SIMULATION OF ACETYLCHOLINESTERASE INHIBITORS' IMPACTS ON EMERGING AND PROGRESSING ALZHEIMER'S DISEASE BY CELLULAR AUTOMATA MODELING.

Due to the complex nature of Alzheimer's disease (AD), it begins insidiously in the brain many years before the appearance of the first symptoms and is usually diagnosed, when the disease is progressive and symptoms have appeared. It can be said that AD's emergence is almost untrackable and the straightforward mechanism of AD is still unclear for the most part. Therefore, any kind of research on the emergence of AD can lead to valuable results for predicting and treating AD. Previously, we proposed a novel mathematical model based on cellular automata for the study of Alzheimer's disease progress. In this paper, cellular automata (CA) mathematical modeling is used as a tool for simulation and experimenting with drugs' effects in this far-fetched situation. For this goal, immune system interactions and neuron-to-neuron communications are assumed to have prominent roles. We have used the CA network, pathophysiological process, and physiological realities to get a clear insight into neuron-to-neuron communications. Our simple model investigates the influence of three Acetylcholinesterase Inhibitor injections, including Donepezil, Rivastigmine, and Galantamine on the reduction of defined factors such as Alzheimer's Rate (AR), Critical Rate (CR), and Warning Rate (WR). It is shown that using drugs has different effects on the betterment of neurons and can decrease AR and CR factors and enhance WR, many years before the appearance of symptoms. [ABSTRACT FROM AUTHOR]