Stability Analysis of Brain Functional Network in Alzheimer's Disease Based on Resting State Functional Magnetic Resonance Imaging

rsfMRI has been commonly used to study the neural mechanisms of the brain with great success as a non-invasive imaging technique. Recently, a novel dynamic functional connectivity approach named function stability which is based on rsfMRI can quantify stability of brain activity by calculating the Kendall Consensus Coefficient of voxel's dynamic functional connections across all windows were sliced from the whole scan time. Alzheimer's disease is a common neurodegenerative disease, whether stability of brain activity has changed is still unknown until now. So this study has calculated function stability of 32 AD patients and 45 healthy controls, and examined function stability of AD at the level of brain functional networks. The results showed that function stability changed in multiple brain functional networks such as SMN, VAN, DAN, FPN, LIM and SUB of AD patients, which may be related to cognitive-dysfunctions of AD, indicating that function stability can be used as a biomarker for detecting AD probably.