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Sarbaz, Y.

Publications and source records attributed to Sarbaz, Y..

3 recordsLinked to original sources

A Novel Hypothesis for Migraine Disease Mechanism: The Creation of a New Attractor Responsible for Migraine Disease Symptoms

Migraine Disease (MD) is one of the primary headaches in which the pathophysiological mechanism is yet unknown. It is still unclear how the ictal phases periods are determined? Why can any small trigger sometimes initiate the ictal phase, and sometimes, even bigger triggers cannot? Considering the brain as a dynamic system and proposing a complex system model for that as a migraineur or a healthy subject is a viable method. Here, the interaction between whole neurons is analyzed rather than individual neurons. This model is a complex system with a chaotic attractor. With parameter alternations, this attractor changes from one scroll to double scroll, representing a healthy or a migraineur brain. In the proposed system, the attractors borders are the regions where every small trigger can start the ictal phase, while the outer areas are the non-sensitive brain situations. We believe that MD and Chuas systems have certain behavioral similarities. This study aimed to explain the function of MD and offer a theory that adequately describes its behavior. Finally, it has been tried to discuss some physiological evidences such as Migraine Generator Network (MGN), Cortical Spreading Depression (CSD), and the role of Serotonin and other substances in relation to the expressed hypotheses. This insight may propose newer methods for preventing or curing MD. Knowing the functioning of dynamic systems and finding similar behaviors with MD on the one hand, as well as linking physiological and pathophysiological evidence with a quantitative model can be very useful in better understanding, managing, and controlling the MD.

neuroscience↗

Novel Mathematical Model Based on Cellular Automata for Study of Alzheimer's Disease Progress

In recent years, extensive research has been done for the prediction, treatment, and recognition of Alzheimers disease (AD). Among these scientific works, mathematical modeling of AD is an efficient way to study the influence of various parameters such as drugs on AD progression. This paper proposes a novel model based on Cellular Automata (CA), a powerful collection of colored cells, for the investigation of AD progress. In our model, the synapses of each neuron have been considered as square cells located around the central cell. The key parameter for the progression of AD in our model is the amount of amyloid-{beta} (A{beta}), which is calculated by differential rate equations of the Puri-Li model. Based on the proposed model in this article, we introduce a new definition of AD Rate for a M x L-neuron network, which can be expanded for the whole space of the hippocampus. To better illustrate the mechanism of this model, we simulate a 3x3 neuron network and discuss the obtained results. Our numerical results show that the variations of some parameters have a great effect on AD progress. For instance, it is obtained that AD Rate is more sensitive to astroglia variations, in comparison to microglia variations. The presented model can improve the scientist's insight into the progress of AD, which will assist them to effectively consider the influence of various parameters on AD.

neuroscience↗

Evaluation of Various Drugs' Influence on Alzheimer's Disease Progress Using a New Analytical Model Based on Cellular Automata

This article aims to introduce and propose a novel mathematical model for the study of Alzheimers disease (AD) progress. The presented model is based on Cellular Automata for better representation of AD progression. The differential equations of the Puri-Li model are utilized to calculate the number of Amyloid-{beta} molecules. Also, a new definition for AD rate is presented in this study. Moreover, other useful factors such as Critical Rate (CR) and Warning Rate (WR) are defined to determine the status of AD progression. To get exact insight into the neuron-to-neuron communications, the model is obtained for a 3x3 neuron system to investigate the influence of drug injection on the reduction of AR, CR, and WR factors. It is shown that using drugs can decrease AR and CR factors and also enhance the WR. The presented study can be utilized for the investigation of various factors in the control and treatment of AD progression.

systems biology↗