基于MRI连接组在中枢神经系统疾病中的研究进展  

Research progress of fMRI in brain network remodeling and brain plasticity during stroke recovery

作　　者：黄可忻 张体江 HUANG Kexin;ZHANG Tijiang(Department of Radiology,Affiliated Hospital of Zunyi Medical University,Zunyi 563000,China;Department of Medical Technology,Bijie Medical College,Bijie 551700,China)

机构地区：[1]遵义医科大学附属医院放射科,遵义563000 [2]毕节医学高等专科学校医学技术系,毕节551700

出　　处：《磁共振成像》2025年第2期114-118,共5页Chinese Journal of Magnetic Resonance Imaging

基　　金：国家自然科学基金面上项目(编号:82171919);贵州省高等学校智能医学影像工程研究中心项目(编号:黔教技〔2023〕038号)。

摘　　要：随着神经影像技术的发展,非侵入性研究人体大脑结构和功能的方法愈加多样化和多元化。目前,基于MRI数据,利用不同的连接组学方法,已经揭示了中枢神经系统疾病大脑不同层次和维度异常,为疾病发生发展、认知功能障碍、疾病的预测与早期干预等提供了多角度的科学分析和解释。然而,基于脑连接组学的研究主要为结构或功能的单一角度,缺乏对连接组学的系统描述,不利于深入理解大脑网络的复杂性以及神经疾病的多维影响。因此,本文对脑连接组在中枢神经系统疾病的研究进展进行综述,有助于合理选择相关技术和方法,加深对神经系统疾病脑结构和功能异常的理解。With the advancement of neuroimaging technology,non-invasive methods for studying the structure and function of the human brain have become increasingly diverse and multifaceted.Currently,by utilizing diverse connectomics approaches based on magnetic resonance data,researchers have elucidated abnormalities at various hierarchical and dimensional levels in central nervous system diseases.This has provided multifaceted scientific analyses and explanations for the pathogenesis of diseases,cognitive dysfunction,and the prediction and early intervention of diseases.However,current connectomics-based research predominantly focuses on either structure or function,lacking a systematic description that integrates both aspects.This limitation impedes a comprehensive understanding of the complexity of brain networks and the multidimensional impacts of neurological disorders.Therefore,this paper is to review the advancements in brain connectivity research within the context of central nervous system diseases,assist in the judicious selection of relevant techniques and methods and enhance the understanding of the structural and functional impairments associated with neurological disorders.

关 键 词：中枢神经系统疾病 磁共振成像 连接组学 结构连接 功能连接 有效连接 

分 类 号：R445.2[医药卫生—影像医学与核医学] R741[医药卫生—诊断学]