Research Projects

Almost 450 million people worldwide are impacted by neurological illnesses, which are severe and have a high financial cost. The two diseases with the fastest-rising public health concerns in developing nations are Alzheimer's (AD) and Parkinson's (PD). Sadly, in underdeveloped countries, the impact of these diseases is still widely underappreciated. How exactly amyloid-beta accumulates in the brain to develop AD is still unknown. We underline the significance of studying AD's prodromal or presymptomatic stages, which can help with the early identification of potential patients. Such research may lead to the development of treatment approaches that could help delay the onset of AD or alter its clinical trajectory. Consequently, to address these problems and comprehend how they might be managed using various mathematical techniques, we will attempt to construct or modify the existing neural models (such as complex network models, ODE, PDE, Deep learning, etc.). We will also use graph theory to replicate the connections in the brain and track the disease's development through time. Future research priorities linking various neural network models to the classical neural models will be identified by the project's outcomes. The proposed research will use a comprehensive approach to addressing the risks and progression of brain disorders. This research may significantly aid in understanding noise-induced electrical activity, synaptic mechanisms, different neurocomputational features, and properties of various neural networks for complex brain functioning in healthy and diseased conditions.