A Prototype of Brain Network Simulator for Spatiotemporal Dynamics of Alzheimer’s Disease

• Main Authors: Song-Yun Lu, 盧松筠
• Other Authors: Hsing Mei
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/21951297778171319107

碩士 === 輔仁大學 === 資訊工程學系碩士班 === 101 === In this study, we initiate a new type of simulation tool for helping the comprehensive study of the human brain. By the inspiration of Human Connectome Project under National institutes of Health of the United States and the emerging network science, we propose a brain network simulator for simulating structural and functional dynamics of the human brain. The layered architecture of brain network simulator is based on the mapping between the similarities of Internet and the human brain. The brain network and brain anatomic components are integrated as the first framework described and designed by object-oriented concepts of the brain network simulator. The proposed case-based incremental delivery approach ensures that the brain network simulator is flexible enough to be enhanced and kept evolving case by case. For demonstrating the brain network simulator, we choose Alzheimer’s disease at first as the case study due to its characteristics on structural and functional dynamics. We review several models of Alzheimer’s disease about the time course of structural and functional changes of the human brain and propose a spatiotemporal model for Alzheimer’s disease simulation. By applying the model, we can see structural and functional dynamics of the human brain affected by Alzheimer’s disease on the brain network simulator. This helps the studies of the changes of the human brain correlated to Alzheimer’s disease