基于静息态功能磁共振成像的动态功能连接分析及临床应用研究进展

A review of methods and clinical applications for dynamic functional connectivity analysis based on resting-state functional magnetic resonance imaging

基于静息态功能磁共振成像的脑功能连接分析方法已经在临床医学研究中被普遍用于疾病的神经机制和诊疗研究。近年来,研究者发现仅考虑静态的功能连接不足以解释大脑时变动态的信息交互,而应该研究功能连接的动态性以揭示大脑网络复杂多变的特性及其机制。已有许多临床研究成果表明动态功能连接分析能为临床疾病的病理探究和辅助诊断提供更好的依据,但同时也存在着问题与局限。笔者通过归纳总结常用估算方法、特征提取方法和可靠性检验及统计分析方法,综合论述了基于静息态功能磁共振成像的动态功能连接分析研究进展,并介绍了基于静息态数据的动态功能连接分析在常见临床疾病中的应用及前景。

Functional brain connectivity analysis based on resting-state functional magnetic resonance(fMRI)has been widely used in clinical medicine for studying neural mechanism and developing new diagnosis methods.Traditionally,functional connectivity is assumed to be static in time,but recently researchers have found that the dynamic characteristics of functional connectivity are functionally and clinically relevant for they can provide more information about the brain networks than static functional connectivity.Therefore,the study of dynamic functional connectivity(dFC)has attracted more and more interests.Many clinical studies have shown that dynamic functional connectivity analysis can provide a better proof for the pathologic exploration and auxiliary diagnosis of clinical diseases,but there are still many problems and limitations.This paper is aimed to systemically review existing methods for estimating dFC and extracting dFC features as well as the validating,the reliability and the statistical analysis of dFC analysis.Lastly,we introduced the applications of dFC analysis based on resting-state fMRI in diagnosis of clinical diseases.