Review on complex network analysis techniques in the brain structural and functional imaging of Alzheimer's disease patients
A comprehensive review of the progress in applying complex network analysis techniques to brain imaging studies of Alzheimer's disease(AD)is provided.It summarizes the research findings of these techniques in revealing the abnormalities in brain structure and function of AD patients,explores the potential value of these techniques in the early diagnosis and disease progression monitoring of AD,and discusses the current limitations and challenges.Furthermore,it also outlines future research directions,including the development of new network analysis methods,integration of multimodal imaging data,and the application of machine learning technologies.