Exploring Alzheimer's disease:a comprehensive brain connectome-based survey  

作　　者：Lu Zhang Junqi Qu Haotian Ma Tong Chen Tianming Liu Dajiang Zhu 

机构地区：[1]Department of Computer Science and Engineering,The University of Texas at Arlington,Arlington,TX 76019,USA [2]Department of Computer Science,The University of Georgia,Athens,GA 30602,USA

出　　处：《Psychoradiology》2024年第1期43-57,共15页精神影像学(英文)

基　　金：supported by National Institutes of Health(R01AG075582,RF1NS128534).

摘　　要：Dementia is an escalating global health challenge,with Alzheimer's disease(AD)at its forefront.Substantial evidence highlights the accumulation of AD-related pathological proteins in specific brain regions and their subsequent dissemination throughout the broader area along the brain network,leading to disruptions in both individual brain regions and their interconnections.Although a comprehensive understanding of the neurodegeneration-brain network link is lacking,it is undeniable that brain networks play a pivotal role in the development and progression of AD.To thoroughly elucidate the intricate network of elements and connections constituting the human brain,the concept of the brain connectome was introduced.Research based on the connectome holds immense potential for revealing the mechanisms underlying disease development,and it has become a prominent topic that has attracted the attention of numerous researchers.In this review,we aim to systematically summarize studies on brain networks within the context of AD,critically analyze the strengths and weaknesses of existing methodologies,and offer novel perspectives and insights,intending to serve as inspiration for future research.

关 键 词：Alzheimer’s disease brain-connectome graph theory deep graph neural networks 

分 类 号：R74[医药卫生—神经病学与精神病学]