动态功能连接方法及在神经精神疾病中的应用研究

Dynamic functional connectivity analysis and its application in neuropsychiatric disorders

基于静息态功能磁共振成像的脑功能连接分析方法被广泛应用于神经精神疾病脑成像研究,其主要包括静态功能连接和动态功能连接(dynamic functional connectivity,DFC)。功能连接具有随时间动态变化的性质,静态功能连接无法揭示脑连接时变特征中包含的丰富信息。利用DFC方法,揭示大脑复杂神经活动的动态特性及其脑机制,已在临床研究中取得突破性的进展。然而,DFC各种方法之间缺乏可比性,其在临床应用中的结果也不尽相同。因此,作者梳理了DFC分析方法,并对这些方法在神经精神疾病中的最新研究进展进行综述。试图指出动态功能连接的改进方向,并对其在神经精神疾病中的应用作出展望。

Functional brain connectivity analysis based on resting-state functional magnetic resonance imaging has been widely used in the research of neuropsychiatric disorders,which includes static functional connectivity and dynamic functional connectivity(DFC).Functional connectivity has the characteristics of dynamic change with time,but static functional connectivity may not be sensitive enough to detect the alteration of neurofluctuations.DFC analysis has been implemented in order to reveal the mechanism of complex neural activities and it has made a breakthrough in many clinical studies.However,there is a lack of comparability among DFC methods,and their results in clinical application are different.In this paper,combing the methods of the DFC and the latest research results in neuropsychiatric disorders,we pointed out the improvement direction of DFC and introduced the applications prospect of DFC in diagnosis of clinical diseases.