静息态功能连接梯度方法在神经精神疾病中的应用进展  

Advances in the application of resting-state functional connectivity gradient method in neuropsychiatric disorders

作　　者：唐思维 贺曦 蒋玉星 陈莉(审校)[1] TANG Siwei;HE Xi;JIANG Yuxing;CHEN Li(Department of Radiology,The Affiliated Hospital of North Sichuan Medical College,Nanchong 637002,China)

机构地区：[1]川北医学院附属医院影像科,南充637002

出　　处：《国际医学放射学杂志》2025年第2期168-172,共5页International Journal of Medical Radiology

基　　金：南充市市校科技战略合作专项(20SXZRKX0011)。

摘　　要：静息态功能连接梯度(FCG)是一种大脑功能连接(FC)分析方法,已广泛用于多种神经精神疾病的研究。FCG研究可采用功能连接矩阵构建、相似性矩阵构建、降维以及梯度对齐等方法,揭示大脑的拓扑结构并反映大脑内功能连接连续性的变化模式。概述FCG的各种方法,并就其在阿尔茨海默病(AD)、精神分裂症、重度抑郁症(MDD)、孤独症谱系障碍(ASD)及癫痫等疾病中的应用进展作一综述。The resting-state functional connectivity gradient(FCG)is a method for analyzing brain functional con-nectivity(FC)that has been widely used in the study of various neuropsychiatric disorders.FCG research utilizes techniques such as functional connectivity matrix construction,similarity matrix construction,dimensionality reduction,and gradient alignment to reveal the brain’s topological structure and reflect continuity of functional connectivity changes.This paper review summarizes different FCG methodologies and discusses its application advances in Alzheimer’s disease(AD),schizophrenia,major depressive disorder(MDD),autism spectrum disorder(ASD),and epilepsy.

关 键 词：磁共振成像 功能连接梯度 功能连接 神经系统疾病 精神分裂症 

分 类 号：R743[医药卫生—神经病学与精神病学] R445.2[医药卫生—临床医学]