Abstract
Despite the recent acceleration in the collection of information and data in the field of neuroscience, the very widespread neurodegenerative illness of Alzheimer's disease (AD) continues to be a major issue. The most frequent cause of dementia and the most common neurodegenerative illness is Alzheimer's disease (AD). There are currently no disease-modifying AD medications available, and our knowledge of the disease's causes is still limited. In the current study, we examine probable causes of AD and assess cutting-edge computational brain modelling techniques to better elucidate their potential involvement. In order to provide a mechanistic explanation of the illness, we first give an overview of the computational models for AD that are currently in use. We next discuss the possibility to use The Virtual Brain, an open-source, multiscale, whole-brain simulation neuroinformatics platform, to connect biochemical elements of neurodegeneration in AD with large-scale brain network modelling. Finally, we talk about how this analytical approach can help us better understand AD and enhance AD diagnosis and therapy.