摘要
中枢神经系统疾病是一类容易造成不可逆损伤、预后较差的疾病,早期干预能显著改善预后。神经血管耦合(neurovascular coupling, NVC)是维持人脑正常生理功能的重要神经机制,NVC失耦合可能是多种中枢神经系统疾病的潜在病理生理机制。功能磁共振成像(function MRI, fMRI)是无创研究人脑功能最为有效的成像技术,利用fMRI无创研究疾病状态下的NVC改变,对于理解中枢神经系统疾病的病理生理机制、早期诊断和早期干预具有重要意义。本文对基于fMRI的NVC在中枢神经系统疾病中的应用进展进行综述,探寻中枢神经系统疾病的潜在影像生物标记物,以期为疾病的早期诊断、治疗及预后判断等提供客观依据,为未来的中枢神经系统疾病研究提供新的视角。
Central nervous system diseases are a class of disorders that often lead to irreversible damage and have poor prognosis.Early intervention can significantly enhance the prognosis for these diseases.Neurovascular coupling(NVC)is a crucial neural mechanism responsible for maintaining normal physiological functions of the human brain.NVC decoupling may be an underlying pathophysiological mechanism in various central nervous system diseases.Functional MRI(fMRI)is a non-invasive imaging technique widely recognized for its effectiveness in studying the functional organization of the human brain.The utilization of fMRI techniques to non-invasively investigate NVC decoupling in diseased states holds significant implications for a better understanding the pathophysiological mechanisms,early diagnosis,and early intervention of central nervous system diseases.This article review the literature of fMRI-based NVC researches within central nervous system diseases,in order to find out the potential neuroimaging biomarkers for such disorders and provide an objective foundation for early disease diagnosis,treatment,and prognosis assessment,thereby offering a novel perspective for future research endeavors in the field of central nervous system diseases.
作者
冉海峰
张体江
RAN Haifeng;ZHANG Tijiang(Department of Radiology,the Affiliated Hospital of Zunyi Medical University,Zunyi 563000,China)
出处
《磁共振成像》
CAS
CSCD
北大核心
2023年第10期132-136,共5页
Chinese Journal of Magnetic Resonance Imaging
基金
国家自然科学基金项目(编号:82171919、81960312)
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)。
关键词
中枢神经系统疾病
神经血管单元
神经血管耦合
功能磁共振成像
磁共振成像
central nervous system diseases
neurovascular unit
neurovascular coupling
functional magnetic resonance imaging
magnetic resonance imaging