Changes of the Local Brain Network Property Regions in Alzheimer's Disease Based on Graph Theory

Alzheimer's disease (AD) is an irreversible degenerative disease of the nervous system. Early diagnosis of Alzheimer's disease is the key to treatment. This study adopted clinical neuropsychological examinations and functional Magnetic Resonance Imaging brain network properties constructed by graph theory. The results of clinical neuropsychological examinations and five local network topological properties with significant differences among the AD, Mild Cognitive Impairment and normal control groups were analyzed. Twenty-seven local brain network property regions were extracted in the anatomical automatic marking (AAL) 90 template. In short, the changes in local brain network property regions can be used as important markers to distinguish AD patients. It also plays a reference effect on AD's early diagnosis.