models and numerical simulations can predict the spreading patterns of misfolded proteins in this context. However, the calibration of the model parameters plays a crucial role in the final solution. In this work, we perform a sensitivity analysis of heterodimer and Fisher-Kolmogorov models to evaluate the impact of the equilibrium values of protein concentration on the solution patterns. We adopt advanced numerical methods such as the IMEX-DG method to accurately describe the propagating fronts in the propagation phenomena in a polygonal mesh of sagittal patient-specific brain geometry derived from magnetic resonance images. We calibrate the model parameters using biological measurements in the brain cortex for the tau protein and the amyloid-$\beta$ in Alzheimer's patients and controls. Finally, using the sensitivity analysis results, we discuss the applicability of both models in the correct simulation of the spreading of the two proteins.<|reference_end|>
@article{corti2024exploring,
    title={Exploring tau protein and amyloid-beta propagation: a sensitivity
  analysis of mathematical models based on biological data},
    author={Mattia Corti},
    journal={Brain Multiphysics 431. 100098 (2024)},
    year={2024},
    doi={10.1016/j.brain.2024.100098},
    archivePrefix={arXiv},
    eprint={2404.14169},
    primaryClass={math.NA cs.NA q-bio.QM}
}