Variance Analysis on Functional Connectivity of Resting-state fMRI Signals in Alzheimer’s Disease Patients

Abstract

The assessment of the brain network is a powerful tool for determining brain topological organisation, and it is been employed extensively in the study of mental disorders. Observing the brain’s connectivity patterns is one of the most effective approaches for analysing brain functionality. According to recent research, Alzheimer’s disease is significantly linked to the changes in network connection among distinct brain regions. In this work, five brain regions are chosen to be analyzed in showing the variation in functional connectivity. These regions are hippocampus, parahippocampus, olfactory, superior parietal gyrus and anterior cingulate gyrus. Pearson’s Correlation is used for determining the functional connection between the five brain regions. When comparing Alzheimer’s disease (AD) patients to Normal Controls, the findings indicate that there are higher variations of functional connectivity in AD patients.