复杂网络分析技术在阿尔兹海默症患者脑结构和功能影像中的应用进展
Review on complex network analysis techniques in the brain structural and functional imaging of Alzheimer's disease patients
黄建 1王志2
作者信息
- 1. 郴州市第一人民医院院前急救科,湖南郴州 423000
- 2. 湘南学院附属医院(临床学院)全科医学科,湖南郴州 423000
- 折叠
摘要
对复杂网络分析技术在阿尔兹海默症(AD)脑影像研究中的应用进展进行综述,总结分析该技术在揭示AD患者脑结构和功能异常等方面的研究成果,并探讨其在AD早期诊断和病程监测中的潜在价值,以及当前研究的局限性和挑战,并总结未来研究方向,包括新网络分析技术开发、多模态影像数据整合及机器学习技术等.
Abstract
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.
关键词
阿尔兹海默症/磁共振成像/复杂网络分析技术/综述Key words
Alzheimer's disease/magnetic resonance imaging/complex network analysis technique/review引用本文复制引用
基金项目
湖南省自然科学基金(2022JJ30753)
出版年
2024
NETL
NSTL
万方数据