@inproceedings{31ba1c9c44004291a77534fc905f17f0,
title = "Changes of the Local Brain Network Property Regions in Alzheimer's Disease Based on Graph Theory",
abstract = "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.",
keywords = "Alzheimer's disease, brain network, clinical neuropsychological examination, functional Magnetic Resonance Imaging, graph theory",
author = "Bing Zhu and Qi Li and Chunjie Guo and Yu Yang and Jinglong Wu and Zhilin Zhang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 16th ICME International Conference on Complex Medical Engineering, CME 2022 ; Conference date: 04-11-2022 Through 06-11-2022",
year = "2022",
doi = "10.1109/CME55444.2022.10063306",
language = "English",
series = "2022 16th ICME International Conference on Complex Medical Engineering, CME 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "151--155",
booktitle = "2022 16th ICME International Conference on Complex Medical Engineering, CME 2022",
address = "United States",
}