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

Background Alzheimer's disease is a neurodegenerative condition associated with the accumulation of two misfolded proteins, amyloid-beta (A beta) 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 beta and tau on the excitation-inhibition balance of the local nodes. Results We found a clear dominance of A beta over tau in the early disease stages (MCI), while tau dominates over A beta in the latest stages (AD). We identify crucial roles for A beta 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.

Automated summary

This study investigates the impact of Aβ and tau on neuronal activity in Alzheimer's disease and reveals their different importance at different stages of the disease. The findings provide new insights for further research on biomarkers and potential therapeutic targets.