Whole-brain modeling of the differential influences of amyloid-beta and tau in Alzheimer’s disease

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Abstract

Background: Alzheimer’s disease is a neurodegenerative condition associated with the accumulation of two misfolded proteins, amyloid-beta (A β) and tau. We study their effect on neuronal activity, with the aim of assessing their individual and combined impact. Methods: We use a whole-brain dynamic model to find the optimal parameters that best describe the effects of A β and tau on the excitation-inhibition balance of the local nodes. Results: We found a clear dominance of A β over tau in the early disease stages (MCI), while tau dominates over A β in the latest stages (AD). We identify crucial roles for A β and tau in complex neuronal dynamics and demonstrate the viability of using regional distributions to define models of large-scale brain function in AD. Conclusions: Our study provides further insight into the dynamics and complex interplay between these two proteins, opening the path for further investigations on biomarkers and candidate therapeutic targets in-silico.

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Patow, G., Stefanovski, L., Ritter, P., Deco, G., & Kobeleva, X. (2023). Whole-brain modeling of the differential influences of amyloid-beta and tau in Alzheimer’s disease. Alzheimer’s Research and Therapy, 15(1). https://doi.org/10.1186/s13195-023-01349-9

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